matlab-music

这个程序包里面包含读取遥感影像的IDL代码，可以读取多个波段，并且显示图像！(This package which contains the IDL remote sensing image to read the code, which can be read by a number of bands, and display images!)

vs2010调用matlab.m文件生成的lib,dll,h文件，并进行参数的传递(vs2010 calling matlab.m files generated lib, dll, h file and pass parameters)

UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION

共振解调法诊断轴承损伤类故障的原理概述如下:当轴承某一元件表面出现局部损伤时，在受载运行过程中要撞击与之相互作用的其它元件表面，产生冲击脉冲力，由于冲击脉冲力的频带很宽，必然包含轴承外圈、传感器甚至附加的谐振器等的固有频率而激起这个测振系统的高频固有振动。根据实际情况可以选择某一高频固有振动作为研究对象，通过中心频率等于该固有频率的带通滤波器把该固有振动分离出来。然后进行包络解调，去除高频衰减振动的频率成分，得到只包含故障特征信息的低频包络信号，对这一包络信号进行频谱分析便可以容易地诊断出轴承的故障来。(The principle of resonance demodulation method in the diagnosis of bearing damage such failure overview is as follows: when the bearing surface of a local damage, in the process of loading operation to hit with other elements of the interaction of surface, impact pulse power, due to the impact pulse frequency band is very wide, inevitably contains the bearing outer ring, sensors and even additional resonator and stir up the natural frequency of the vibration system of the high frequency vibration mode.A high frequency vibration mode can be selected according to actual situation as the research object, through the center frequency is equal to the natural frequency of the bandpass filter to separate the natural vibration.Then envelope demodulation, frequency components to remove the high frequency vibration attenuation, get only includes fault feature information of low frequency envelope signal, the envelope signal spectrum analysis can be easily diagnosed bearing failure.)

BP神经网络仿真 MATLAB仿真程序的程序文件(BP neural network simulation program MATLAB simulation program files)

ofdm的.m文件,是ofdm仿真的m文件(ofdm of. m document file ofdm simulation m)

实现hsi颜色空间到rgb颜色空间的转换，还有rgb到hsi的转换，(Achieve hsi color space to the rgb color space conversion)

在simulink基础上搭建的OFDM系统的仿真框图，可以设置具体参数(Based on the built in simulink OFDM system simulation block diagram, you can set specific parameters)

k-means clustering, a very fundamental but also important approach for clustering

经典卡尔曼滤波预测程序，基于观测数据更新，对未来数据进行预测(KALMANF- updates a system state vector estimate based upon an observation, using a discrete Kalman filter.)