rapport_du_tp_discret

a hebb algorithm for neural network

用“提前停止”方法提高BP网络推广能力 本例将用提前停止和训练函数TRAINGDX相结合来避免“过度拟合”产生的误差 (The " early stopping" method to enhance the promotion of BP network capacity will be used in this case in advance and training function to stop the combination of TRAINGDX to avoid " over-fitting" error)

ho-kashyap pca normalization clustering algorithm

此程序为8cpfsk的同步部分用msk实现(This program is part of 8cpfsk synchronization achieved by msk)

基于matlab上开发的关于人工神经网络的线性神经网络的程序例子(Matlab based on the development of artificial neural networks on a linear neural network program examples)

特征值分解的例子，music算法，pisarenko算法等(Eigenvalue decomposition of the example, music algorithm, pisarenko algorithm)

matlab学习必备，maltab仿真大全，国外经典之作(matlab learning essential, maltab simulation Guinness, foreign classic)

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.)

osi internet explication

说明：  实现期望最大化算法EM，对混合模型进行参数估计，得到参数的具体值。(The expectation maximization algorithm EM is implemented to estimate the parameters of the hybrid model and get the specific values of the parameters.)