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Hilbert-Huang transform tool box source code
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998, United States scientist Huang presents a new method for nonlinear and non-stationary signals processing: Hilbert-Huang transform (HHT). HHT method from signal itself features starting, with experience die State decomposition (EMD) method put signal decomposition into series of this levy die State function (IMF), then on these IMF component for Hilbert transform, thus get Shi frequency plane Shang energy distribution of Hilbert spectrum figure, break has measuring allowed principle of limit, can accurate to expression signal in Shi frequency surface Shang of various information. HHT is the Hilbert-Huang Transform (Hilbert-Huang transform), and United States NASA crocodile invented by Professor Wong, probably is the process of first signal empirical mode decomposition (Empirical mode decomposition-EMD), concluded that intrinsic mode functions (IMF intrinsic mode function), the Hilbert transform of the intrinsic mode function, Hilbert spectrum
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Fractional Fourier transform filtering programs
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Fractional Fourier transform as a generalized form of the Fourier transform, the LFM signal has excellent energy performance, time-domain and frequency-domain can be regarded as special case of the FRFT domain. LFM signals in different projections based on frequency domain as shown in Figure 2, energy distribution of LFM signal can be seen in a wide frequency range, where appropriate with fractional Fourier domain was a shock function. Meanwhile FRFT is a linear transformation, after the signal and the noise of the FRFT superimposed the FRFT respectively. Using these two points will be the FRFT domain for LFM signal filtering. Detection of LFM signals with unknown parameters the basic idea is to scan with rotation angle variables, and observing the fractional Fourier transform of the signal, thus forming parameters of signal energy in the two-dimensional distribution on the two-dimensional plane, on this plane according to the threshold of the peak point of two-dimensional search
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