TDE

MATLAB实现的简单的OFDM模型源代码 这个Matlab程序是关于OFDM调制的。这里使用了BPSK调制，显示OFDM在误码率上的下降。(BPSK modulation with BER with and without OFDM)

系统动力学的应用，对研究轨道系统的动力学很重要(dynamic analysis)

matlab程序，通滤波器的例子,详细的看，适合初学matlab和图形图像处理的例子(matlab procedures pass filter example, detailed view, suitable for beginners and graphics image processing matlab example)

说明：  《MATLAB 7.0编程基础》第7章 （源码实例）主要讲解MATLAB句柄图形对象("MATLAB 7.0 programming foundation" Chapter 7 (source code examples) mainly on MATLAB handle graphical object)

语音信号的先行预测编码LPC 低频率语音编码算法研究及其实时实现(Voice signal of the first predictive coding LPC low-frequency speech coding algorithm for real-time implementation)

本程序是以北京西洋参路口数据为例，采集一天24H数据，并对异常交通数据做识别、修复处理，用结合减法聚类和模糊聚类算法对路口数据实现自动划分(This procedure is based on data of Beijing Ginseng junctions, 24H data collection day, and do identify abnormal traffic data, repair treatment, with a combination of subtractive clustering and fuzzy clustering algorithm for automatic classification of data on the intersection)

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

IMAGE PROCESSING BASED CALIBRATION OF HIGH PRECISION LASER PROJECTION SYSTEMS

此程序用来计算MACD指标并对其有效性进行回测检验(This program is used to calculate MACD indicators and its effectiveness is back to the test)

一个用于系统辨识的特殊输入信号，它由两部分组成，一部分是伪随机二位序列，一部分是随机序列。(A special input signals for system identification, which consists of two parts, part of the pseudo-random sequence of two, as part of a random sequence.)