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 processing Random signals Representing signals and
systems Temporal and spatial signal processing Frequency analysis of
signals Discrete-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.
