matlabformimo2x2_version1.0

国外经典信号处理书籍最优阵列处理全部源程序(THE code for the BOOK of 《OPTIMUM ARRAY PROCESSING》)

一个FFT改进版程序，使用kaiser窗；可以方便地打出信号的频谱包络，以及算出SNR/SINAD/THD/SFDR等各种数值。工程上使用非常便利(FFT with Kaiser Wndw, easily plot out the Frequent spetrum and the SNR/SINAD/THD/SFDR performance values)

calculation of load flow in power system using matlab power engineering field

K近邻法的matlab程序，发现大家都在找它！(K-nearest neighbor method of Matlab procedures, I found that we all have to find it!)

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.)

ESTIMATION OF AIRCRAFT TRAJECTORY FROM ITS MOTION USING KALMAN TRACKING FILTER

Matlab讲义高级第4章，大家分享一下(Matlab senior notes, Chapter 4, we share)

In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications.

相空间重构的计算程序。可以为计算关联维数服务，或者要预测时也可用。(it is a program for phase space reconstruction, and it s for correlation dimension or for prediction)

garchfit函数的用法，用于ARMA参数的拟合，给出参数的极大似然估计值。(The function of the usage of garchfit for ARMA parameter fitting, given the parameters of a great likelihood estimate.)