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 introduces the basic aspects of applied mathematics. It also focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases. Spectral representation and frequency of the data are also discussed in the book. It also describes wavelets and multi-scale structure of data-sets. The concepts are illustrated with examples and each chapter contains solved and unsolved questions. The book is useful for graduate and undergraduate students of electronic engineering and computer science.

“Time Variable PDF Presented by Neural Network for Data Compression” Book Review: This book includes various important topics such as Huffman coding, Probability Density Function (PDF). The book describes how to fit a function on a probability density curve representing an information stream using artificial Neural Network (NN). The resulting function is then used for information compression by Huffman algorithm. The basis of neural network with some examples is discussed and transfer function using NN is described. The book then discusses two different algorithms for information encoding and decoding using time variable estimation of probability density function. This book is useful for electronic engineers, computer engineers, computer scientists and industry professionals.

“Response Data Compression Techniques in Digital Circuit Testing” Book Review: This book includes the study and evaluations of the effectiveness of various RDC techniques while applied individually. The book also focuses on the digital logic circuits that are essential parts of various devices such as transportation, human implants and critical systems’ management. The book talks about the implementation of the concept of FT and how it is essential to test the system accurately to measure all the critical parameters of a dependable system. The book also discusses various Data Compression Techniques such as One’s Count, Transition Count, Syndrome Testing, Walsh Spectra Coefficients, Signature Analysis, etc. The book is useful for graduate and undergraduate students as well as teachers in computer science.

“Data Compression – Exploring New Techniques” Book Review: This book analyzes the existing algorithms for data compression so that some features of these algorithms can be utilized to build a more efficient algorithm. A detailed study to observe the efficiency of the algorithms for different document types with the intention of building a comprehensive data compression technique is also included in the book. It studies and analyzes all the algorithms separately to incorporate the positives from each of them and then tries to rectify the flaws that exist in these algorithms. This book is useful for electronic engineers, computer engineers, computer scientists and industry professionals.