Introduction to information theory and data compression. (©2003)
- Record Type:
- Book
- Title:
- Introduction to information theory and data compression. (©2003)
- Main Title:
- Introduction to information theory and data compression
- Further Information:
- Note: Darrel Hankerson, Greg A. Harris, Peter D. Johnson, Jr.
- Other Names:
- Hankerson, Darrel R
Harris, Greg A
Johnson, Peter D (Peter Dexter), 1945- - Contents:
- Part I: Information Theory; ELEMENTARY PROBABILITY; Introduction; Events; Conditional Probability; Independence; Bernoulli Trials; An Elementary Counting Principle; On Drawing without Replacement; Random Variables and Expected, or Average, Value; The Law of Large Numbers; INFORMATION AND ENTROPY; How is Information Quantified?; Systems of Events and Mutual Information; Entropy; Information and Entropy; CHANNELS AND CHANNEL CAPACITY; Discrete Memoryless Channels; Transition Probabilities and Binary Symmetric Channels; Input Frequencies; Channel Capacity; Proof of Theorem 3.4.3, on the Capacity Equations; CODING THEORY; Encoding and Decoding; Prefix-Condition Codes and the Kraft-McMillan Inequality; Average Code Word Length and Huffman's Algorithm; Optimizing the Input Frequencies; Error Correction, Maximum Likelihood Decoding, Nearest Code Word Decoding and Reliability; Shannon's Noisy Channel Theorem; Error Correction with Binary Symmetric Channels and Equal Source Frequencies; The Information Rate of a Code; ; Part II: Data Compression; LOSSLESS DATA COMPRESSION BY REPLACEMENT SCHEMES; Replacement via Encoding Scheme; Review of the Prefix Condition; Choosing an Encoding Scheme; The Noiseless Coding Theorem and Shannon's Bound; ARITHMETIC CODING; Pure Zeroth-Order Arithmetic Coding: dfwld; What's Good about dfwld Coding: The Compression Ratio; What's Bad about dfwld Coding and Some Ways to Fix It; Implementing Arithmetic Coding; Notes; HIGHER-ORDER MODELING; Higher-OrderPart I: Information Theory; ELEMENTARY PROBABILITY; Introduction; Events; Conditional Probability; Independence; Bernoulli Trials; An Elementary Counting Principle; On Drawing without Replacement; Random Variables and Expected, or Average, Value; The Law of Large Numbers; INFORMATION AND ENTROPY; How is Information Quantified?; Systems of Events and Mutual Information; Entropy; Information and Entropy; CHANNELS AND CHANNEL CAPACITY; Discrete Memoryless Channels; Transition Probabilities and Binary Symmetric Channels; Input Frequencies; Channel Capacity; Proof of Theorem 3.4.3, on the Capacity Equations; CODING THEORY; Encoding and Decoding; Prefix-Condition Codes and the Kraft-McMillan Inequality; Average Code Word Length and Huffman's Algorithm; Optimizing the Input Frequencies; Error Correction, Maximum Likelihood Decoding, Nearest Code Word Decoding and Reliability; Shannon's Noisy Channel Theorem; Error Correction with Binary Symmetric Channels and Equal Source Frequencies; The Information Rate of a Code; ; Part II: Data Compression; LOSSLESS DATA COMPRESSION BY REPLACEMENT SCHEMES; Replacement via Encoding Scheme; Review of the Prefix Condition; Choosing an Encoding Scheme; The Noiseless Coding Theorem and Shannon's Bound; ARITHMETIC CODING; Pure Zeroth-Order Arithmetic Coding: dfwld; What's Good about dfwld Coding: The Compression Ratio; What's Bad about dfwld Coding and Some Ways to Fix It; Implementing Arithmetic Coding; Notes; HIGHER-ORDER MODELING; Higher-Order Huffman Encoding; The Shannon Bound for Higher-Order Encoding; Higher-Order Arithmetic Coding; Statistical Models, Statistics, and the Possibly Unknowable Truth; Probabilistic Finite State Source Automata; ADAPTIVE METHODS; Adaptive Huffman Encoding; Maintaining the Tree in Adaptive Huffman Encoding: The Method of Knuth and Gallager; Adaptive Arithmetic Coding; Interval and Recency Rank Encoding; DICTIONARY METHODS; LZ77 (Sliding Window) Schemes; The LZ78 Approach; Notes; TRANSFORM METHODS AND IMAGE COMPRESSION; Transforms; Periodic Signals and the Fourier Transform; The Cosine and Sine Transforms; Two-Dimensional Transforms; An Application: JPEG Image Compression; A Brief Introduction to Wavelets; Notes; APPENDICES; JPEGtool User's Guide; Source Listing for LZRW1-A; Resources, Patents, And Illusions; Notes on and Solutions to Some Exercises; Bibliography; INDEX … (more)
- Edition:
- 2nd ed
- Publisher Details:
- Boca Raton, Fla : Chapman & Hall/CRC Press
- Publication Date:
- 2003
- Copyright Date:
- 2003
- Extent:
- 1 online resource (xi, 366 pages), illustrations
- Subjects:
- 005.74/6
Information theory
Data compression (Computer science)
COMPUTERS -- Desktop Applications -- Databases
COMPUTERS -- Database Management -- General
COMPUTERS -- System Administration -- Storage & Retrieval
Data compression (Computer science)
Information theory
Electronic books - Languages:
- English
- ISBNs:
- 9780203998090
9781420035278
1420035274 - Related ISBNs:
- 020399809X
9781584883135
1584883138 - Notes:
- Note: Includes bibliographical references (pages 357-360) and index.
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.153909
- Ingest File:
- 01_019.xml