matlabfangzhenzishiying

支持向量机辅助程序，可以帮助完成支持向量机的计算过程(Support vector machine aids, can help to complete the calculation process SVM)

小波阈值去噪，含不同分解层次、输入信噪比、阈值、阈值函数去噪功能的比较。原始信号为高斯脉冲(Wavelet threshold denoising with different decomposition level, the input SNR threshold comparison of the threshold function denoising function. The original signal for the Gaussian pulse)

说明：  用Matlab编写的基本遗传算法程序，适合于初学者(Prepared using Matlab basic genetic algorithm, suitable for beginners)

matlab图像处理实例详解第三章源码程序，推荐大家一起学习，很好很实用。(Detailed examples matlab image processing Chapter III source program, recommend everyone to learn, very very useful.)

十种简单滤波和卡尔曼滤波的分析比较,是在matlab上面运行的，(Comparative analysis of ten simple filtering and Kalman filter, is running in matlab above)

自动生成伪随机码，画图说明产生的三组伪机码，将三组伪随机值存放到新矩阵并传送到Workspace中，方便以后调用数据(Automatic generation of pseudo-random code generated drawing shows three sets of pseudo-machine code, the three groups of pseudo-random value is stored into a new matrix and sent to the Workspace, the call data to facilitate future)

FXLMS method for adaptive filtering

用对数似然估计法求解时间序列分析中的ARIMA模型的matlab源代码(with several likelihood estimation method Time Series Analysis of the ARIMA model Matlab source code)

该程序是一个完整的模拟信号数字化传输系统的程序，它进过了PCM编码，2FSK调制解调和一个高斯白噪声，并有误码率的测量(The program is a complete program for the analog signal digital transmission system, it been to the PCM coding, 2FSK modem and a Gaussian white noise, and BER measurement)

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)