Digital and Statistical Signal Processing
Digital and Statistical Signal Processing by Anastasia Veloni, published by Taylor & Francis Group in 2020, is a comprehensive resource that delves into the applications of digital signal processing (DSP) within electrical and electronic engineering. This 576-page book introduces fundamental topics in DSP, combining theoretical concepts with analytical tables and practical applications using simulation tools. It aims to equip readers with the necessary knowledge to process information in the form of digital signals effectively.
Readers will find a wealth of solved problems related to digital and statistical signal processing, allowing for quick and efficient problem-solving based on mathematical formulas presented throughout the text. The book explains how DSP applications can be implemented in programming environments designed for real-time systems, such as biomedical signal analysis and medical image processing. By pairing theory with basic concepts and fostering practical problem-solving skills, this edition serves as a valuable tool for those interested in technology, engineering, and data science.
Official synopsis Publisher
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.
FEATURES
- Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing.
- Pairs theory with basic concepts and supporting analytical tables.
- Includes an extensive collection of solved problems throughout the text.
- Fosters the ability to solve practical problems on signal processing without focusing on extended theory.
- Covers the modeling process and addresses broader fundamental issues.
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