Digital Signal Processing Techniques and Applications in Radar Image Processing

LIST OF ILLUSTRATIONS

Figures

1.1	A sinc (t) function.
1.2	A linear system.
1.3	Graphical representations of a function in terms of pulses.
1.4	A time-invariant linear system.
1.5	A periodic signal gp(t).
1.6	Fourier series coefficients of a periodic pulse.
1.7	A single pulse g(t) and its Fourier transform G(ω).
1.8	A single-pulse frequency spectrum G(ω) and its inverse Fourier transform g(t).
1.9	A periodic impulse train and its Fourier transform.
1.10	Fourier transform of a periodic pulse train.
1.11	Graphical representations of the sampling theory.
1.12	Interpolation filters.
1.13	Original and half-sample-shifted digital signals.
1.14	Frequency spectra of a digitized bandpass signal.
1.15	Downsampling with a FIR filter.
1.16	Interpolation with zero insertion and FIR LPF.
1.17	Fractional rate interpolation with M = 2.5.
1.18	Interpolation on evenly spaced data.
1.19	Generation of unevenly spaced data index.
1.20	Relationship between evenly and unevenly spaced data.
1.21	Interpolation on unevenly spaced data.
2.1	A periodic sequence.
2.2	Linear convolution.
2.3	Circular convolution.
2.4	Linearized circular convolution.
2.5	Convolution using overlap-and-add method.
2.6	Convolution using overlap-and-save method.
2.7	Hanning window with different sampling frequencies.
2.8	A 32-point Hanning window.
2.9	Hanning window with time-domain zero padding.
2.10	Hanning window with frequency-domain zero padding.
2.11	DFT with ...