mekl

阵元间隔为半波长的均匀分布16元线阵，预成指向士arcsin（(2i-1)/16）(i=l，2，…，8)的16个均匀加权常规波束,远场有5个互不相关的目标源发射信号，每个源相对于基阵的方位为-40，-42，-5，30和33，且每个信号源到达基阵的信噪比相同，均为5DB，快拍数为1000.(Array element spacing of half wavelength for the uniform distribution of 16 per linear array, pre-point disabilities into arcsin ((2i-1)/16) (i = l, 2, ..., 8) of 16 evenly weighted conventional beam, far-field has 5 unrelated target the source of emission signals, each source array relative to the position for the-40,-42,-5,30 and 33, and each signal source to the array signal to noise ratio the same as Scientology, are 5DB, snapshots for 1000)

Autoregressive model for missing data

说明：  实现图像旋转功能，针对医学磁共振图像的放转，Matlab编写(Achieve image rotation function, in view of the medical magnetic resonance images of the release switch, Matlab prepared)

这是我自己编写的一个改进的经验模态分解EEMD的源码，希望大家能用上(This is what I have written an improved empirical mode decomposition EEMD source code, I hope everyone can be on)

利用Matlab软件编程实现DDS（直接数字频率合成技术）。设时钟的频率为固定值f_C，在CLK的作用下，如果按照0000,0001,0010，…，1111的地址顺序读出ROM中的数据，即表1中的幅值编码，其正弦信号频率为f_01；如果每隔一个地址读一次数据（即按0000,0001,0100，…，1110顺序），其输出信号频率为f_02，且f_02将比f_01提高一倍，即f_02=2f_01；其余类推。这样，就可以实现直接数字频率合成器的输出频率的调节。(Matlab software programming DDS (direct digital frequency synthesis). Clock frequency set to a fixed value f_C, under the effect of CLK, according to 0000,, ..., 1111 of the sequence of addresses in the ROM reads the data, i.e., the amplitude of the encoding in Table 1, the frequency of the sinusoidal signal f_01 if every time a read address data (ie 0000,0001,0100, ..., the order of 1110), the output signal frequency is f_02, and f_02 f_01 than doubled, i.e. f_02 = 2f_01 rest on. This allows direct digital frequency synthesizer output frequency regulation.)

高斯混合模型用于聚类的程序。可以直接使用。里面有3个例子。(Gaussian mixture model for the clustering process. Can be used directly. Inside there are three examples.)

This code is an implematation of AIRS1 algorithm. I hope this is helpful.

覆盖程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集(fugai)

cholesky decomposition - matrix / vector linear system problem solving a code

Gram-Schmidt orthogonalization of vectors & lincomb formes the linear combination of matrices