Digital Signal Processing; An Interactive Approach

Subtitle
2nd Edition

This book provides a description of digital signal processing (DSP) algorithms along with a coverage of compelling modern applications including cellular telephones and MP3 players. Topics covered include filter design, FFT, random signals, adaptive filters and speech/audio processing. The mathematical underpinnings of DSP are accompanied by qualitative descriptions, solved problems, interactive computer simulations and Java graphics. The presentation of signal processing concepts is enhanced with object-oriented programming examples supported by the universally accessible Java-DSP (J-DSP) and its mobile versions. The second edition has several new topics including 2D image filtering, recent speech and audio processing algorithms and new applications. This new edition has a support website with code and video clips for J-DSP, iOS, Android and MATLAB. More than 100 new exercises added. The book can be used in an undergraduate or graduate DSP course.

Bio

Andreas Spanias is director of the Sensor Signal and Information Processing center and the founder of the SenSIP industry consortium. His research interests are in the areas of adaptive signal processing, speech processing, machine learning and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award-winning iPhone/iPad and Android versions.


Digital Signal Processing: An Interactive Approach
Date published
Publisher
LuLu Press
ISBN
978-1-4675-9892-7

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