High-resolution time-frequency signal analysis by parametric modelling of the Wigner-ville distribution

We present a technique for high resolution time-frequency signal analysis based on a modified version of the Wigner-Ville Distribution (WVD). This is achieved by recognizing that the WVD is the Fourier Transform of a bilinear complex kernel and replacing the Fourier Transform by a high resolution model based spectral estimator. Singular value decomposition methods are employed to produce spectral estimates which are more robust to noise and less sensitive to model order. The results show that the modified WVD can improve both spectral resolution and tracking of instantaneous frequency.