Digital Signal Processing : A Practitioner's Approach
Kaluri V. Rangarao
Bok Engelsk 2006 · Electronic books.
| Annen tittel | |
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| Utgitt | Hoboken : : Wiley, , 2006.
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| Omfang | 1 online resource (211 p.)
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| Opplysninger | Description based upon print version of record.. - Digital Signal Processing; Contents; Foreword; Preface; Acknowledgements; 1 Processing of Signals; 1.1 Organisation of the Book; 1.2 Classification of Signals; 1.2.1 Spectral Domain; 1.2.2 Random Signals; 1.2.3 Periodic Signals; 1.3 Transformations; 1.3.1 Laplace and Fourier Transforms; 1.3.2 The z-Transform and the Discrete Fourier Transform; 1.3.3 An Interesting Note; 1.4 Signal Characterisation; 1.4.1 Non-parametric Spectrum or Fourier Spectrum; 1.4.2 Parametric Representation; 1.5 Converting Analogue Signals to Digital; 1.5.1 Windowing; 1.5.2 Sampling; 1.5.3 Quantisation. - 1.5.4 Noise Power1.6 Signal Seen by the Computing Engine; 1.6.1 Mitigating the Problems; 1.6.2 Anatomy of a Converter; 1.6.3 The Need for Normalised Frequency; 1.6.4 Care before Sampling; 1.7 It Is Only Numbers; 1.7.1 Numerical Methods; 1.8 Summary; References; 2 Revisiting the Basics; 2.1 Linearity; 2.1.1 Linear Systems; 2.1.2 Sinusoidal Inputs; 2.1.3 Stability; 2.1.4 Shift Invariance; 2.1.5 Impulse Response; 2.1.6 Decomposing h(k); 2.2 Linear System Representation; 2.2.1 Continuous to Discrete; 2.2.2 Nomenclature; 2.2.3 Difference Equations; 2.2.4 Transfer Function. - 2.2.5 Pole-Zero Representation2.2.6 Continuous to Discrete Domain; 2.2.7 State Space Representation; 2.2.8 Solution of Linear Difference Equations; 2.3 Random Variables; 2.3.1 Functions of a Random Variable; 2.3.2 Reliability of Systems; 2.4 Noise; 2.4.1 Noise Generation; 2.4.2 Fourier Transform and pdf of Noise; 2.5 Propagation of Noise in Linear Systems; 2.5.1 Linear System Driven by Arbitrary Noise; 2.6 Multivariate Functions; 2.6.1 Vectors of More Than Two Dimensions; 2.6.2 Functions of Several Variables; 2.6.3 System of Equations; 2.7 Number Systems; 2.7.1 Representation of Numbers. - 2.7.2 Fixed-Point Numbers2.7.3 Floating-Point Numbers; 2.8 Summary; References; 3 Digital Filters; 3.1 How to Specify a Filter; 3.2 Moving-Average Filters; 3.2.1 Area under a Curve; 3.2.2 Mean of a Given Sequence; 3.2.3 Mean over a Fixed Number of Samples; 3.2.4 Linear Phase Filters; 3.2.5 MA Filter with Complex Coefficients; 3.3 Infinite Sequence Generation; 3.3.1 Digital Counter; 3.3.2 Noise Sequence; 3.3.3 Numerically Controlled Oscillator; 3.4 Unity-Gain Narrowband Filter; 3.5 All-Pass Filter; 3.5.1 Interpolation of Data Using an APF; 3.5.2 Delay Estimation Using an APF; 3.6 Notch Filter. - 3.6.1 Overview3.7 Other Autoregressive Filters; 3.8 Adaptive Filters; 3.8.1 Varying r; 3.8.2 Varying p; 3.8.3 Criteria; 3.8.4 Adaptation; 3.9 Demodulating via Adaptive Filters; 3.9.1 Demodulation Method; 3.9.2 Step Size μ; 3.9.3 Performance; 3.10 Phase Shift via Adaptive Filter; 3.11 Inverse Problems; 3.11.1 Model Order Problem; 3.11.2 Estimating Filter Coefficients; 3.11.3 Target Tracking as an Inverse Problem; 3.12 Kalman Filter; 3.12.1 Estimating the Rate; 3.12.2 Fitting a Sine Curve; 3.12.3 Sampling in Space; 3.13 Summary; References; 4 Fourier Transform and Signal Spectrum. - 4.1 Heterodyne Spectrum Analyser. - Digital 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. Written 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 qu
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| Emner | |
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| ISBN | 0470017694. - 9780470017692
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