gpml-demo

结合了粒子滤波器和UKF滤波器的优点而用来估测一维状态变量的估测算法(A combination of particle filters and the advantages of the UKF filter is used to estimate the one-dimensional state variable of the estimation algorithm)

OFDM Modulation and Demodulation

MATLAB CODE FOR POWER FLOW 2

是希尔伯特黄变换的c++源代码，帮助大家一起学习，更进一步的了解希尔伯特黄变换(Is the Hilbert-Huang transform c++ source code to help people learn together, a better understanding of Hilbert Huang Transform)

solving unit commitment by dynamic programming

说明：  cv模型 matlab 图像分割源码，与传统模型相比，该C V模型具有更高的分割精度。(cv model segmentation matlab source, compared to the traditional model, the CV model has higher accuracy of segmentation.)

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

说明：  可以与carsim联合仿真模拟车辆轨迹跟踪(It can be used with CarSim to simulate vehicle trajectory tracking)

说明：  这是一个高速公路仿真模型。该仿真模型可以在matlab中以命令行形式或者图形界面形式进行。(CTMSIM is an interactive freeway traffic macrosimulator for MATLAB. It is based on the Asymmetric Cell Transmission Model (ACTM) and allows user-pluggable ramp flow and ramp queue controllers. Its output can be directly compared with PeMS data .CTMSIM operates both in graphical (interactive) mode and command line (batch) mode.)

I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise. (I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.)