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.
This note explains the following topics:digital signal
processing, Realization of digital filters, Discrete fourier transforms, Fast fourier
transforms, IIR digital filters, FIR digital filters and multirate digital signal
processing.
Author(s): Mr R Radhakrishnan, St Annes
College of Engineering and Technology
This lecture note covers discrete fourier transform and fast
fourier transform, Finite impulse response digital filters, Finite word length
effects, Multirate signal processing, and realtime digital signal processing.
Author(s): Sathyabama Institute of Science
and Technology
This note covers the following topics: Digital processing of
continuous-time signals, DFT and FFT, Digital filters, Multirate digital signal
processing, Spectral estimation.
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.
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.
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.
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.
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.