ECG-Processing

这是基于MATLAB下的XILINX的FPGA的FIR滤波器的模型设计文件(This is a MATLAB-based FPGA of the XILINX Model of the FIR filter design documents)

用于汽车系统动力学分析，包含了汽车振动分析等，有垂向、横向、纵向动力学3个方面(For automotive system dynamics analysis, including the automotive vibration analysis, there are vertical, horizontal, vertical dynamics of 3 aspects)

改进粒子群算法。较好的全局收敛性。较快的速度。(Improvement of Particle Swarm Optimization. Better global convergence. Faster speed.)

说明：  kmeans函数：输入为类别数量k和数据矩阵A；输出为聚类结果A，和迭代次数，并将聚类结果数据以excel形式保存在工作路径下(k-means clustering algorithm error-free very practical)

适合大家的学习滑模变算法，刘金琨老师书上的例子。(Sliding Mode algorithm suitable for all learning, Liu Jinkun teacher book example.)

经典的行人检测算法，利用HOG和SVM实现此算法。已调试可以正常运行。(Classic pedestrian detection algorithm, HOG and SVM to implement this algorithm. Has debugging normal operation.)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

强大的matlab三维重建程序。对初学三维重建的人很好用。(An 3D reconstruction algorithm. You can run it. )

MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰，多径效应影响的信号，仿真研究MIMO-OFDM的性能(A Study on the Channel Estimation Algorithms of MIMO-OFDM System)

利用卡尔曼滤波、滑模观测器和锁相环实现无传感器控制，曲线效果比较合理(Sensorless control is realized by Kalman filter, sliding mode observer and phase-locked loop. The curve effect is reasonable.)