{"product_id":"digital-signal-processing-9780470017692","title":"Digital Signal Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eDigital signal processing is essential for improving the accuracy and reliability of a range of engineering systems, including communications, networking, and audio and video applications. Using a combination of programming and mathematical techniques, it clarifies, or standardizes the levels or states of a signal, in order to meet the demands of designing high performance digital hardware.  \u003cp\u003eWritten by authors with a wealth of practical experience working with digital signal processing, this text is an excellent step-by-step guide for practitioners and researchers needing to understand and quickly implement the technology. Split into six, self-contained chapters, \u003ci\u003eDigital Signal Processing: A Practitioner's Approach\u003c\/i\u003e covers:\u003c\/p\u003e \u003cul\u003e \u003cli\u003ebasic principles of signal processing such as linearity, stability, convolution, time and frequency domains, and noise;\u003c\/li\u003e \u003cli\u003edescriptions of digital filters and their realization, including fixed point implementation, pipelining, and field \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eForeword.  \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003eAcknowledgements.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. Processing of Signals.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Organisation of the Book.\u003c\/p\u003e \u003cp\u003e1.2 Classification of Signals.\u003c\/p\u003e \u003cp\u003e1.3 Transformations.\u003c\/p\u003e \u003cp\u003e1.4 Signal Characterisation.\u003c\/p\u003e \u003cp\u003e1.5 Converting Analogue Signals to Digital.\u003c\/p\u003e \u003cp\u003e1.6 Signal Seen by the Computing Engine.\u003c\/p\u003e \u003cp\u003e1.7 It Is Only Numbers.\u003c\/p\u003e \u003cp\u003e1.8 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Revisiting the Basics.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Linearity.\u003c\/p\u003e \u003cp\u003e2.2 Linear System Representation.\u003c\/p\u003e \u003cp\u003e2.3 Random Variables.\u003c\/p\u003e \u003cp\u003e2.4 Noise.\u003c\/p\u003e \u003cp\u003e2.5 Propagation of Noise in Linear Systems.\u003c\/p\u003e \u003cp\u003e2.6 Multivariate Functions.\u003c\/p\u003e \u003cp\u003e2.7 Number Systems.\u003c\/p\u003e \u003cp\u003e2.8 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Digital Filters.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 How to Specify a Filter.\u003c\/p\u003e \u003cp\u003e3.2 Moving-Average Filters.\u003c\/p\u003e \u003cp\u003e3.3 Infinite Sequence Generation.\u003c\/p\u003e \u003cp\u003e3.4 Unity-Gain Narrowband Filter.\u003c\/p\u003e \u003cp\u003e3.5 All-Pass Filter.\u003c\/p\u003e \u003cp\u003e3.6 Notch Filter.\u003c\/p\u003e \u003cp\u003e3.7 Other Autoregressive Filters.\u003c\/p\u003e \u003cp\u003e3.8 Adaptive Filters.\u003c\/p\u003e \u003cp\u003e3.9 Demodulating via Adaptive Filters.\u003c\/p\u003e \u003cp\u003e3.10 Phase Shift via Adaptive Filter.\u003c\/p\u003e \u003cp\u003e3.11 Inverse Problems.\u003c\/p\u003e \u003cp\u003e3.12 Kalman Filter.\u003c\/p\u003e \u003cp\u003e3.13 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Fourier Transform and Signal Spectrum.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Heterodyne Spectrum Analyser.\u003c\/p\u003e \u003cp\u003e4.2 Discrete Fourier Transform.\u003c\/p\u003e \u003cp\u003e4.3 Decimating the Given Sequence.\u003c\/p\u003e \u003cp\u003e4.4 Fast Fourier Transform.\u003c\/p\u003e \u003cp\u003e4.5 Fourier Series Coefficients.\u003c\/p\u003e \u003cp\u003e4.6 Convolution by DFT.\u003c\/p\u003e \u003cp\u003e4.7 DFT in Real Time.\u003c\/p\u003e \u003cp\u003e4.8 Frequency Estimation via DFT.\u003c\/p\u003e \u003cp\u003e4.9 Parametric Spectrum in RF Systems.\u003c\/p\u003e \u003cp\u003e4.10 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Realisation of Digital Filters.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Evolution.\u003c\/p\u003e \u003cp\u003e5.2 Development Process.\u003c\/p\u003e \u003cp\u003e5.3 Analogue-to-Digital Converters.\u003c\/p\u003e \u003cp\u003e5.4 Second-Order BPF.\u003c\/p\u003e \u003cp\u003e5.5 Pipelining Filters.\u003c\/p\u003e \u003cp\u003e5.6 Real-Time Applications.\u003c\/p\u003e \u003cp\u003e5.7 Frequency Estimator on the DSP5630X.\u003c\/p\u003e \u003cp\u003e5.8 FPGA Implementation of a Kalman Filter.\u003c\/p\u003e \u003cp\u003e5.9 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Case Studies.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Difference Equation to Program.\u003c\/p\u003e \u003cp\u003e6.2 Estimating Direction of Arrival.\u003c\/p\u003e \u003cp\u003e6.3 Electronic Rotating Elements.\u003c\/p\u003e \u003cp\u003e6.4 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix: MATLAB and C Programs.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA.1 Chapter 1 MATLAB Programs.\u003c\/p\u003e \u003cp\u003eA.2 Chapter 2 MATLAB Programs.\u003c\/p\u003e \u003cp\u003eA.3 Chapter 3 MATLAB Programs.\u003c\/p\u003e \u003cp\u003eA.4 Chapter 4 MATLAB Programs.\u003c\/p\u003e \u003cp\u003eA.5 Chapter 5 Programs.\u003c\/p\u003e \u003cp\u003eA.6 Chapter 6 MATLAB Programs.\u003c\/p\u003e \u003cp\u003eA.7 Library of Subroutines.\u003c\/p\u003e \u003cp\u003eA.8 Some Useful Programs.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49402256752983,"sku":"9780470017692","price":95.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780470017692.jpg?v=1730479854","url":"https:\/\/bookcurl.com\/products\/digital-signal-processing-9780470017692","provider":"Book Curl","version":"1.0","type":"link"}