sfunction_example

matlab implemetaion of OCR

一本很好的小波分析书籍，是学习小波的必看之书(A wavelet analysis books, learning wavelet must-see book)

介绍小波分析基础，二进小波变换，规范正交小波基的构造，小波变换与滤波器组，自适应小波变换，以及小波变换的应用等等(Wavelet Analysis and Applications)

msk的调制解调，包含调制解调过程中信号、功率谱的图、调制后的对比图(msk modulation and demodulation process, including modulation and demodulation signal, the power spectrum of FIG modulated contrast FIG.)

说明：  基于nsga-2的多目标优化算法，有注解(Multi-objective optimization algorithm based on nsga-2, annotated)

matabl filtered high frequency noisy

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. )

说明：  windows下用来画曲线的小程序，看看好不好用(windows under the curve for painting small procedures to see is really handy)

GNC toolbox mfile from Thor Fosen

In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.