ICA

Color Space Transformation(Matlab)

同上，学习matlab的好教程，呵呵，大家不要骂我亚(ibid., Matlab good learning guides, huh, I do not criticize Asia)

Hooke And Jeeves Using Line Searches nonlinear optimization

针对单音信号的科斯塔斯锁相环matlab仿真程序(Costas phase-locked loop simulation for the tone signal)

I have get wavelet matlab coding.

从先验概率中采样，计算权重，抑制载波型差分相位调制，基于掌纹识别的在线身份验证 识别算法本科毕设。( Sampling a priori probability, calculate the weight, Suppressed carrier type differential phase modulation, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.)

生成各个音阶和音符的波形图，可设置节拍与单个音符长短。能用matlab编辑音乐(Waveform to generate various scales and notes, you can set the tempo and length of individual notes. Can use matlab edit music)

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. )

Neural Network using a Generalized Linear Model

以最小均方算法为约束条件的自适应波束形成(Adaptive beamforming with the minimum mean square algorithm as the constraint)