Linear_equations

说明：  如何用MATLAB编写有限元程序，对进行有限元开发有很大帮助。(How to write MATLAB finite element program, the development of the finite element of great help.)

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这是一个matlabGUI的基本例程，实现了加法器的功能。可用于matlabGUI入门。(This is a basic routine matlabGUI realized adder function. Can be used to matlabGUI started.)

一种高效快速的线性混合新河盲分离ICA算法，提供了6个源信号以供参考，分离效果很好(An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect)

说明：  现代谱估计的matlab的程序。用的是最小二乘法。(Modern Spectral Estimation matlab procedures. Using a least squares method.)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

基于非局部均值图像去噪，对高斯加噪声有很好的去除效果，其中的修改程序，加入了对称处理，处理对称图像效果更好(Based on non-local means image denoising, the high Alaska noise removal, which modify the program, joined the symmetrical treatment, processing symmetrical image effect better)

自适应信号处理快速算法的MATLAB实现源代码，对于自适应信号的初学者会有很大地帮助(Adaptive signal processing algorithm to achieve the MATLAB source code, for beginners will be of adaptive signal has a great help)

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. )

这是龚纯编著的《matlab语言常用算法程序集》的PDF版。上篇是基础，下篇是大量的程序算法。(This is pure Gong compiled the " matlab common algorithms assembly language" of the PDF version. The first part is the basis Xiapian is a lot of program algorithm.)