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.
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This is an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and to the design of optimal receivers of communication, radar, sonar and optical signals.