ColorErrorDiff

以幻灯片的形式讲解matlab应用.其中包含了例题所含的原程序.(The form of a slide on the matlab application. Which contains sample questions contained in the original procedure.)

用matlab&spss实现聚类分析,源自《计量地理学》（徐建华，华东师范大学）。(Achieve with matlab & spss cluster analysis.)

OFDM系统无保护间隔的系统发送部分、系统接受部分的实现方式(OFDM systems without guard interval of the system to send part of the system to accept part of the way to achieve)

说明：  基于场景的文本定位，使用matlab平台进行图像处理(Scene text localization based on the use of image processing matlab platform)

Continuous Profile Models (CPM) Matlab Toolbox.(Continuous Profile Models (CPM) To Matlab olbox.)

基于循cp的粗小倍数频偏估计 利用ofdm符号的循环前缀(Cp-based crude through a small multiple frequency estimation using the ofdm cyclic prefix symbol)

matlab code for Newton-Raphson solver

matlab pmsm simulink example

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. )

计算信号检测时的ROC曲线,计算结果比较准确，完全符合要求。(Computed the ROC curves.)