MATLAB

计算方法用二分法 以及两种迭代法来进行迭代计算的码源(With the dichotomy, as well as the code source of two kinds of iterative)

利用MATLAB实现OFDM的基本功能。效果不错(Use MATLAB to achieve the basic functions of OFDM. Good results)

自适应滤波LMS算法实现有源噪声消除：Mtalab程序；FLMS算法(Application Program to Test Active Noise Controla 32-tap adaptive FIR filter is used to produce an anti-noise to cancel the primary noise. The adaptive algorithms used here are the filtered-x LMS (FXLMS) and normalized FXLMS algorithms)

source code for an ieee paper!!

标准33节电配电网 simulink模型(Standard 33 saving distribution network simulink model)

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)

关于音频数字水印的嵌入和提取的matlab程序(On the audio digital watermark embedding and extraction procedures of matlab)

Calculates the excitation density for electrons in a semiconductor for incident laser light of 800nm wavelegth out of the number of photons (repetition rate und puls duration required)

广义最小二乘的算法结构，广义最小二乘递推的每一步用两步递推算法，先把噪声参数和模型参数均给个初值，然后第一步先假设噪声参数已知，用最小二乘估计出模型参数，第二步再用最新的模型参数来估计噪声参数，如此循环直到辨识精度达到指定要求或者可用数据用完为止(Generalized least squares algorithm structure, generalized recursive least squares every step of the two-step recursive algorithm, first noise parameters and model parameters to the initial value, then the first step is to assume that the noise parameters are known, with the smallestsquares to estimate the model parameters, and the second step, and then the latest model parameters to estimate the noise parameters, and so on until the identification accuracy specified requirements or available data is used up)

this file use hybrid kalman filter for estimation