audio_denoising

用C++实现窗函数的设计，采用的是海明窗为例子(Using C++ to achieve the design of window function, Hamming window is used as an example)

Bilateral band modulation and single sideband modulation Simulink Simulation Module

本程序利用遗传算法实现对31个城市的旅行商为题的遍历(The program uses genetic algorithms to achieve the 31 cities traversed the theme of traveling salesman)

matlab软件在有限差中的应用，里面含有一篇相关论文(the software matlab finite difference, which contains a related paper)

将matlab、simulink 船舶航向模型转化成C++代码，进行实时控制(convey matlab/simulink ship course model to c++ code and realize realtime control)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

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. )

基于遗传算法和免疫算法的的数据挖掘算法对比，用Matlab编写(Mining algorithm of genetic algorithm and immune algorithm based data, using Matlab prepared)

请输入非递减的有序序列,输入-1结束,再输入一个数字，插入其中，按照从小到大的顺序进行排列，完成这个程序(Please enter a non-decreasing ordered sequence, enter-1 end, and then enter a number, into which, in ascending order of arrangement, complete this program)

this mfile determine the observability of a system in control