Digital signals, processors and noise
著者
書誌事項
Digital signals, processors and noise
(Macmillan new electronics series)
Macmillan, 1992
- : pbk.
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注記
"Macmillan new electronics, introduction to advanced topics"
内容説明・目次
内容説明
This series offers introductions to advanced topics. In this volume the author covers theoretical background and practical applications of DSP as well as the topic of digital noise and signals in noise.
目次
- Part 1 Introduction: background
- sampling and analog-to-digital conversion
- time-domain analysis - describing signals and processors, digital convolution
- Fourier analysis - the discrete Fourier series, the Fourier transform
- the z-transform - definition and properties, z-plane poles and zeros. Part 2 Digital filter design: non-recursive filters - introduction, the Fourier transform method, window functions, equiripple filters
- recursive filters - introduction, the bilinear transformation, impulse-invariant filters. Part 3 The discrete and fast Fourier transforms: the discrete Fourier transform
- the fast Fourier transform (FFT) - basis of the FFT, index mapping, twiddle factors and FFT butterflies, decimation-in-time algorithms, decimation-in-frequency algorithms, FFT processing, fast convolution. Part 4 Describing random sequences: introduction
- basis measures of random sequences - amplitude distribution, mean, mean-square and variance, ensemble averages and time averages, autocorrelation, power spectrum, cross-correlation, cross-spectrum. Part 5 Processing random sequences: response of linear processors
- white noise through a filter
- system identification by cross-correlation
- signals in noise - introduction, signal recovery, matched filter detection, signal averaging
- appendix A - computer programs - list of programs and introductory notes
- basic programs
- PASCL programs
- appendix B - tables of Fourier and z-transforms - the discrete Fourier series - properties
- the Fourier transform of speriodic digital signals - properties and pairs
- the unilateral z-transform - pairs
- the unilateral z-transform - properties
- the discrete Fourier transform - properties.
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