timing1

谱减法的语音降噪模型仿真，具有较好的降噪效果。(Spectral subtraction noise model simulation of voice and has good noise reduction.)

用matlab求框架的位移，多自由度发，有限元素(Frame------p73 example2.8 Yijun Liu Introduction to FEM & Frequencies calculation)

优化相关的最大值与最小值极大值极小值问题(Optimization-related maximum and minimum maximum minimum problem)

Economic Dispatch for power generating systems with Lagrange method

FastICA工具箱对初开始接触独立分量分析的人帮助很大，对工具箱的使用介绍很详细(FastICA toolbox early came into contact with the independent component analysis helps a lot of people, using a very detailed description of the toolbox)

利用自然梯度算法，分数阶傅里叶变换计算方面,可以实现模式识别领域的数据的分类及回归。( Use of natural gradient algorithm, Fractional Fourier transform computing, You can achieve data classification and regression pattern recognition.)

基于DD算法的先验信噪比估计的维纳语音降噪完整程序，包括语音分帧，动态信噪比估计,噪声估计更新和帧的重构。很完整。(DD algorithm based on a priori signal to noise ratio is estimated that the integrity of the process noise reduction Wiener voice, including voice sub-frame, dynamic signal to noise ratio estimation, noise estimation and frame reconstruction update. Complete. I hope to share together.谢谢. Small text.)

自编的一个劳斯判据判断系统稳定性的Matlab函数，请各位参考(A matlab procedure for ...)

It is the corresponding testing module of the function that is specified in the training phase. test_set is a NxD matrix where N is the number of samples in the test set and D is the dimension of the feature space. true_labels is a Nx1 matrix specifying the class label of each corresponding sample s features (each row) in test_set . adaboost_model is the model that is generated by the function ADABOOST_tr .

说明：  滤波器的使用，功能，详解，滤波器matla(filter filter )