MATLAB

face recognition angular radial transform

正确率可以达到98％，利用matlab写成的窄带噪声发生，使用高阶累积量对MPSK信号进行调制识别。( Accuracy can reach 98 , Using matlab written narrowband noise occurs, Using high-order cumulants of MPSK signal modulation recognition.)

变分模态分解,用于分解各种信号，可用来故障诊断，特征提取。(Variational mode decomposition, used to decompose various signals, can be used for fault diagnosis and feature extraction.)

image segmentation algo implementation using matlab

its simualation of dtc

计算峰值信噪比,可以用于检查图像密写的效果(Calculation of peak signal to noise ratio, images can be used to check the effect of Steganography)

A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can eciently compute principal components in high{ dimensional feature spaces, related to input space by some nonlinear map for instance the space of all possible d{pixel products in images. We give the derivation of the method and present experimental results on polynomial feature extraction for pattern recognition

说明：  BP神经网络用与实现不同故障的分类，对复杂信号模式识别是一种很有效的方法。(BP neural network with the classification of different faults and implementation of complex signal pattern recognition is a very effective method.)

当前工程上广泛采用了一种高效滤波器，即CIC（cascaded integrator-comb filter）将其作为第一级来实现抽取、低通滤波。第二级再用一个普通的FIR滤波器就实现使后端设备工作在较低的频率下且硬件花销少、功耗也很低。(Widely used in the current project, a highly efficient filter, that is, CIC (cascaded integrator-comb filter) as the first level to achieve the extraction, low-pass filter. An ordinary second-class and then the realization of the FIR filter so that the work of the back-end equipment at a lower frequency and spending less hardware, power consumption is very low.)

混合脑部图像处理，比较实用，英文论文，模式识别专业论文(Hybrid image processing in the brain, more practical, the English papers)