fuzzy-control

introduction to nonlinear estimation with EKF and an example in Matlab

当要隐藏信息时,在MATLAB的命令窗内输入命令: hide = myhide(carry,signal,x,y)； carry 用你的原始载体文件名代替，signal 用你所要隐藏的文件名代替 carry 和 signal 都必须是 *.* 的形式（注意不能省略单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处 生成的伪装载体文件名为hide.bmp 注意myhide.m文件，载体文件，隐藏文件都要在当前目录(current Directory)下 当要提取信息时，在MATLAB命令窗内输入命令： behidden = myinhide(carry,x,y)； carry 用你的伪装载体文件名代替,格式为 *.* （注意不要丢掉单引号） x,y 是选取隐藏信息的位置坐标，在（x,y）和（y,x）处，这必须和嵌入时所选位置一致。 提取出的信息文件名为behidden.bmp 同样，要注意behidden.m和伪装载体文件都要在当前目录(current Directory)下(when to hide information, in order MATLAB within a window orders : hide = myhide (carry, signal, x, y); Carry with you the original document name instead vector, signal used to hide your name in the paper and instead carry signal must be in the form of*.* ( not to single quotes omitted) x, y is to select the location of hidden information coordinates (x, y) and (y, x) The formation of camouflage vector document, entitled hide.bmp attention myhide.m documents, vector documents hidden all the documents in the current directory (current Directory) to retrieve information when, in order window MATLAB import order : behidden = myinhide (carry, x, y); carry using your camouflage vector file name instead, the format for*.* (take care not to lose a single quote) x, y election Hiding information )

it will help to remove speckle noise remove using wavelet filters in medical images

MATLAB的源程序,包括产生随机传输数据data的子程序,eject_seq发射序列子程序,BPSK调制序列产生子程序,产生pn1序列的子程序,利用积分法实现BPSK解调,均衡pn1序列的子程序.(MATLAB source, including random data transmission of data subroutine, eject_seq launch sequence subroutine, BPSK modulation sequence generated subroutine, have Promoters sequence subroutine, use integral method to achieve BPSK demodulation, balanced Promoters sequence subroutine.)

matlab传染病sis及相关模型的图的模型，及运用(Matlab infectious disease sis and related model diagram model, and application)

Simulation pile à combustibe

并口类别控制类库源码,可以方便的实现对并口的控制操作(type library source, to facilitate the realization of the parallel port control operation)

对lena.map先分块处理，然后做cs变换，观测矩阵用随机高斯矩阵，重构算法用l1算法(On lena.map first block processed, and then do cs transform, random Gaussian matrix with the observation matrix, reconstruction algorithm algorithm using l1)

In this code, the BER performance of a system which uses sparse channel estimation is compared with a system which uses LSE channel estimation. It is shown that using sparse technique improves the performance of the system

sinc插值函数，在SAR、ISAR，通信等信号处理中有广泛的应用，是非常好的学习代码。(sinc interpolation function, there is a wide range of applications in the SAR, ISAR, communications and other signal processing, is a very good learning code.)