LEADER 04467nam  2200973z- 450 
001 9910557359803321
005 20231214132937.0
035   $a(CKB)5400000000042294
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76930
035   $a(EXLCZ)995400000000042294
100   $a20202201d2021      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMathematics and Digital Signal Processing
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 electronic resource (180 p.)
311   $a3-0365-1476-7 
311   $a3-0365-1475-9 
330   $aModern 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.
606   $aInformation technology industries$2bicssc
610   $adigital filter
610   $afinite field algebra
610   $aconversion device
610   $amodule
610   $amemory device
610   $aresidue
610   $afeedback regulation
610   $adigital signal analysis
610   $acontrol efficacy
610   $aresidue number system
610   $aredundant residue number system
610   $amodular division
610   $afraction
610   $aalgorithm
610   $amathematical models of digital signal processing
610   $adigital filtering
610   $amaximum correntropy
610   $aimpulsive noise
610   $asparse channel estimation
610   $adiscrete wavelet transform
610   $amedical imaging
610   $a3D image processing
610   $aquantization noise
610   $aharmonic wavelets
610   $aclassification
610   $akNN-algorithm
610   $adeep neural networks
610   $amachine learning
610   $aFourier transform
610   $ashort-time Fourier transform
610   $awavelet transform
610   $aspectrogram
610   $aconfusion matrix
610   $aROC curve
610   $a3D model
610   $aprosthetic design
610   $aorientation
610   $apositioning
610   $areconstruction
610   $aspeech enhancement
610   $aadaptive filter
610   $amicrophone array
610   $asub-band processing
610   $afilter bank
610   $aposture classification
610   $askeleton detection
610   $amotion capture
610   $aexercise classification
610   $avirtual rehabilitation
610   $awood defect
610   $aCNN
610   $aELM
610   $agenetic algorithm
610   $adetection
615  7$aInformation technology industries
700   $aLyakhov$b Pavel$4edt$01279788
702   $aLyakhov$b Pavel$4oth
906   $aBOOK
912   $a9910557359803321
996   $aMathematics and Digital Signal Processing$93025157
997   $aUNINA