Idioma: Inglés
Publicado por Pearson Education (US), Upper Saddle River, 2018
ISBN 10: 013487840X ISBN 13: 9780134878409
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Añadir al carritoPaperback. Condición: new. Paperback. In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kays three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have stood the test of time, offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB code and verifying solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoKartoniert / Broschiert. Condición: New. KlappentextrnrnIn Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithm.
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Idioma: Inglés
Publicado por Pearson Verlag Nov 2017, 2017
ISBN 10: 013487840X ISBN 13: 9780134878409
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EUR 181,89
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kay's three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.
Idioma: Inglés
Publicado por Pearson Education (US), Upper Saddle River, 2018
ISBN 10: 013487840X ISBN 13: 9780134878409
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 253,79
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Añadir al carritoPaperback. Condición: new. Paperback. In Fundamentals of Statistical Signal Processing, Volume III: Practical Algorithm Development, author Steven M. Kay shows how to convert theories of statistical signal processing estimation and detection into software algorithms that can be implemented on digital computers. This final volume of Kays three-volume guide builds on the comprehensive theoretical coverage in the first two volumes. Here, Kay helps readers develop strong intuition and expertise in designing well-performing algorithms that solve real-world problems.Kay begins by reviewing methodologies for developing signal processing algorithms, including mathematical modeling, computer simulation, and performance evaluation. He links concepts to practice by presenting useful analytical results and implementations for design, evaluation, and testing. Next, he highlights specific algorithms that have stood the test of time, offers realistic examples from several key application areas, and introduces useful extensions. Finally, he guides readers through translating mathematical algorithms into MATLAB code and verifying solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoPaperback. Condición: Brand New. 504 pages. 9.10x6.90x1.10 inches. In Stock.