Joint Time-frequency Analysis: Methods and Applications
Traditionally, signals have been analyzed in either the time domain or the frequency domain. As digital signal processing applications in space exploration, medicine and so on become more complex, more sophisticated techniques to analyze speech and image signals are necessary. One such technique rapidly gaining in popularity is Joint Time-Frequency Analysis (JTFA). This book provides a comprehensive introduction to JFTA complete with JFTA applications. Written by two senior developers at National Instruments who have worked extensively in the development of the JFTA toolkit, the book provides a balanced presentation of theory and practical applications, includes a demo disk of the JFTA developed at National Instruments, and three in-depth case studies of JFTA applications contributed by experts in the fields of radar, economics, and medicine.
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Review of Signal Analysis
Joint TimeFrequency Analysis
13 other sections not shown
adaptive representation adaptive spectrogram algorithm ambiguity function analysis function analyzed signal apply auto-terms basis functions bilinear Chapter Cohen's class compute continuous-time corresponding critical sampling cross-range cross-term interference cycles denotes discrete Gabor expansion discrete-time discuss Doppler spectrum dual function elementary functions example formula frequency centers frequency domain frequency resolution function h[k function y(t Gabor coefficients Gabor elementary function Gabor transform Gaussian function Haar wavelet harmonic hp(t inner product instantaneous frequency introduced inverse ISAR image joint time-frequency analysis joint time-frequency domain joint time-frequency representations JTFA kernel lowpass filter marginal condition matrix mother wavelet noise obtained optimal orthonormal oscillation oversampling phase plot power spectrum properties quency radar radar image resulting scattering centers Section short-time Fourier transform shown in Fig signal processing signal s(t SOFTWARE STFT spectrogram target TFDS tick marks time-dependent spectrum time-fre time-frequency distribution series time-variant filter tion waveform wavelet series wavelet transform Wigner-Ville distribution window function