different_sample_different_snr

自己写的关于语音分帧，加窗，去噪，端点检测方面的程序，可成功调试 (Write about the voice sub-frame, adding windows, noise reduction, endpoint detection of the procedures, can be successfully debug)

Matlab cod for exemple of fir filter

消隐算法 三维 消隐分类 画家算法 算法的介绍及例子说明(Vanishing algorithm 3 d Vanishing classification Painter algorithm The algorithm is introduced and examples )

说明：  强化学习算法，通过Q学习算法解决房间路径规划问题，matlab(Reinforcement learning algorithm and Q learning algorithm to solve the problem of room path planning, matlab)

LVQ神经网络的预测——人脸朝向识别的源程序及数据。用matlab程序编写。(LVQ neural network prediction- face towards the identification of the source code and data. Using matlab programming.)

基于小波变换和PCA面部识别，基于小波和神经网络的简单有效的人脸识别源代码。(Wavelet transform and PCA face recognition,Simple and Effective Source Code for Face Recognition Based on Wavelet and Neural Networks.)

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)

有关多相滤波的matlab的程序实现，是一个很高的学习例程，有助于对matlab和多相滤波的学习(On the polyphase filter matlab realize the procedure is a very high learning routines, help to matlab and polyphase filter learning)

In matlab, after creating the figure you need to save it as a pdf format for various of purposes. in this function I illustrated how you can save your figure in pdf format,

反映振动信号分布特性的数值统计量，是归一化的4阶中心矩 (Numerical statistics reflect the distribution characteristics of the vibration signal is normalized 4-order central moments)