Best Books on Data Compression

“Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications (Mathematics Textbooks for Science and Engineering)” Book Review: This book provides an introduction to applied mathematics, covering both fundamental concepts and modern topics. It explores various aspects of information data, including manipulation, coding, approximation, and reduction of dimensionality. The book also delves into important topics such as data compression, time-frequency analysis, and spectral representation. It explains wavelets and the multi-scale structure of data-sets. Throughout the book, concepts are illustrated with examples, and each chapter includes both solved and unsolved questions for practice. It is a valuable resource for graduate and undergraduate students studying electronic engineering and computer science.

“Time Variable PDF Presented by Neural Network for Data Compression” Book Review: This book covers several important topics, including Huffman coding and Probability Density Function (PDF). It explains how to use artificial Neural Network (NN) to fit a function on a probability density curve that represents an information stream. This fitted function is then used for information compression using the Huffman algorithm. The book also introduces the basics of neural networks with examples and describes the transfer function using NN. It further explores two algorithms for information encoding and decoding based on estimating the time variable of the probability density function. This book is beneficial for electronic engineers, computer engineers, computer scientists, and industry professionals.

“Response Data Compression Techniques in Digital Circuit Testing” Book Review: This book explores the study and evaluations of different RDC (Redundancy and Dependability Checking) techniques when applied individually. It specifically focuses on digital logic circuits found in various devices like transportation systems, human implants, and critical systems management. The book emphasizes the importance of implementing fault tolerance (FT) concepts and accurately testing systems to measure critical parameters for ensuring system reliability. Additionally, it discusses various Data Compression Techniques such as One’s Count, Transition Count, Syndrome Testing, Walsh Spectra Coefficients, and Signature Analysis. It is a valuable resource for graduate and undergraduate students, as well as computer science teachers.

“Data Compression – Exploring New Techniques” Book Review: This book examines and analyzes various data compression algorithms to identify their strengths and weaknesses. The goal is to utilize the best features from each algorithm and address any limitations to develop a more efficient and comprehensive data compression technique. The book includes a detailed study to evaluate the effectiveness of these algorithms for different types of documents. By combining the positives and addressing the flaws, the book aims to create an improved data compression approach. It is a valuable resource for electronic engineers, computer engineers, computer scientists, and industry professionals.