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Paperback. Condition: Brand New. 2nd edition. 198 pages. 9.25x6.10x0.46 inches. In Stock.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In mathematics, the sinc function, denoted by sinc(x) and sometimes as Sa(x), has two definitions. In digital signal processing and information theory, the normalized sinc function is commonly defined by mathrm{sinc}(x) = frac{sin(pi x)}{pi x}.,! It is called normalized because its Fourier transform is the rectangular function and its square integral is unity. In mathematics, the historical unnormalized sinc function is defined by mathrm{sinc}(x) = frac{sin(x)}{x}.,! In both cases, the value of the function at the removable singularity at zero is sometimes specified explicitly as the limit value 1. The sinc function is analytic everywhere. The term 'sinc' is a contraction of the function's full Latin name, the sinus cardinalis (cardinal sine).
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnModern 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 proc.
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Buch. Condition: Neu. Mathematics and Digital Signal Processing | Buch | Gebunden | Englisch | 2021 | MDPI AG | EAN 9783036514765 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. Sinc Function | Mathematics, Digital Signal Processing, Information Theory, Removable Singularity, Analytic Function, Zero Crossing, Infinite Product | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131164569 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Condition: Neu. Digital Filter | Digital filter, Electronics, Computer science, Mathematics, Sampling (signal processing), Discrete time, Signal (electronics), Electronic filter, Passive analogue filter development | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130245825 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.