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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.
ST2616F61--0419
- 1、 基于高速同步串行总线的多CPU板间互联技术（智能电网）（著作权1、实用新型1） ST320S智能配电终端（升级方案） 主要负责人：李孟庆 主要内容：随着客户对DTU的要求不断提高，当前的CAN总线的数据传输方式已无法满足要求，于是提出采用SPI（Serial Peripheral Interface）通信方式来提高当前通信率。SPI原先的设计主要是在板内芯片间的通信，如果应用于板间的通信需考虑驱动能力与抗干扰性。(1. Multi-cpu board interconnection