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Fundamentals of signal processing for sound and vibration engineers
Terdapat bibliografi dan indeks.
CONTENTS:
Preface.
1. Introduction to Signal Processing.
1.1 Descriptions of Physical Data (Signals).
1.2 Classification of Data.
2. Classification of Deterministic Data.
2.1 Periodic Signals.
2.2 Almost Periodic Signals.
2.3 Transient Signals.
2.4 Brief Summary and Concluding Remarks.
2.5 MATLAB Examples.
3. Fourier Series.
3.1 Periodic Signals and Fourier Series.
3.2 The Delta Function.
3.3 Fourier Series and the Delta Function.
3.4 The Complex Form of the Fourier Series.
3.5 Spectra.
3.6 Some Computational Considerations.
3.7 Brief Summary.
3.8 MATLAB Examples.
4. Fourier Integrals (Fourier Transform) and Continuous-Time Linear Systems.
4.1 The Fourier Integral.
4.2 Energy Spectra.
4.3 Some Examples of Fourier Transforms.
4.4 Properties of Fourier Transforms.
4.5 The Importance of Phase.
4.6 Echoes.
4.7 Continuous-Time Linear Time-Invariant Systems and Convolution.
4.8 Group Delay (Dispersion).
4.9 Minimum and Non-Minimum Phase Systems.
4.10 The Hilbert Transform.
4.11 The Effect of Data Truncation (Windowing).
4.12 Brief Summary.
4.13 MATLAB Examples.
5. Time Sampling and Aliasing.
5.1 The Fourier Transform of An Ideal Sampled Signal.
5.2 Aliasing and Anti-Aliasing Filters.
5.3 Analogue-to-Digital Conversion and Dynamic Range.
5.4 Some Other Considerations in Signal Acquisition.
5.5 Shannon
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