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Record Nr. |
UNINA9910792120803321 |
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Autore |
Anand R. |
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Titolo |
Digital Signal Processing : An Introduction / / R. Anand |
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Pubbl/distr/stampa |
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Dulles, Virginia : , : Mercury Learning and Information, , [2022] |
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©2022 |
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ISBN |
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1-68392-801-6 |
1-68392-800-8 |
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Descrizione fisica |
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1 online resource (xii, 651 pages) : illustrations |
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Disciplina |
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Soggetti |
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Signal processing - Digital techniques |
Technology & Engineering / Mechanical |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Digital Signal Processing (DSP) -- Chapter 2: Review of Discrete—Time Signals and Systems -- Chapter 3: The z-Transform -- Chapter 4: Frequency Analysis Using DTFT -- Chapter 5: Discrete Fourier Transforms (DFTs) -- Chapter 6: Fast Fourier Transform (FFT) Algorithms -- Chapter 7: Implementation of Discrete-Time Systems -- Chapter 8: Digital Filters -- Chapter 9: Design and Analysis of Infinite Impulse Response (IIR) Digital Filters -- Chapter 10: Design and Analysis of Finite Impulse Response (FIR) Digital Filters -- Chapter 11: Statistical Digital Signal Processing -- Chapter 12: Multirate Digital Signal Processing (MDSP) -- Chapter 13: Applications of Digital Signal Processing to Speech -- Chapter 14: Applications of Digital Signal Processing to Radar -- Glossary -- Index |
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Sommario/riassunto |
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Designed to cover the fundamental concepts of digital signal processing, the book introduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and more. DSP has been applied in most disciplines ranging from engineering to telecommunications, and from astronomy to medical imaging. This book focuses on the fundamentals of DSP, namely on the representation of signals by mathematical models and on the |
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processing of signals by discrete-time systems. FEATURES: Designed to cover the fundamental concepts of DSPIntroduces topics such as discrete-time signals, the z-transform, frequency analysis, discrete and fast Fourier transforms, digital filters, FIR, statistical DSP, applications, and moreFeatures a variety of exercises and a glossary |
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