bpsk_ber1

simulates Inter Cell Interference Coordination techniques

Capon形成器，对多频信号进行插值处理得到较好的波束形成效果(Capon forming device, interpolation processing of the multi-frequency signal to get a better beam-forming effect)

初学者用惯性导航matlab仿真程序和数据，用于导航解算(Beginners use inertial navigation matlab simulation program and data for navigation solution)

自己写的小程序，包括了DAB系统各部分的波形及功率谱图(Write their own small procedures, including the DAB system, the various parts of the waveform and power spectrum)

计算心电信号RR间隙的一个算法，主要用户分析心率变异使用，也可以集成到HOLTER中(ECG RR calculated a gap algorithm, the main users of the use of heart rate variability analysis can also be integrated into HOLTER in)

基于MATLAB开发的，是一个不错的分类程序！(MATLAB-based development is a good classification procedure!)

说明：  Matlab函数逼近程序，包含下面所列多种算法的程序 。 Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数(Matlab function approximation process, including following the procedures set out in a variety of algorithms. Chebyshev Chebyshev polynomial with a known function approximation using Legendre Legendre polynomial approximation of known function with Pade Pade form of rational fraction approximation of known function listed lmz Metz algorithm used to determine the best uniform approximation function ZJPF order polynomial function of the best known square approximation by Fourier series FZZ polynomial approximation of continuous periodic function of known)

说明：  这个程序用来统计被训练的肤色在YCbCr空间的聚类情况，从而建立一维高斯模型，进行肤色分割。(Statistics and observe various color space of 1-d gaussian clustering including Y Cb Cr。)

共９个程序，通过实验熟悉如何使用MATELAB来编程，该程序可以实现最小拍有纹波、最小拍无纹波、数字PID和大林算法(a total of nine procedures, experimental MATELAB familiar with how to use programming, The procedure can be achieved with minimum ripple film, the smallest ripple-free digital, digital PID algorithm and Dalin)

该代码是对文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data算法的实现(the code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)