koch_internship

小波神经网络的分类识别，学习率因子，网络动量项因子，网络多分辨级数，网络平移参数 都可自己选。本例输入节点5，输出5。可识别五种信号。(wavelet neural network classification, the learning rate factor, network momentum contribution factor, network multiresolution series. Translation network parameters can be of his own choosing. The five cases input nodes, output 5. Five identifiable signal.)

SWTEST Shapiro-Wilk parametric hypothesis test of composite normality. [H, pValue, SWstatistic] = SWTEST(X, ALPHA, TAIL) performs the Shapiro-Wilk test to determine if the null hypothesis of composite normality is a reasonable assumption regarding the population distribution of a random sample X. The desired significance level, ALPHA, is an optional scalar input (default = 0.05). TAIL indicates the type of test (default = 1).

kriging响应面模型，该程序可以进行函数的拟合，精度很高 (kriging model)

人工免疫算法，采用信息熵计算抗体多样性，亲和力成熟通过克隆选择、细胞超变异来实现(Artificial immune algorithm, using information entropy calculated antibody diversity, affinity maturation through clonal selection, cell variant to achieve ultra-)

仿真高强度聚焦超声（HIFU）治疗生物组织温度场的二维分布情况(simulate the High intensity focused ultrasound (HIFU) in treatment of two-dimensional distribution of temperature field in biological tissue)

This is a simulink of connecting PV+Boost converter

salt and pepper noise correction

MPLAB IDE 7 MCC18 SPI Library

说明：  关于语音信号端点检测的有用文献，主要介绍了关于端点检测的有关技术和方法(Endpoint detection of speech signals useful literature are introduced on the endpoint detection of the techniques and methods)

此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。 程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。(This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the elliptic curve fitting procedure. Process x, y, respectively transverse and longitudinal coordinates of sampling points. The results generated matrix of elliptic curve aX ^ 2+ bXY+ cY ^ 2+ dX+ eY+ f = 0 in the coefficients.)