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Signal processing
N 17%
Field of electrical engineering
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Facets 1
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Nyquist–Shannon sampling theorem
Sufficiency theorem for reconstructing signals from samples
Subclasses 3
Influencing rating
N 17%
Video processing
a particular case of image processing, where the input and output signals are video files or video stream
Anti-aliasing filter
Mathematical transformation reducing the damage caused by aliasing
Digital signal processing
Mathematical signal manipulation by computers
Subject of 3
Hierarchical Bayesian model updating for structural identification
scholarly article by Iman Behmanesh et al published December 2015 in Mechanical Systems and Signal Processing
Introduction to the issue on Adaptive Sparse Representation of Data and Applications in Signal and Image Processing
scholarly article by Jean-Luc Starck et al published September 2011 in IEEE Journal on Selected Topics in Signal Processing
Enhancing Audio Classification Through MFCC Feature Extraction and Data Augmentation with CNN and RNN Models
scientific article published on 31 July 2024
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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. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted...

Instance of
type of process
Academic discipline
Subclass of
Technology
Process (science)
Facet of
Electrical engineering
References
Wikidata