WIGNER
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WIGNER - pseudo wigner distribution
Usage:
WIGNER X NSMT NFIR NFFT
Inputs:
X | input signal, no default (must contain an odd number of samples) |
NSMT | smoothing length, default=7 (must be odd, automatic correction) |
NFIR | fir filter length, default=7 ( must be odd, automatic correction) |
NFFT | fft length, default=2M >= NX, (automatic correction) |
Outputs:
Y | smoothed pseudo Wigner distribution (SPWD) in dB |
Function:
This atom computes the smoothed pseudo Wigner distribution (SPWD) of the signal X. The time and frequency resolution depends on the parameters NSMT (smoothing length), NFIR (FIR filter length for the computation of the analytical signal) and NFFT (FFT length), and on the length of the input vector NX. The computed SPWD (in dB) consists of NFFT values and is stored in the output vector Y. This implementation of the SPWD is based on the algorithms published by W. Wokurek in his doctor thesis. The picture below shows the content of the frame buffer (input signal) X.
Figure 7: Analysis frame of the Wigner distribution
with:
NX | length of input signal X, frame length |
NFIR | length of FIR filter for the computation of the analytical signal |
NSMT | length of time smoothing window |
NWDW | length of analysis window; the length of the analysis window is a basic parameter of the Wigner distribution. However, in this implementation it cannot be specified directly, rather it is derived from NX, NSMT and NFIR: NWDW = (NX-1)-(NSMT-1)-(NFIR-1)+1 |