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Chapter 3 Joint Time-Frequency Analysis Algorithms Quadratic JTFA Algorithms The quadratic JTFA algorithms include the following: • STFT spectrogram • Wigner–Ville distribution (WVD) • Pseudo Wigner–Ville distribution (PWVD) • Cohen’s class • Choi–Williams distribution (CWD) • cone-shaped distribution • Gabor spectrogram • adaptive spectrogram STFT Spectrogram The STFT-based spectrogram is defined as the square of the STFT: SP [ m∆M, n ] = ∑ s [ i ]γ [ i – m∆M ]e – j 2πni ⁄ N 2 i=0 where N denotes the number of frequency bins, and ∆M denotes the time sampling interval. The STFT-based spectrogram is simple and fast but suffers from the window effect. Figures 3-1 and 3-2 illustrate the window effect of the STFT spectrogram. With a narrowband window (Figure 3-1), the time-dependent spectrum has high frequency resolution but poor time resolution. With a wideband window (Figure 3-2), the time-dependent spectrum has poor frequency resolution but high time resolution. © National Instruments Corporation 3-3 Signal Processing Toolset