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Digital Signal Processing Lecture Notes by Dr K Srihari Rao
This note explains the following topics: DT Fourier Transform, Sampling, Time and Frequency Domain Analysis, Aliasing, The Nyquist Theorem, CT Signal Reconstruction, The Discrete Fourier Transform, Applications of the DFT, The z-Transform, DT Systems and the ZT, Analog Filter Design,IIR Filters and FIR Filters.
Author(s): Dr K Srihari Rao
107 Pages 
Introduction to Digital Signal Processing Notes
This note explains the following topics: Discrete-time signals and systems , Periodic Sampling of Continuous-time Signals , Transform analysis of L.T.I. systems , Structure for discrete-time systems, Filter Design Techniques , Discrete Fourier transform , Fourier Analysis of Signals Using DFT.
Author(s): Seoul National University
241 Pages
Digital Signal Processing Notes by Prof Mark Fowler
This note covers the following topics: DT Signals and Systems, Z Transform, Using ZT to Analyze DT LTI Systems , DTFT, Sampling Theory, MATLAB, DFT Processing, Filter Design.
Author(s): Prof. Mark Fowler
NA Pages
Digital Signal Processing Lecture Notes Prof. Dan Cobb
This note explains the following topics: DT Fourier Transform, Sampling, CT Signal Reconstruction, The Discrete Fourier Transform, Applications of the DFT, DT Systems and the ZT, Analog Filter Design, IIR Filters, FIR Filters.
Author(s): Prof. Dan Cobb
107 Pages
Digital Signal Processing by Dr Markus Kuhn
This note teaches the basic signal-processing principles necessary to understand many modern high-tech systems, with a particular view on audio-visual data compression techniques. Topics covered includes: Signals and systems, Phasors, Fourier transform, Discrete sequences and spectra, Discrete Fourier transform, Spectral estimation, Finite and infinite impulse-response filters, Random sequences and noise, Correlation coding, Lossy versus lossless compression, Quantization, image and audio coding standards.
Author(s): Dr Markus Kuhn
NA Pages
Digital Signal Processing Lecture notes
This note begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. It proceeds to cover digital network and nonrecursive digital filters.
Author(s): Prof. Alan V. Oppenheim
NA Pages
This note covers the following topics: Processor Applications, Processor Markets, The Processor Design Space, Requirements of Embedded Processors, Evolution of GPPs and DSPs, Types Of DSP Processors , DSP Applications, DSP Algorithm Format , DSP Memory, DSP Addressing.
Author(s): Dr. Muhammad Shaaban
95 Pages
Introduction to Digital Audio Signal Processing
The lectures note present fundamental elements of digital audio signal processing, such as sinusoids, spectra, the Discrete Fourier Transform (DFT), digital filters, z transforms, transfer-function analysis, and basic Fourier analysis in the discrete-time case.
Author(s): Department of Music, Stanford University
NA Pages
Spectral Audio Signal Processing
The focus of this book is on spectral modeling applied to audio signals. More completely, the principal tasks are spectral analysis, modeling, and resynthesis (and/or effects). It mainly covers the following topics: Fourier Transforms and Theorems, Spectrum Analysis Windows, FIR Digital Filter Design, Spectrum Analysis of Sinusoids, Spectrum Analysis of Noise, Overlap-Add STFT Processing, Filter Bank View of the STFT, Applications of the STFT, Multirate Filter Banks and Continuous Fourier Theorems.
Author(s): Julius O. Smith III
NA PagesAdvertisement
