£92.00

CRC Press Random Signal Processing - MATLAB Simulation Book

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£175.64 £83.64 £103.71 £123.78 £143.86 £163.93 £184.00 26 January 2026 04 February 2026 14 February 2026 23 February 2026 05 March 2026

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Description

Master the complexities of signal modeling with Random Signal Processing from CRC Press. This comprehensive textbook provides a clear path through the study of random signals and random processes. Readers gain a deep understanding of probability density function estimation, as well as the estimation of energy spectral density and power spectral density. The book bridges the gap between theory and practice by connecting the properties of random processes with essential communication theory, estimation, and detection methods. Each concept is supported by MATLAB simulations, providing program outputs that help clarify theoretical principles through practical application. Designed for students and professionals in computer science and signal processing, the chapters follow a progressive learning structure. By including case studies and project ideas, this book offers a practical framework for applying signal processing concepts to real-world scenarios. Whether you are studying basic communication theory or advanced signal modeling, this resource provides the tools needed to succeed in the field.

Key Features

Comprehensive coverage of random signals and random processes including probability density function estimation.

In-depth exploration of energy spectral density and power spectral density estimation techniques.

Integrated MATLAB simulations for every concept to provide practical programming experience and program outputs.

Practical learning tools featuring specific case studies and project ideas to apply theoretical knowledge.

Progressive chapter structure that builds foundational knowledge toward advanced signal processing applications.

Strong connection between random process properties and fundamental communication theory, estimation, and detection.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
01 September 2017
Listed Since
29 March 2017

Barcode

No barcode data available

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