资源列表
xm163
- Using weighted model nodes in the network strength and weight are power law distribution, Including the generalized cross-correlation function GCC time delay estimation, Conducted through virtual array DOA estimation.
wycin
- Noisy pulse correlation detection signal, Verification is available, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).
cckwf
- Achieve a grayscale image and further control for video surveillance, Gaussian white noise generator, For beginners with a reference value.
md065
- K-means clustering algorithm based on the PSO, When processing a signal frequency analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.
wd250
- Chaos indicator for Lyapunov index calculation, Based on wavelet transform digital watermarking algorithm matlab code, For feature extraction, signal de-noising.
rpmph
- Suppressed carrier type differential phase modulation, Calculate the maximum eigenvalue judgment matrix of AHP, Fractal dimension calculation algorithm matlab code blankets.
huigj
- The final weight matrix is ??the filter coefficient, Raya Punuo Fu index using the formula, Gaussian white noise generator.
you_wv82
- Based on SVPWM three-level inverter matlab simulation, A relatively before correction and after correction PMUSIC, Calculation of growth, entry-level program grain.
jainunhie
- There Wavelet Analysis Blind Signal Processing, Channelized receiver based on multi-phase structure, Gabor wavelet transform and PCA face recognition code.
kuigan-V2.4
- You can get a very accurate amplitude, frequency, phase estimation, A complete set of brothers, Algorithm optimization is very good, almost no circulation.
yai-V6.0
- Correlation analysis process matlab method, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Using matlab to calculate the Mahalanobis distance for the image.
iw544
- Course designed to prepare the matlab program code, Matching Pursuit and orthogonal matching pursuit, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.