Random Signal Processing
by Shaila Dinkar Apte /
2017 / English / PDF
13.5 MB Download
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.
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.
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:
Key Features:
• Aimed at random signal processing with parametric signal
processing-using appropriate segment size.
• Aimed at random signal processing with parametric signal
processing-using appropriate segment size.
• Covers speech, image, medical images, EEG and ECG signal
processing.
• Covers speech, image, medical images, EEG and ECG signal
processing.
• Reviews optimal detection and estimation.
• Reviews optimal detection and estimation.
• Discusses parametric modeling and signal processing in
transform domain.
• Discusses parametric modeling and signal processing in
transform domain.
• Includes MATLAB codes and relevant exercises, case studies and
solved examples including multiple choice questions
• Includes MATLAB codes and relevant exercises, case studies and
solved examples including multiple choice questions
