Russiablocks

用于进行二次规划的matlab源代码(Quadratic programming matlab source code )

MATLAB两自由度机械臂鲁棒控制仿真例程(MATLAB two-degree-of-freedom manipulator Robust control simulation routines for)

一步步讲解如何在VC中调用matlab图像处理工具箱来进行canny边缘提取 1.包含pdf文档和源代码 2.源代码code 开发环境是VC6、Matlab7 (a step by step on how to call in VC Matlab Image Processing Toolbox to a canny edge extraction. Pdf files and contains the source code two. Source code development environment is VC6, Matlab7)

数字相控阵雷达幅度和差子函数和相位和差子函数，基于理想去斜信号回波仿真(Digital phased array radar amplitude and differential sub-functions and phase and differential sub-functions, based on the ideal ramp signal echo simulation)

用遗传算法解决旅行商问题的源码 开发坏境MATLAB(Prepared using vc++ student management system need to look at Naqu)

用matlab来实现密码登陆窗口代码，一个程序(code enter)

该文档包含了深度学习中语言自学习示例，包括详细的程序和代码(this document contain Self Taught Learning of deep learning)

说明：  专门讲解matlab做曲线拟合的一个教程，有示例程序的讲解，希望对大家有用(Devoted to curve fitting matlab to do a tutorial, a sample program to explain, hope to be useful)

this program is used to extract the data from the graph photo

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. )