hvdc12pulse

这个是一个HHT的镜像延拓的emd程序。可以适当地解决emd变换的端点效应问题。你可以下下来参考下。(This is a mirror image of HHT emd Extension program. Emd can transform an appropriate solution to end effects. You can refer to the next down.)

模式识别中经典的PCA算法，大家可以参考借鉴一下！(PCA in the classic pattern recognition algorithms, we can refer to learn it!)

利用MATLAB实现信号的FFT变换 得到频域特性(Achieved using MATLAB FFT transform of the signal frequency domain)

一种水平集方法分割方法，主要用于分割存在强度异质性的MRI图像(A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI)

说明：  光通信中断概率的判决，用于判断在保证一定误码率情况下的最低发射功率(Optical communication interruption probability judgments for the judge in the case of guaranteed minimum bit error rate of transmission power)

语音合成PSOLA算法实现 语音合成PSOLA算法实现(PSOLA TTS speech synthesis algorithm PSOLA Algorithm)

一个卡尔曼滤波的程序,模型为单位圆,不含过程噪声,不错的程序(A Kalman filter process, the model for the unit circle, without process noise, good program)

本代码比较了在四种不同特征值扩散度情况下RLS算法的学习曲线，即其收敛速度跟集平均平方误差(This code compares the different characteristics of the four cases the value of diffusivity RLS algorithm learning curve, that is, its convergence rate set with the average square error)

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)

运用一种基于相位信息的2FSK与MSK的调制识别方法,来实现MSK与普通的2FSK的识别。通过计算机仿真表明,在SNRE10dB的条件下,该方法识别率达到了100 。 (Based 2FSK use and MSK modulation recognition phase information to achieve a common 2FSK MSK and identification. Through computer simulations show that, under SNRE10dB conditions, the recognition rate reached 100 .)