Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Foundations and Trends in Communications and Information Theory) - Image 1

Out of stock

This item is currently unavailable

Now Publishers Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Foundations and Trends in Communications and Information Theory)

Name: Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Foundations and Trends in Communications and Information Theory)
Brand: Now Publishers

Architecture & Microprocessors

Gone for 159 days. Could come back at any time — we're watching for you.

Out of stock 159 days · last price £83 · longest previous gap was 1 days

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 710 days · 710 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 710 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £80 (207 days, 29.2%)

Price range: £77 - £83

Price levels: 6 different prices over 710 days

Description

The term analytic information theory has been coined to describe problems of information theory studied by analytic tools. The approach of applying tools from analysis of algorithms to problems of source coding and, in general, to information theory lies at the crossroad of computer science and information theory. Combining the tools from both areas often provides powerful results, such as computer scientist Abraham Lempel and information theorist Jacob Ziv working together in the late 1970s to develop compression algorithms that are now widely referred to as Lempel-Ziv algorithms and are the basis of the ZIP compression still used extensively in computing today.This monograph surveys the use of these techniques for the rigorous analysis of code redundancy for known sources in lossless data compression. A separate chapter is devoted to precise analyses of each of three types of lossless data compression schemes, namely fixed-to-variable length codes, variable-to-fixed length codes, and variable-to-variable length codes. Each one of these schemes is described in detail, building upon work done in the latter part of the 20th century to present new and powerful techniques. For the first time, this survey presents redundancy for universal variable-to-fixed and variable-to-variable length codes in a comprehensive and coherent manner.The monograph will be of interest to computer scientists and information theorists working on modern coding techniques. Written by two leading experts, it provides the reader with a unique, succinct starting point for their own research into the area.

Product Specifications

Brand: Now Publishers
Format: paperback
ASIN: 1680832840
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 23 May 2017
Listed Since: 30 May 2017

Barcode

No barcode data available

Now Publishers Redundancy of Lossless Data Compression for Known Sources by Analytic Methods (Foundations and Trends in Communications and Information Theory)

Gone for 159 days. Could come back at any time — we're watching for you.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Vector Quantization and Signal Compression: 159 (The Springer International Series in Engineering and Computer Science, 159)

Information and Coding Theory in Computer Science

Turbo-Codes: From Channel Coding to Video Compression (Computer Science, Technology and Applications)

Multimedia Signal Coding and Transmission (Signals and Communication Technology)

Universal Compression and Retrieval: 274 (Mathematics and Its Applications, 274)

Coding Theory: Algorithms, Architectures and Applications

Springer Error Detecting Codes - Engineering & Computer Science

Error-Correction Coding and Decoding: Bounds, Codes, Decoders, Analysis and Applications

Code Design for Dependable Systems: Theory and Practical Applications

Fundamentals of Information Theory and Coding Design (Discrete Mathematics and Its Applications)

Universal Coding and Order Identification by Model Selection Methods (Springer Monographs in Mathematics)

Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)

Codes Et Turbocodes (Collection Iris)

Universal Coding and Order Identification by Model Selection Methods (Springer Monographs in Mathematics)

Fundamentals of Index Coding (Foundations and Trends (R) in Communications and Information Theory)

Fundamentals in Information Theory and Coding

Advanced Error Control Techniques for Data Storage Systems

Advances in Visual Data Compression and Communication: Meeting the Requirements of New Applications (Multimedia Computing, Communication and Intelligence)

Group Testing: An Information Theory Perspective (Foundations and Trends® in Communications and Information Theory)

Error-Correcting Linear Codes: Classification by Isometry and Applications: 18 (Algorithms and Computation in Mathematics, 18)

Coding for Data and Computer Communications

Physical and Data-Link Security Techniques for Future Communication Systems: 358 (Lecture Notes in Electrical Engineering, 358)