duda-Pattern-Classification-Matlab

matlab的仿真追击程序模拟，欢迎数学建模的朋友下载。(matlab simulation program to simulate pursuit, welcome friends from mathematical modeling to download.)

this folder contain universal dataset for classification

仿真了盲辨识RLS和LMS算法的时间平均信干比，分析了两者的多址干扰抑制能力(Simulation of the blind identification algorithm RLS and LMS average signal to interference ratio of the two algorithms of multi-access interference suppression)

为了提高移动通信系统中数据传输的有效性能,降低GMSK调制系统的误码率. 首先对GMSK调制系统进行分析,得到不同BT值GMSK调制的移动通信系统误码率和带宽的关系.通过引入具有纠错性能的编码技术,降低信息传输的误码率,提高系统的有效性. 本文给出了引入编码技术的GMSK调制系统的仿真模型,仿真结果表明,在相同的信噪比下,系统的误码率降低了1～2dB.(This paper mainly intends to improve the performance of the communication system and decrease the error bit rate of the information. First , the GMSKmodulation system was analyzed , and the relation of the BER and bandwidth in the different BT value was obtained. By introducing the encoding technology , the error bit rate of the information was lowered so that the performance of systemwas improved. This paper presents a simulated model . The results show that the BER of the system in the same SNR can lower 1 to 2 dB.)

A face recognition program in matlab

Gaussian mixture model to subtract background

matlab图像处理实例详解chap6——图像复原技术(matlab image processing example explanation chap6- Image Restoration)

SRM angle plotting model

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)

使用Matlab去LOCATE语音信号，尤其是UNVOICED的语音信号(how to locate the beginning and end of the speech, especially when the signal start from the unvoiced character)