Fn_QDHE

图像纹理特征的提取程序，开发环境是matlab，可以对纹理的统计特征进行计算。(TextureAnlysis.m)

Deblurring Images Using a Regularized Filter This example shows how to use regularized deconvolution to deblur images. Regularized deconvolution can be used effectively when constraints are applied on the recovered image (e.g., smoothness) and limited information is known about the additive noise. The blurred and noisy image is restored by a constrained least square restoration algorithm that uses a regularized filter.

无约束优化,用精确线搜索的最速下降法极小化函数(Unconstrained optimization, with the exact line search the steepest descent method minimization function)

Program generate a random binary sequence, introduce ISI and show the diagrams. Next filter minimalized ISI and generate the graph.

BEE COLONY OPTIMIZATION

simulink搭建的无刷双馈电机控制的矢量控制(Brushless doubly-fed machine control)

Simple Exact Solutions to Burgers Equation

双馈感应风力发电机组传动链系统simulink仿真模型...................(wind turbine drive chain system simulink model........)

说明：  代码完成的功能是OFDM的仿真，可以显示误码率以及各路波形和星座图(The function of the code is OFDM simulation, which can display the bit error rate, waveform and constellation)

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))