https://cio-wiki.org//index.php?action=history&feed=atom&title=Information_Theory
Information Theory - Revision history
2026-06-04T07:18:29Z
Revision history for this page on the wiki
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https://cio-wiki.org//index.php?title=Information_Theory&diff=19216&oldid=prev
User at 15:13, 9 May 2024
2024-05-09T15:13:34Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:13, 9 May 2024</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Digital Communications: Information theory underpins the design and optimization of digital communication systems, including cellular networks, the Internet, and satellite communications.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Digital Communications: Information theory underpins the design and optimization of digital communication systems, including cellular networks, the Internet, and satellite communications.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Data Compression: Techniques for reducing the size of data files without significant loss of information, such as in JPEG image compression and MP3 audio compression, are based on principles from information theory.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Data Compression: Techniques for reducing the size of data files without significant loss of information, such as in JPEG image compression and MP3 audio compression, are based on principles from information theory.</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>*Cryptography: Information theory concepts, such as entropy, are applied in cryptography to analyze and secure communication systems against eavesdropping and tampering.</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>*<ins class="diffchange diffchange-inline">[[</ins>Cryptography<ins class="diffchange diffchange-inline">]]</ins>: Information theory concepts, such as entropy, are applied in cryptography to analyze and secure communication systems against eavesdropping and tampering.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Machine Learning and Artificial Intelligence: Information theory helps understand and design data encoding, clustering, and pattern recognition algorithms.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Machine Learning and Artificial Intelligence: Information theory helps understand and design data encoding, clustering, and pattern recognition algorithms.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Network Theory: Information theory influences the analysis of data flow and networks' capacity to handle information.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*Network Theory: Information theory influences the analysis of data flow and networks' capacity to handle information.</div></td></tr>
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https://cio-wiki.org//index.php?title=Information_Theory&diff=18872&oldid=prev
User at 16:16, 26 March 2024
2024-03-26T16:16:55Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:16, 26 March 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td>
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<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Information theory <del class="diffchange diffchange-inline">is </del>the <del class="diffchange diffchange-inline">mathematical treatment </del>of the <del class="diffchange diffchange-inline">concepts</del>, <del class="diffchange diffchange-inline">parameters </del>and <del class="diffchange diffchange-inline">rules governing </del>the transmission of <del class="diffchange diffchange-inline">messages through </del>communication systems. <del class="diffchange diffchange-inline">The techniques used </del>in information theory are <del class="diffchange diffchange-inline">probabilistic </del>in <del class="diffchange diffchange-inline">nature </del>and <del class="diffchange diffchange-inline">some view </del>information theory <del class="diffchange diffchange-inline">as </del>a <del class="diffchange diffchange-inline">branch </del>of <del class="diffchange diffchange-inline">[[Probability </del>Theory<del class="diffchange diffchange-inline">|probability </del>theory<del class="diffchange diffchange-inline">]]</del>. Information theory <del class="diffchange diffchange-inline">also </del>provides <del class="diffchange diffchange-inline">methodologies </del>to <del class="diffchange diffchange-inline">separate real </del>information <del class="diffchange diffchange-inline">from </del>noise and to <del class="diffchange diffchange-inline">determine </del>the <del class="diffchange diffchange-inline">channel capacity required </del>for <del class="diffchange diffchange-inline">optimal transmission conditioned on </del>the <del class="diffchange diffchange-inline">transmission rate</del>.<del class="diffchange diffchange-inline"><ref>Definition</del>: <del class="diffchange diffchange-inline">What is nformation </del>Theory<del class="diffchange diffchange-inline">? [https</del>:<del class="diffchange diffchange-inline">//www</del>.<del class="diffchange diffchange-inline">sciencedirect</del>.<del class="diffchange diffchange-inline">com/topics/neuroscience/</del>information-<del class="diffchange diffchange-inline">theory L</del>. <del class="diffchange diffchange-inline">Martignon]</ref></del></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== What is Information Theory? ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">Information Theory is a mathematical framework for understanding the quantification, storage, and communication of information. Claude Shannon originally proposed it in his landmark paper "A Mathematical Theory of Communication" in 1948, which laid the foundation for modern digital communications and data compression technologies. Information theory primarily deals with entropy, information content, and redundancy, providing insights into signal processing and communication limits across a noisy channel.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== Core Concepts of </ins>Information <ins class="diffchange diffchange-inline">Theory ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Entropy: Entropy measures a system's uncertainty or randomness. In information </ins>theory<ins class="diffchange diffchange-inline">, it quantifies the average amount of information produced by a stochastic source of data. High entropy means the source produces highly unpredictable data, while low entropy indicates a more predictable source.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Information Content: Also known as self-information, it measures </ins>the <ins class="diffchange diffchange-inline">amount </ins>of <ins class="diffchange diffchange-inline">information in a single event or outcome, with more surprising or less likely events carrying more information.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Channel Capacity is </ins>the <ins class="diffchange diffchange-inline">maximum rate at which information can be reliably transmitted over a communication channel</ins>, <ins class="diffchange diffchange-inline">given the channel's bandwidth and noise level. This concept is central to understanding data transmission limits </ins>and <ins class="diffchange diffchange-inline">designing efficient communication systems.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Redundancy: Redundancy refers to the portion of information that is not necessary for maintaining the integrity of </ins>the <ins class="diffchange diffchange-inline">content. Reducing redundancy without losing essential information is key to effective data compression.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Error Correction and Detection: Information theory also addresses methods for detecting and correcting errors in data </ins>transmission<ins class="diffchange diffchange-inline">, ensuring reliable communication over imperfect channels.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== Applications </ins>of <ins class="diffchange diffchange-inline">Information Theory ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Digital Communications: Information theory underpins the design and optimization of digital </ins>communication systems<ins class="diffchange diffchange-inline">, including cellular networks, the Internet, and satellite communications</ins>.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Data Compression: Techniques for reducing the size of data files without significant loss of information, such as </ins>in <ins class="diffchange diffchange-inline">JPEG image compression and MP3 audio compression, are based on principles from </ins>information theory<ins class="diffchange diffchange-inline">.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Cryptography: Information theory concepts, such as entropy, </ins>are <ins class="diffchange diffchange-inline">applied </ins>in <ins class="diffchange diffchange-inline">cryptography to analyze and secure communication systems against eavesdropping and tampering.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Machine Learning and Artificial Intelligence: Information theory helps understand and design data encoding, clustering, </ins>and <ins class="diffchange diffchange-inline">pattern recognition algorithms.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Network Theory: Information theory influences the analysis of data flow and networks' capacity to handle information.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== Challenges in Information Theory ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Noise and Interference: Addressing the impact of noise and interference on communication channels to improve the reliability and efficiency of data transmission.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Data Security: Ensuring secure communication and protection against unauthorized access or data breaches, especially in an era of increasing cyber threats.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Bandwidth Limitations: Maximizing data transmission rates within the physical limitations of communication channels and available bandwidth.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Complexity: Managing the complexity of theoretical models and practical implementations in rapidly evolving technological landscapes.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== Conclusion ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">Information Theory remains a foundational pillar in telecommunications, computer science, and electrical engineering. Its principles help in understanding the fundamental limits of communication systems and guide the development of technologies that drive our increasingly connected world. As we continue to push the boundaries of data transmission, compression, and encryption, </ins>information theory <ins class="diffchange diffchange-inline">will play </ins>a <ins class="diffchange diffchange-inline">crucial role in addressing the challenges and leveraging the opportunities </ins>of <ins class="diffchange diffchange-inline">the digital age.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">== See Also ==</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">Information theory is a mathematical framework for quantifying information, understanding communication processes, and analyzing communication systems' capacity to transmit information. Developed by Claude Shannon in the late 1940s, it has become foundational in various fields, including telecommunications, computer science, and cryptography. It deals with concepts like entropy (uncertainty or randomness), information content, data compression, error detection and correction, and channel capacity. </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Entropy (Information </ins>Theory<ins class="diffchange diffchange-inline">): Discussing the measure of the uncertainty or randomness of a system. In information </ins>theory<ins class="diffchange diffchange-inline">, entropy quantifies the amount of information contained in a message.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Data Compression: Covering techniques for reducing the size of data files, which is critical for efficient storage and transmission</ins>. Information theory provides <ins class="diffchange diffchange-inline">the theoretical framework for understanding the limits of data compression.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Error Detection and Correction: Explaining methods for ensuring accurate data transmission over noisy channels. Information theory describes the maximum channel capacity and how </ins>to <ins class="diffchange diffchange-inline">achieve reliable communication in the presence of errors.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Channel Capacity: Discussing the maximum rate at which </ins>information <ins class="diffchange diffchange-inline">can be transmitted over a communication channel with a specified bandwidth in the presence of </ins>noise<ins class="diffchange diffchange-inline">, a fundamental concept in information theory.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Coding Theory: Covering the study of the properties of codes and their respective fitness for specific applications. Codes are used for data compression, cryptography, error correction, and more in telecommunications and computer science.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*[[Signal Processing]]: discusses the analysis, modification, and synthesis of signals such as sound, images, </ins>and <ins class="diffchange diffchange-inline">scientific measurements. Information theory applies </ins>to <ins class="diffchange diffchange-inline">digital signal processing for filtering, compressing, and error-correcting signals.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Cryptography: Explaining </ins>the <ins class="diffchange diffchange-inline">practice and study of techniques </ins>for <ins class="diffchange diffchange-inline">secure communication in </ins>the <ins class="diffchange diffchange-inline">presence of adversaries. Information theory underpins much of modern cryptography, especially in understanding and designing secure systems</ins>.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Quantum Information Theory</ins>: <ins class="diffchange diffchange-inline">Covering the application of information theory to quantum mechanics, which includes the study of quantum computation, quantum entanglement, and quantum cryptography.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Network Information </ins>Theory: <ins class="diffchange diffchange-inline">Discussing the extension of information theory concepts to networks, including the analysis of communication flows and the capacity of networked communication systems</ins>.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Algorithmic Information Theory: Explaining the application of information theory to computer algorithms, focusing on the complexity and randomness of computational problems</ins>.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Shannon's Theorem: Covering theorems formulated by Claude Shannon that serve as the foundation of </ins>information <ins class="diffchange diffchange-inline">theory, including the noisy</ins>-<ins class="diffchange diffchange-inline">channel coding theorem, which establishes the maximum rate of error-free communication across a noisy channel.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins class="diffchange diffchange-inline">*Mutual Information: Discussing the amount of information obtained about one random variable through another. It is a measure of the amount of information that one variable contains about another</ins>.</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== References ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== References ==</div></td></tr>
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https://cio-wiki.org//index.php?title=Information_Theory&diff=4118&oldid=prev
User: Created page with "Information theory is the mathematical treatment of the concepts, parameters and rules governing the transmission of messages through communication systems. The techniques use..."
2019-02-11T17:28:37Z
<p>Created page with "Information theory is the mathematical treatment of the concepts, parameters and rules governing the transmission of messages through communication systems. The techniques use..."</p>
<p><b>New page</b></p><div>Information theory is the mathematical treatment of the concepts, parameters and rules governing the transmission of messages through communication systems. The techniques used in information theory are probabilistic in nature and some view information theory as a branch of [[Probability Theory|probability theory]]. Information theory also provides methodologies to separate real information from noise and to determine the channel capacity required for optimal transmission conditioned on the transmission rate.<ref>Definition: What is nformation Theory? [https://www.sciencedirect.com/topics/neuroscience/information-theory L. Martignon]</ref><br />
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== References ==<br />
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