TY  - GEN
AU  - Lyakhov,Pavel
AU  - Lyakhov,Pavel
TI  - Mathematics and Digital Signal Processing
SN  - books978-3-0365-1475-8
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Information technology industries
KW  - bicssc
KW  - digital filter
KW  - finite field algebra
KW  - conversion device
KW  - module
KW  - memory device
KW  - residue
KW  - feedback regulation
KW  - digital signal analysis
KW  - control efficacy
KW  - residue number system
KW  - redundant residue number system
KW  - modular division
KW  - fraction
KW  - algorithm
KW  - mathematical models of digital signal processing
KW  - digital filtering
KW  - maximum correntropy
KW  - impulsive noise
KW  - sparse channel estimation
KW  - discrete wavelet transform
KW  - medical imaging
KW  - 3D image processing
KW  - quantization noise
KW  - harmonic wavelets
KW  - classification
KW  - kNN-algorithm
KW  - deep neural networks
KW  - machine learning
KW  - Fourier transform
KW  - short-time Fourier transform
KW  - wavelet transform
KW  - spectrogram
KW  - confusion matrix
KW  - ROC curve
KW  - 3D model
KW  - prosthetic design
KW  - orientation
KW  - positioning
KW  - reconstruction
KW  - speech enhancement
KW  - adaptive filter
KW  - microphone array
KW  - sub-band processing
KW  - filter bank
KW  - posture classification
KW  - skeleton detection
KW  - motion capture
KW  - exercise classification
KW  - virtual rehabilitation
KW  - wood defect
KW  - CNN
KW  - ELM
KW  - genetic algorithm
KW  - detection
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/4521
UR  - https://directory.doabooks.org/handle/20.500.12854/76930
ER  -