Digital and Statistical Signal Processing / by Anastasia Veloni, Nikolaos Miridakis and Erysso Boukouvala.
By: Veloni, Anastasia [author.].
Contributor(s): Miridakis, Nikolaos [author.] | Boukouvala, Erysso [author.] | Taylor and Francis.
Material type:![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
Includes bibliographical references and index.
Part 1: Digital Signal Processing--. Introduction. Discrete-time Signals and Systems. z-Transform. Implementation of Discrete Systems. Frequency Domain Analysis. Designing Digital Filters. --Part 2: Statistical Signal Processing--. Statistical Models. Fundamental Principles of Parametric Estimation. Linear Evaluation. Fundamentals of Signal Detection.
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently.
Also available in print format.
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