InstallGuide

power aperture in matlab

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. )

rs figure....

the intersection of cycl in matlab.show the result in figur.

说明：  一个关于UWB的介绍文档，讲了UWB的基本知识和应用(A tutorial about UWB. Introduce the basic knowledge and Applications of UWB)

海伦法分析3元阵列天线的方向图，增益，电流分布，三维方向图(Helen Analysis of 3 per array antenna pattern, gain, current distribution, three-dimensional pattern)

ICA:独立分量分析，基于MATLAB语言(ICA : Independent component analysis, based on MATLAB)

matlab简单实现多目标跟踪的JPDA算法，供初学者参考(JPDA algorithm for multi-target tracking based on MATLAB. The reference for beginners.)

这是由电子科技大学那里弄来的容积卡尔曼算法模板 希望对大家有用(This is a volume of Calman algorithm for template by the University of Electronic Science and technology to get to hope useful for everyone)

建立了基于matlab的模糊整流器的仿真模型，通过了仿真验证(Established based on the fuzzy matlab simulation model of the rectifier, through the simulation)