yun zhibiao

matlab数据处理程序，在处理试验数据时很有用(matlab data processing procedures, the treatment is useful when experimental data)

这是一个关于多输入多输出系统的频域忙识别系统的matlab源码，作者基于二阶和更高阶统计，获得了比较良好的识别效果，文件中包含了文章，可参照起来理解源码。(This is one of the multiple-input multiple-output system in the frequency domain busy Recognition System Matlab source, Based on the second-order and higher-order statistics, access to a relatively good recognition results, the paper contains articles, can be read in the light source.)

说明：  C++源代码，递归实现。原问题描述：鼓上蚤时迁到一个山洞里去盗宝，里面有n件宝贝，价值分别是a1,a2......an，并且满足ai大于a1+a2+....+a(i-1)的和。他身上有一个背包，能装的东西最大价值是K，他只能进洞一次，请问他最多能带出多少？ 要求：输入K，n，a1，a2......an 输出：他能最多带出的宝物价值 (C++ Source code Recursive achieve. The original problem description: drum when flea盗宝going to move in a cave, there are n pieces of treasure, valued are a1, a2 ...... an, and to meet ai than a1+ A22B !....+ a (i-1) and. Him to have a backpack, things can hold the greatest value is K, he could only hole once, to ask him to bring out the maximum number of? Requirements: Enter K, n, a1, a2 ...... an output: he can bring out the maximum value of the treasures)

this is a 10 sample of expert system with CLIPS

machine learning 方面有关于Bayesian Regression的资料，语言是python(There are aspects of machine learning Bayesian Regression information about language is python)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

这是一个KNN聚类程序，大家共同学习,希望对大家有帮助!(This is a KNN clustering procedure, we learn together, we hope there is help!)

svm分类器，主要用于雷达辐射源信号识别(Svm classifier, mainly used for radar emitter signal identification)

根据正弦波叠加法产生莱丝信道，其中参数设置仅供参考(Gaussian power spectrum)

北斗信号模拟生成，包括CA码生成和北斗信号生成正确性验证(Compass analog signal generation, including the CA code generation and signal generation Beidou correctness verification)