Quickly Engages in Applying Algorithmic Techniques to Solve
Practical Signal Processing Problems
With 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(R) 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 filters
Each 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.
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