shuangxianxingbuffer

This code is used for converting Fortran code to Matlab code. What you have to do is to put this toolbox in the matlab path and run it from the command line.

说明：  实现多愊图像的隐藏，对于隐藏算法有很好的学习(Multi melancholy images of hidden, hiding algorithm for learning good)

DHMM，离线隐马尔科夫模型用于模式分类的好例子，特征采用Kmeans进行离散化。(DHMM, off-line Hidden Markov Model good example for pattern classification, feature discretization using Kmeans.)

non-uniform sampling

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

研究了重频参差相参脉冲串的频率估计算法。通过脉内相关积累，提高了新序列的信噪比。对新序列的相位差按参差重数抽样平均，减小了等效的相位噪声方差，利用重频参差比解相位模糊，扩大了频偏允许范围，降低了算法的信噪比门限。分析了本算法实现相参频率估计的条件，推导了相应信噪比门限的解析表达式，指出了信噪比门限与信号样本总数、参差重数、参差比之阎的关系。仿真结果表明：上述结论是正确的，在满足信噪比门限条件下，频率估计的精度接近相参脉冲串频率估计的克拉美一罗限(CRLB)。(Frequency Estimation for Staggered Coherent Pulse Train)

Aloumoti simple MATLAB plots

This is System identification toolbox user guide. enjoy it )

进行盲源分离,我已经进行验证了，真的很好用，而且功能很强大，很实用。(blind source separation)

matlab实现kalman滤波 基于无源定位的算法研究(kalman filtering matlab achieve passive location algorithm based on the research)