demoai_fft

DSP2 using matlab v4

采用UKF滤波器的SLAM算法matlab实现，研究机器人的可以作为参考。(used UKF SLAM filter algorithm Matlab realized, the robot can study as a reference.)

* ************************* implementation d ue commande par mode glissant *****************************************

global stffness forces for pre processing finite element semi rigid

说明：  频谱细化小程序（基于czt的频谱细化MATLAB程序）(Detailed spectrum of small procedures (based on MATLAB refinement spectrum czt Procedure))

马尔科夫链模拟原程序，matlab环境下运行(Markov chain simulation of the original program)

以软件为主的方法实现QRS波的检测滤波之后的信号一般经过一些 变换以提高QRS波的份量，进而采用一系列阈值进行判别，这些阈值有固定 阈值法，也有可变阈值法。前者由于可能的干扰或高P、高T波的存在，若 其滤波后超过其阈值便会产生假阳性(FP，falsepositive)结果；另外，当心 律失常或QRS波幅度变小，阈值设置过高，会导致漏检产生假阴性(FN， falsenegative)结果。由于固定阈值的这些缺点，有研究者提出了用可变阈 值检测，以提高检测的精确率，所采用的可变阈值包括幅度阈值、斜率阈值 和时间间隔阈值等。(Give priority to with software method for detecting QRS wave signal after some commonly after filtering Amount of transformation in order to improve the QRS wave, then using a series of threshold to distinguish, the threshold value is fixed Threshold value method and variable threshold value method. The former due to the possible interference or the existence of the high P and T waves, if More than the threshold value is created after the filtering false positives (FP, falsepositive results In addition, be careful Law of disorder or QRS wave amplitude decreases, threshold is set too high, can lead to leak to produce false negatives (FN, Falsenegative) results. Due to these disadvantages of fixed threshold, some researchers have proposed using variable threshold Value detection, in order to improve the precision of detection rate, adopted by the variable threshold including amplitude threshold, the slope threshold And the time interval threshold, etc.)

这个Matlab程序估计、预测马尔可夫转换回归(Markov Switching Regression)，绘制出K线图等回归。(The Matlab program estimates, forecasts Markov transition regression (Markov Switching Regression), drawing out the return of K line maps.)

理论分析和仿真实验结果表明，该算法结构简单，同步精度灵活可变，性能良好。(Theoretical analysis and simulation experiment results show that the algorithm is simple, flexible and variable synchronization accuracy, good performance.)

This is demo code is ued for matlab demo