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 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.