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Digital signal processing
1 Processing of Signals.
1.1 Organisation of the Book.
1.2 Classification of Signals.
1.3 Transformations.
1.4 Signal Characterization.
1.5 Converting Analog Signals to Digital.
1.6 Signal Seen by the Computing Engine.
1.7 It is Only Numbers.
2 Revisiting Basics.
2.1 Linearity.
2.2 Linear System Representation.
2.3 Random Variables.
2.4 Noise.
2.5 Propagation of Noise in Linear Systems.
2.6 Multi-variate Functions.
2.7 Number Systems.
3 Digital Filters.
3.1 How to Specify a Filter.
3.2 Moving Average Filters.
3.3 Infinite Sequence Generation.
3.4 Unity Gain Narrowband Filter (NBF).
3.5 All Pass Filter (APF).
3.6 Notch Filter (NF).
3.7 Other Autoregressive Filters.
3.8 Adaptive Filters.
3.9 Demodulating via Adaptive Filters.
3.10 Phase Shift via Adaptive Filter.
3.11 Inverse Problems.
3.12 Kalman Filter.
4 Fourier Transform and Signal Spectrum.
4.1 Heterodyne Spectrum Analyser.
4.2 Discrete Fourier Transform(DFT).
4.3 Decimating the Given sequence.
4.4 Fourier Fast Fourier Transform.
4.5 Fourier Series Coefficients.
4.6 Convolution by DFT.
4.7 DFT in Real Time.
4.8 Frequency Estimation via DFT.
4.9 Parametric Spectrumin RF Systems.
5 Realization of Digital Filters.
5.1 Evolution.
5.2 Development Process.
5.3 Analog to Digital Converters.
5.4 Second Order BPF.
5.5 Pipelining of Filters.
5.6 Real Time Applications.
5.7 Frequency Estimator on DSP5630X.
5.8 FPGA Implementation of Kalman Filter.
6 Case Studies 193
6.1 Difference Equation to Program.
6.2 Estimating Direction of Arrival (DoA).
6.3 Electronic Rotating Elements.
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