Random Signal Processing

Random Signal Processing covers random signals and random processes along with the estimation of probability density function, energy spectral density, and power spectral density. The properties of random processes and signal modeling are discussed with basic communication theory estimation and detection. MATLAB simulations are included for each concept with output of the program, case studies, and project ideas. The chapters progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing.

The book is designed to cater to a wide audience, starting from the undergraduates (electronics, electrical, instrumentation, computer, and telecommunication engineering) to the researchers working in the pertinent fields. MATLAB is used to solve numerous examples in the book.

Features:

• Aimed at random signal processing with parametric signal processing—using appropriate segment size

• Covers speech, image, medical images, as well as EEG and ECG signal processing

• Reviews optimal detection and estimation

• Discusses parametric modeling and signal processing in transform domain

• Includes MATLAB codes, relevant exercises, case studies, and solved examples, including multiple choice questions