A timely effort to educate a diverse audience on the basic concepts of data compression. I recommend this marvelous book to anyone doing work related to data compression, however remote the connection may be. Besides being informative, it is highly enjoyable. - IEEE Spectrum, September 1997

• 1 Overview.- 1.1 Representation of Information.- 1.2 Data Compression — What Is It and Why Is It Needed.- 1.3 Historical Origins of Data Compression.- 1.4 Marketplace Trends Relating to Data Compression.- 1.5 Data Compression Algorithms.- 1.6 Applications for Data Compression.- 1.7 Integrating Data Compression in Digital Systems.- 1.8 Summary.- I — Marketplace.- 2 Data Compression in the Marketplace.- 3 Marketplace Factors.- II — Algorithms.- 4 Compression Algorithms for Symbolic Data.- 5 Compression Algorithms for Diffuse Data.- III — Applications.- 6 Computer Applications.- 7 Communications — Network Applications.- 8 Communications — Broadcasting Applications.- 9 Consumer-Electronics Applications.- 10 Publishing Applications.- 11 Entertainment Applications.- 12 Healthcare Applications.- IV — Digital Systems.- 13 Digital System Design.- 14 Managing Compressed Data.- 15 A Window On The Future.- Acronyms and Abbreviations.- References.

A timely effort to educate a diverse audience on the basic concepts of data compression. I recommend this marvelous book to anyone doing work related to data compression, however remote the connection may be. Besides being informative, it is highly enjoyable. - IEEE Spectrum, September 1997

• 1 Overview.- 1.1 Representation of Information.- 1.2 Data Compression — What Is It and Why Is It Needed.- 1.3 Historical Origins of Data Compression.- 1.4 Marketplace Trends Relating to Data Compression.- 1.5 Data Compression Algorithms.- 1.6 Applications for Data Compression.- 1.7 Integrating Data Compression in Digital Systems.- 1.8 Summary.- I — Marketplace.- 2 Data Compression in the Marketplace.- 3 Marketplace Factors.- II — Algorithms.- 4 Compression Algorithms for Symbolic Data.- 5 Compression Algorithms for Diffuse Data.- III — Applications.- 6 Computer Applications.- 7 Communications — Network Applications.- 8 Communications — Broadcasting Applications.- 9 Consumer-Electronics Applications.- 10 Publishing Applications.- 11 Entertainment Applications.- 12 Healthcare Applications.- IV — Digital Systems.- 13 Digital System Design.- 14 Managing Compressed Data.- 15 A Window On The Future.- Acronyms and Abbreviations.- References.

A timely effort to educate a diverse audience on the basic concepts of data compression. I recommend this marvelous book to anyone doing work related to data compression, however remote the connection may be. Besides being informative, it is highly enjoyable. - IEEE Spectrum, September 1997

• 1 Overview.- 1.1 Representation of Information.- 1.2 Data Compression — What Is It and Why Is It Needed.- 1.3 Historical Origins of Data Compression.- 1.4 Marketplace Trends Relating to Data Compression.- 1.5 Data Compression Algorithms.- 1.6 Applications for Data Compression.- 1.7 Integrating Data Compression in Digital Systems.- 1.8 Summary.- I — Marketplace.- 2 Data Compression in the Marketplace.- 3 Marketplace Factors.- II — Algorithms.- 4 Compression Algorithms for Symbolic Data.- 5 Compression Algorithms for Diffuse Data.- III — Applications.- 6 Computer Applications.- 7 Communications — Network Applications.- 8 Communications — Broadcasting Applications.- 9 Consumer-Electronics Applications.- 10 Publishing Applications.- 11 Entertainment Applications.- 12 Healthcare Applications.- IV — Digital Systems.- 13 Digital System Design.- 14 Managing Compressed Data.- 15 A Window On The Future.- Acronyms and Abbreviations.- References.