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...
Furkejuvvon:
| Materiálatiipa: | Online |
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| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Fáttát: | |
| Liŋkkat: | ONIX_20220111_9783036514765_762 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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| _version_ | 1869518352518479872 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76930 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-769302024-03-30T12:51:05Z Mathematics and Digital Signal Processing Lyakhov, Pavel 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2022-01-11T13:46:50Z 2022-01-11T13:46:50Z 2021 book ONIX_20220111_9783036514765_762 9783036514765 9783036514758 https://directory.doabooks.org/handle/20.500.12854/76930 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4521 https://mdpi.com/books/pdfview/book/4521 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1475-8 10.3390/books978-3-0365-1475-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036514765 9783036514758 180 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Mathematics and Digital Signal Processing |
| title | 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_short | Mathematics and Digital Signal Processing |
| title_sort | mathematics and digital signal processing |
| topic | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | 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 thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220111_9783036514765_762 |