Mathematics and Digital Signal Processing

Modern computer technology has opened up new opportunities for the development of digital signal processing methods. The applications of digital signal processing have expanded significantly and today include audio and speech processing, sonar, radar, and other sensor array processing, spectral dens...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (180 p.)
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spelling Lyakhov, Pavel edt
Mathematics and Digital Signal Processing
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (180 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Modern computer technology has opened up new opportunities for the development of digital signal processing methods. The applications of digital signal processing have expanded significantly and today include audio and speech processing, sonar, radar, and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, and seismology, among others. This Special Issue is aimed at wide coverage of the problems of digital signal processing, from mathematical modeling to the implementation of problem-oriented systems. The basis of digital signal processing is digital filtering. Wavelet analysis implements multiscale signal processing and is used to solve applied problems of de-noising and compression. Processing of visual information, including image and video processing and pattern recognition, is actively used in robotic systems and industrial processes control today. Improving digital signal processing circuits and developing new signal processing systems can improve the technical characteristics of many digital devices. The development of new methods of artificial intelligence, including artificial neural networks and brain-computer interfaces, opens up new prospects for the creation of smart technology. This Special Issue contains the latest technological developments in mathematics and digital signal processing. The stated results are of interest to researchers in the field of applied mathematics and developers of modern digital signal processing systems.
English
Information technology industries bicssc
digital filter
finite field algebra
conversion device
module
memory device
residue
feedback regulation
digital signal analysis
control efficacy
residue number system
redundant residue number system
modular division
fraction
algorithm
mathematical models of digital signal processing
digital filtering
maximum correntropy
impulsive noise
sparse channel estimation
discrete wavelet transform
medical imaging
3D image processing
quantization noise
harmonic wavelets
classification
kNN-algorithm
deep neural networks
machine learning
Fourier transform
short-time Fourier transform
wavelet transform
spectrogram
confusion matrix
ROC curve
3D model
prosthetic design
orientation
positioning
reconstruction
speech enhancement
adaptive filter
microphone array
sub-band processing
filter bank
posture classification
skeleton detection
motion capture
exercise classification
virtual rehabilitation
wood defect
CNN
ELM
genetic algorithm
detection
3-0365-1476-7
3-0365-1475-9
Lyakhov, Pavel oth
language English
format eBook
author2 Lyakhov, Pavel
author_facet Lyakhov, Pavel
author2_variant p l pl
author2_role Sonstige
title Mathematics and Digital Signal Processing
spellingShingle Mathematics and Digital Signal Processing
title_full Mathematics and Digital Signal Processing
title_fullStr Mathematics and Digital Signal Processing
title_full_unstemmed Mathematics and Digital Signal Processing
title_auth Mathematics and Digital Signal Processing
title_new Mathematics and Digital Signal Processing
title_sort mathematics and digital signal processing
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (180 p.)
isbn 3-0365-1476-7
3-0365-1475-9
illustrated Not Illustrated
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