fbmc_waveform1(1)

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))

Source code of AFIS (pattern recognition)

C UNİ X SYSTEM SOURCE CODE

about IEEE CAN DO THE POSSIBLE STUDIES ON KALMAN

自适应控制使用李雅普诺夫推导自适应律的学习程序(Adaptive control uses Lyapunov to derive adaptive law)

雷达的线性调频信号matlab仿真模拟，适合雷达信号处理初学者，程序已经过验证。(The linear FM signal matlab radar simulation, is suitable for beginners of radar signal processing, the program has been verified.)

cuda中文手册，对cuda的完整描述，是cuda爱好者与开发者的必备资料(This is a cuda manual in Chinese.The book describeds all details about cuda,which is a essential one for cuda lovers. )

在数值分析中，拉格朗日插值是最简单的一种插值方法。本例就是一个简单的拉格朗日插值的matlab实现。(In the numerical analysis, the Lagrange interpolation is the simplest interpolation method. This example is a simple Lagrange interpolation matlab implementation.)

MATLAB编写的huffman编解码程序，程序中计算了压缩比。(MATLAB prepared huffman codec procedures, procedures to calculate the compression ratio.)

PID控制算法的MATLAB仿真其中参数,Kp,Ki,Kd分别为PID控制器的比例、微分和积分参数。(PID control algorithm of the MATLAB simulation in which the parameters, Kp, Ki, Kd are the proportion of PID controller, differential and integral parameters.)