Signal processing - Wikipedia
Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurements. [1]
Digital signal processing: Processing of signals by digital means (software and/or hardware) Includes: • Conversion from the analog to the digital domain and back (physical signals are analog) • Mathematical specification of the processing operations ⇒ Algorithm: method or set of rules for implementing the system
Advanced Signal Processing: A Concise Guide - amazon.com
Sep 3, 2020 · It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays.
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Advanced Signal Processing - SpringerLink
This chapter is intended to provide an introduction to some topics in signal processing that are finding wide application. These are optimal (and adaptive) filtering using least squares criteria, deconvolution (including cepstral analysis), non-stationary signals...
Advanced Digital Signal Processing - 525.721 | Hopkins EP
Take JHU EP’s online Advanced Digital Signal Processing course to progress towards a graduate degree in Electrical and Computer Engineering. Learn more.
Advanced Signal Processing – Notes and Study Guides - Fiveable
Advanced Signal Processing digs into complex signal analysis techniques and their applications. You'll tackle Fourier and wavelet transforms, adaptive filtering, spectral estimation, and statistical signal processing.
EE6401 - Advanced Digital Signal Processing - GitHub
EE6401 - Advanced Digital Signal Processing Learning Objective: The purpose of this course is to provide in-depth treatment on methods and techniques in discrete-time signal transforms, digital filter design, optimal filtering, power spectrum estimation, multi-rate digital signal processing, DSP architectures, which are of importance in the ...
Advanced Signal Processing Lecture Notes
Monte Carlo Signal Processing and Particle Filtering. Multi-Resolution Signal Processing and Wavelets. Expectation-Maximization, Hidden Markov Models and Belief Propagation. Compressive Sensing
Advanced Signal Processing: Algorithms, Architectures, and
Oct 28, 1994 · This paper describes research into a high speed image processing system using parallel digital signal processors for the processing of electro-optic images. The objective of the system is to reduce the processing time of non-contact type inspection problems including industrial and medical applications.
Advanced Digital Signal Processing and Noise Reduction
Feb 6, 2008 · Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems. Examples and applications in signal and information extraction from noisy data