New-folder-(3)

该算法实现数据的聚类,效果较好,在MATLAB7.0中运行通过(the algorithm for data clustering, the effect is better in the running through MATLAB7)

关于低密度奇偶校验码的生成，采用matlab编写，主要是校验矩阵的产生 (on low-density parity-check code generation, prepared using Matlab, mainly for the selection of calibration matrix)

包括ofdm调制解调， LS信道估计，DFT信道估计，改进DFT信道估计(Including ofdm modem, LS channel estimation, DFT channel estimation to improve channel estimation DFT)

uvm验证方法学入门。step by step，适合IC验证人员入门(uvm verification methodology started. step by step, for IC verification personnel entry)

remove noise frome multiple noisy images by mean operation

MATLAB source code of linear and circular convolution and box filter implemented as a function call

利用matlab和ug联合进行齿轮设计，先求解，再建模，思路很新鲜(Ug joint use matlab and gear design, first solved, and then modeling, very fresh ideas)

可以有效方便地对原始数据进行自适应分解，广泛用于故障诊断和模式识别等方面的特征提取。(Can be effectively and easily decompose the raw data adaptively, widely used in troubleshooting and other aspects of the pattern recognition feature extraction.)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

dds simulation codle