Mathematics and Digital Signal Processing

• Other Authors: Lyakhov, Pavel (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Information technology industries; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.