Description

Digital Signal processing is everywhere, it is pervasive and ubiquitous. Its methodologies are evolving and spreading its wings into many exciting new directions such as networking, bioinformatics, digital security and forensics, and spoken language. As a technology, it is a ”phantom technology” which is working from behind the scenes to make most of modern day devices work. Designed for both undergraduate and post graduate courses, this book provides a comprehensive insight into the linear algebra and optimization view of signal processing that can be readily extended to advanced image processing, wavelet theory and compressive sensing. This book shows how the entire class of problems in signal and image processing can be put in a linear algebra and optimization framework.


Key Features:-

  • Only prerequisite is first year undergraduate mathematics.
  • Very simple exposition to latest developments in Variational signal and image processing.
  • An introduction to level set theory and the latest convex formulation is presented.
  • Introduction to compressed sensing, sparse signal processing and its associated mathematics.
  • Applications in speech and character segmentation.
  • All the illustration in the book along with the Matlab codes and Excel exercises

More Details about Digital Signal And Image Processing : The Sparse Way

General Information  
Author(s)R Ramanathan and K P Soman
PublisherElsevier Science
Edition1
ISBN9789381269497
Pages480
BindingPaperback
LanguageEnglish
Publish YearJanuary 2012