Summary and Info
Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing ProblemsWith its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges.Following an introductory chapter, the text explores:Sampled signals and digital processingRandom signalsRepresenting signals and systemsTemporal and spatial signal processingFrequency analysis of signalsDiscrete-time filters and recursive filtersEach chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth.Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
More About the Author
John William Heisman (October 23, 1869 – October 3, 1936) was a player and coach of American football, basketball, and baseball, as well as a sportswriter and actor.
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