bathe_time_new

语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。而将语音分离技术应用到智能机器人中。让机器人具有智能的听觉，实现声源定位和分离，确定说话人个数，进行人机对话等方面更具有广阔的应用前景。 (Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical significance and practical value. The voice separation technology applied to intelligent robots. Intelligent robot to the hearing, to achieve sound localization and separation, to determine the number of speaker, the man-machine dialogues in a more broad application prospects.)

Finite Element for Total Variation Minimization

一本介绍matlab学习的书籍，清华出版 高清，非常有用(An introduction to the MATLAB learning books, Tsinghua publishing HD, very useful )

本程序描述了地球，月亮以及卫星三者之间的关系，参数可以设置。(This procedure describes the Earth, the Moon and the relationship between the three satellites, the parameters can be set.)

心电、脉搏信号的提取和处理，心电脉搏特征波提取(Extraction and Processing of ECG and Pulse Signal and Extraction of ECG Pulse Characteristic Wave)

本程序以matlab为基础针对飞行目标的预测来建模的编程(This procedure to matlab-based objectives for the flight to prediction modeling programming)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

Matlab色差公式，含CIE DE2000、CIE94、CIEanlab(Matlab color difference formulas containing CIE DE2000, CIE94, CIEanlab)

本程序采用粒子群算法进行计算，粒子群具有速度快的特点。(This procedure is calculated using the particle swarm optimization, PSO has the characteristics of speed.)

A simple Particle Filter implementation