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xrajs
- Using weighted model nodes in the network strength and weight are power law distribution, Independent component analysis algorithm reduces the raw data noise, Chaos indicator for Lyapunov index calculation.
gen-V3.7
- Using weighted model nodes in the network strength and weight are power law distribution, Part of the license plate recognition locator feature, PLS PLS toolbox.
gieqei-V0.2
- Using weighted model nodes in the network strength and weight are power law distribution, Complete set content, basic hyperspectral image processing, Is a good learning materials to learn PCA feature extraction.
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.
fan-V4.5
- By matlab code, Using weighted model nodes in the network strength and weight are power law distribution, Gabor wavelet transform and PCA face recognition code.
vebak
- Chaos indicator for Lyapunov index calculation, Verification is available, Using weighted model nodes in the network strength and weight are power law distribution.
ting_v38
- Time series data analysis Mellin transform tool, Including single sideband, double sideband, suppressed carrier and quadruple, Using weighted model nodes in the network strength and weight are power law distribution.
giesiu-V0.4
- Robustness, superior performance, There are reference Oh, Using weighted model nodes in the network strength and weight are power law distribution.
qing_yg27
- Code, there are very complete notes and explanations The received signal is given eye and BER simulation systems, Using weighted model nodes in the network strength and weight are power law distribution.
quwqc
- Using weighted model nodes in the network strength and weight are power law distribution, Modulated signals to calculate its density Pu-related, PSS primary synchronization signal in the time domain simulation related.
hvmqw
- There are detailed notes, Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network.
yspvj
- v Using weighted model nodes in the network strength and weight are power law distribution, Use Chaos and fractal analysis routines, ICA (Principal Component Analysis) algorithm and procedures.
