04484nam 2200985z- 450 991055735980332120220111(CKB)5400000000042294(oapen)https://directory.doabooks.org/handle/20.500.12854/76930(oapen)doab76930(EXLCZ)99540000000004229420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMathematics and Digital Signal ProcessingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (180 p.)3-0365-1476-7 3-0365-1475-9 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.Information technology industriesbicssc3D image processing3D modeladaptive filteralgorithmclassificationCNNconfusion matrixcontrol efficacyconversion devicedeep neural networksdetectiondigital filterdigital filteringdigital signal analysisdiscrete wavelet transformELMexercise classificationfeedback regulationfilter bankfinite field algebraFourier transformfractiongenetic algorithmharmonic waveletsimpulsive noisekNN-algorithmmachine learningmathematical models of digital signal processingmaximum correntropymedical imagingmemory devicemicrophone arraymodular divisionmodulemotion captureorientationpositioningposture classificationprosthetic designquantization noisereconstructionredundant residue number systemresidueresidue number systemROC curveshort-time Fourier transformskeleton detectionsparse channel estimationspectrogramspeech enhancementsub-band processingvirtual rehabilitationwavelet transformwood defectInformation technology industriesLyakhov Paveledt1279788Lyakhov PavelothBOOK9910557359803321Mathematics and Digital Signal Processing3025157UNINA