This book covers random signals and random processes along with
estimation of probability density function, estimation of energy
spectral density and power spectral density. The properties of
random processes and signal modelling are discussed with basic
communication theory estimation and detection. MATLAB simulations
are included for each concept with output of the program with 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.
Key Features: * Aimed at random signal processing with parametric
signal processing-using appropriate segment size. * Covers speech,
image, medical images, EEG and ECG signal processing. * Reviews
optimal detection and estimation. * Discusses parametric modeling
and signal processing in transform domain. * Includes MATLAB codes
and relevant exercises, case studies and solved examples including
multiple choice questions
General
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