Computation of Hilbert-Huang Spectrum

Implementation program for Hilbert-Huang Spectrum calculation, where extracted spectral information can be applied to speech recognition, fault detection, and other signal processing applications. The algorithm involves Empirical Mode Decomposition (EMD) and Hilbert spectral analysis for time-frequency feature extraction.

Design of Different Kernel Functions for Time-Frequency Distributions

Analyzing signal spectral information using bilinear time-frequency distributions, where designing different kernel functions enables various spectral effects and facilitates signal parameter analysis. Code implementation typically involves creating kernel matrices and applying convolution operations with signal autocorrelation functions.