Kalman Filter

用MATLAB实现模式识别中的贝叶斯分类(Using MATLAB to achieve recognition in the Bayesian classifier)

这个是短时傅立叶变换程序,希望对大家有用了!(This is a short-time Fourier transform procedures in the hope that it may be useful right!)

分析了pure aloha与slot aloha协议的时延(analysis time delayof pure aloha and slot aloha)

Matlab Programming Fundamentals

power electric simulation full bridge

matlab，把文件解压后放入matlab的默认文件夹里，一般是（C:MATLAB7work）。在matlab主窗口中输入命令ima=imread( C:MATLAB7work1.jpg )，然后输入命令[P,U,iter]=GPAS2(ima,2)，即可。绝对好运行(matlab, matlab to unzip the files into the default folder, usually (C: MATLAB7 work). In the matlab main window, type the command ima = imread (' C: MATLAB7 work 1.jpg' ), and then enter the command [P, U, iter] = GPAS2 (ima, 2), can. Definitely a good run)

C_与MATLAB混合编程(英文版),讲解如何用C与MATLAB的混合编程运用。(C_ mixed with the MATLAB programming (English))

说明：  国外的matlab教程，英文版，属于基础入门教材。(Matlab tutorial abroad)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

地震子波的提取，直接关系到地震资料分辨率，提取子波的方法很多，本程序采用了基于复赛谱的子波提取(Seismic wavelet extraction, directly related to the resolution of seismic data, wavelet extraction are many ways, this program uses spectrum based on wavelet extraction semi-finals)