Digital Signal Processing and Analysis
by Jeff Fessler
Publisher: University of Michigan 2004
Number of pages: 243
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations, properties, frequency content, and aliasing; 2. to teach students the concepts of linear time-invariant discrete-time systems, including representations, properties, convolution relationship, and analysis techniques based on Fourier and Z transforms; 3. to introduce the concepts of filter design.
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by G. Nikolic, M. Cakic, D. Cvetkovic (eds) - InTech
The book provides a review on recent advances in Fourier transforms as the most powerful analytical tool for applications in electronic and computer engineering, as well as spectral techniques with a wide range of nanotechnological applications.
by Fausto Pedro García Marquez - InTech
Digital filters are the most versatile, practical and effective methods for extracting the information necessary from the signal. This book presents the most advanced digital filters including different case studies and the most relevant literature.
by P. Vaidyanathan - Morgan and Claypool Publishers
Linear prediction theory has had a profound impact in the field of digital signal processing. This book focuses on the theory of vector linear prediction and line spectral processes. There are several examples and computer-based demonstrations.
by Paolo Prandoni, Martin Vetterli - EFPL Press
The book is less focused on the mathematics and more on the concepts, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems.