pdmin_dp7uy8

基于Matlab开发环境的数值计算英文原版书(Numerical Computing with Matlab- Cleve Moler (SIAM 2005 367 pg s))

基于matlab的平均帧背景提取方法并且是基于彩色空间的(Matlab-based extraction method, the average background frame and is based on the color space)

说明：  使用 oqam调制的fbmc系统发射端接收端matlab代码(modulate by oqam fbmc transform and received matlab code)

使用Matlab代码和Simulink做音频的滤波后傅里叶分析及相应滤波器分析(Using MATLAB code and Simulink to do fitlered audio file Fourier anlysis and specifications anlysis of the corresponding filter.)

root_MUSIC算法，针对均匀线阵的非相关求根MUSIC算法(root_MUSIC algorithm)

multiuser cdma detection in cdma

PAMSE - measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE(PAMSE- measure the distortion degree of distorted image imd with the reference image imo using the Gaussian smoothed MSE)

高频多续的进行信号处理，得到高频的谱分析，建立hose工具箱(Estimates ARMA parameters via the q-slice algorithm.)

matlab读取文本格式的stl文件，能够将其顶点和法向量读取出来(matlab stl file read text format that can be read out of the vertices and normals)

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))