Ass.Prof.Dr. Thamer Information theory 4th class in Communications Error Detection and Correction 1. Types of Errors Whenever bits flow from one point to another‚ they are subject to unpredictable changes because of interference. This interference can change the shape of the signal. In a single-bit error‚ a 0 is changed to a 1 or a 1 to a 0. The term single-bit error means that only 1 bit of a given data unit (such as a byte‚ character‚ or packet) is changed from 1 to 0 or from 0 to 1. The term
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Chapter 5 Information Theory and Coding In communication systems‚ information theory‚ pioneered by C. E. Shannon‚ generally deals with mathematical formulation of the information transfer from one place to another. It is concerned with source coding and channel coding. Source coding attempts to minimize the number of bits required to represent the source output at a given level of efficiency. Channel coding‚ on the other hand‚ is used so that information can be transmitted through the channel with
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ETM2126: INFORMATION THEORY & ERROR CODING Tutorial 2 Tutorial 2: Channel Capacity 1. Two identical binary symmetric channels with transition probability p are connected in cascade. i) Draw the original channel diagram. ii) Find the overall channel matrix of the resultant channel and then draw the equivalent channel diagram. 2. Find the value of conditional entropy for a noiseless binary channel. 3. A telephone line channel has a bandwidth of 3 kHz and a S/N
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MEDC – 301(A) Information Theory & Coding Unit 1 Introduction to uncertainty‚ information‚ entropy and its properties‚ entropy of binary memory less source and its extension to discrete memory less source‚ coding theorem‚ data compression‚ prefix coding‚ HUFFMAN coding‚ Lempel-Ziv Coding Unit 2 Discrete memory less channels‚ Binary symmetric channel‚ mutual information & its properties‚ channel capacity‚ channel coding theorem‚ and its application to BSC‚ Shannon’s theorem on channel capacity
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Information Processing Theory Angelica Soto 5/16/2010 AED/202 Professor Debra Elliott The information processing theory gives us a glance or an idea of the way people learn. It looks at the ways our mind processes any incoming information‚ and how it is processed and moved first into working memory and then into long-term memory. This theory also describes the way each of these component parts and the system linking them improves with time. Strong inclusion of the information processing
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coming of the age of the Information Society I. What is the Information Society? II. Reasons of the coming of the age of the IS III. Development of the IS B. Theories of the Information Society I. The medium is the message and Global Village (Marshall – 1960s) II. Post- Industrial Society (Daniel Bell) and Third wave (Alvin Toffler) III. Network society C. Effects D. Conclusion THEORIES OF THE INFORMATION SOCIETY A. The coming of the age of the Information Society I. What is the
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S K C T DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK SUB.NAME : COMMUNICATION THEORY YEAR /SEM : II / IV ______________________________________________________________________________ UNIT I AMPLITUDE MODULATION SYSTEMS PART-A (2 Marks) 1. Define Amplitude Modulation. 2. What is AM wave envelope? 3. Define modulation index for an AM wave. 4. List out the advantages of AM. 5. Define the transmission efficiency of AM signal 6. As related to AM
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Communication Theory. Course notes. Jaume Riba and Gregori V´zquez a February 16‚ 2012 Contents 0.1 0.2 Scope of the course . . . . . . . . . . . . . . . . . . . . . . . . Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 5 8 8 9 9 11 13 14 15 16 17 21 32 32 33 33 34 35 36 36 40 41 42 51 52 53 1 Capacity 1.1 A Definition of Information . . . . . . . . . . . . . . . . . . . 1.1.1 The discrete memory-less source . . . . . . . . . . . . 1.1.2 Measure of information . . . . .
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Information‚ in its most restricted technical sense‚ is a sequence of symbols that can be interpreted as a message. Information can be recorded as signs‚ or transmitted as signals. Information is any kind of event that affects the state of a dynamic system. Conceptually‚ information is the message (utterance or expression) being conveyed. The meaning of this concept varies in different contexts.[1] Moreover‚ the concept of information is closely related to notions of constraint‚ communication‚ control
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“How does INFORMATION help you in your daily life?” Information is a critical resource for decision making. It refers to data that has been processed and put into a meaningful context. . Information plays a significant role in our daily professional and personal lives and we are constantly challenged to take charge of the information that we need for work‚ fun and everyday decisions and tasks. Information is like water in my daily life. Information helps me quench my thirst for knowledge .I
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