Digital Signal Processing Using MATLAB for Students and Researchers
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Beschreibung
Quickly Engages in Applying Algorithmic Techniques to SolvePractical Signal Processing Problems
With its active, hands-on learning approach, this text enablesreaders to master the underlying principles of digital signalprocessing and its many applications in industries such as digitaltelevision, mobile and broadband communications, andmedical/scientific devices. Carefully developed MATLAB®examples throughout the text illustrate the mathematical conceptsand use of digital signal processing algorithms. Readers willdevelop a deeper understanding of how to apply the algorithms bymanipulating the codes in the examples to see their effect.Moreover, plenty of exercises help to put knowledge into practicesolving real-world signal processing challenges.
Following an introductory chapter, the text explores:
* Sampled signals and digital processing
* Random signals
* Representing signals and systems
* Temporal and spatial signal processing
* Frequency analysis of signals
* Discrete-time filters and recursive filters
Each chapter begins with chapter objectives and an introduction.A summary at the end of each chapter ensures that one has masteredall 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 topicsin greater depth.
Upon completion of this text, readers will understand how toapply key algorithmic techniques to address practical signalprocessing problems as well as develop their own signal processingalgorithms. Moreover, the text provides a solid foundation forevaluating and applying new digital processing signal techniques asthey are developed.
Autor*in
John Leis
Themen in »Digital Signal Processing Using MATLAB for Students and Researchers«
Electrical & Electronics Engineering Elektrotechnik u. Elektronik Signal Processing Signalverarbeitung
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"Intended for undergraduate or graduate students in engineering orrelated disciplines, this introductory volume examines key theoriesin signal processing and presents this information optimized foruse with MATLAB technical computing software." (Book News, 1October 2011)
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