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hmc
- Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRAD
melcepst.rar
- 计算Mel倒谱系数的matlab程序： MELCEPST Calculate the mel cepstrum of a signal C=(S,FS,W,NC,P,N,INC,FL,FH) 使用: c=melcepst(s,fs) ％ calculate mel cepstrum with 12 coefs, 256 sample frames,Mel cepstrum coefficients calculated the matlab procedure: MELCEPST Calcu
ANACOR
- 对应分析correspondence analysis(ANACOR) [G,F,A]=ANACOR(X)，X为原始数据 p X n维 即有n个样本，每个样本由p个变量来描述。返回F为R型因子分析后的结果，Q为最后的结果,A=ZZ 。-Correspondence analysis correspondence analysis (ANACOR) [G, F, A] = ANACOR (X), X for the original data p X n that is n-dimension
bp
- #include "iostream.h" #include "iomanip.h" #define N 20 //学习样本个数 #define IN 1 //输入层神经元数目 #define HN 8 //隐层神经元数目 #define ON 1 //输出层神经元数目 double P[IN] //单个样本输入数据 double T[ON] //单个样本教师数据 double W[HN][IN] //输入层至隐层权值 double V[ON][HN] //隐
HanoiTowerSequence
- 题目大意： 经典的汉诺塔 n个盘编号，从小到大 1..n 问：移动的序列中第k步移的是哪个盘 -Input The first line of the input file is T, the number of test cases. Each test case contains one integer p (1<=p<10^100). Output Output the pth e
dltd
- 采用动量梯度下降算法训练BP网络。在本源码中，训练样本定如下：p=[-1 -2 3 1 -1 1 5 -3] 目标矢量为t=[-1 -1 1 1]-Gradient descent algorithm using momentum BP network training. In this source, the training sample set as follows: p = [-1-2 3 1 -1 1 5-3] target vector for t = [-1-1 1 1]
MLE_123
- Max Likelihood for BL(p,q) series estimation - MATLAB SAMPLE CODE-Max Likelihood for BL(p,q) series estimation- MATLAB SAMPLE CODE
ForK1
- 我们的目的是将一个分数拆分成若干个分子是1分母是正整数的分数之和的形式。例如2/3可以拆分成1/2+1/6的形式。这里不考虑顺序，比如1/6+1/2和1/2+1/6相同。 输入p, q, a, n, 其中p/q为分数，对这个分数进行拆分，要求拆分的分数个数不能多于n个，所有分母的乘积不能大于a。求有多少种拆分方法? 输入：最多200组数据。在每行中都有四个数分别表示p, q, a, n，之间以空格隔开，并且满足p,q<=800，a<=12000，n<=7，最后以四个0做
PROFANA
- 1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance (default = 0.05). 2. For running this file it is necessary to call the
fit
- Matlab中提供了一种快速实现多项式拟合的方法函数polyfit()函数， 其格式：p=polyfit(x,y,n)其中x，y为样本向量，n为拟合的多项式的项数。下面拟f(x)=sinx+x,在区间【-3,3】上以0.5为间隔进行拟合。-Matlab provides a fast way to achieve polynomial fitting function polyfit () function, The format: p = polyfit (x, y, n) where
Onset_Offset_P
- The onset of the P wave is the starting point of the P wave, it s the first positive or null sample before the P peak. The offset of the P wave is the ending point of the P wave, it s the first negative or null sample following the P peak.
pade
- function [a,b] = pade(x,p,q) PADE Model a signal using the Pade approximation method ---- Usage: [a,b] = pade(x,p,q) The input sequence x is modeled as the unit sample response of a filter having a system function of the form
shanks
- function [a,b,err] = shanks(x,p,q) SHANKS Model a signal using Shanks method ---- Usage: [a,b,err] = shanks(x,p,q) The sequence x is modeled as the unit sample response of a filter having a system function of the form H(z)
SVM
- SVM方法是通过一个非线性映射p，把样本空间映射到一个高维乃至无穷维的特征空间中(Hilbert空间)，使得在原来的样本空间中非线性可分的问题转化为在特征空间中的线性可分的问题．这是一本介绍SVM方法的应为资料-SVM method is a non-linear mapping p, the sample space is mapped into a high-dimensional and even infinite dimensional feature space (Hilbert sp
StepclassV2
- 逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8
ARestimation
- 时间序列分析示例程序，用matlab建立AR(P)模型的完整过程，简洁易懂，备注完整。-Time series analysis sample program, using matlab to establish AR (P) model the complete process, easy to read, notes intact.
mat-dlf
- 空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。-Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sa
CQMFB-design
- 设计一CQMFB，低通滤波器H0(z)来自一半带滤波器。该半带滤波器的长度为47，通带截至频率ωp = 0.42π，试给出H0 (z)，H1(z)，G0(z)，G1(z)的幅频响应，单位抽样响应并画图。-Design a CQMFB, low-pass filter H0 (z) the half-band filter. The length of the half-band filter 47, the passband cutoff frequency ωp = 0.42π, try t
MATLAB
- 多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1]-Multiple neurons classification, lenovo is also called the mode.
MIL2_mit_system_T01
- 基于matlab的主动巡航模型，需要自己编辑驱动力block和采样时间。通过调节控制单元P，PI，PID得到需要的参数-Active cruise matlab based model need to edit their own driving force block and the sample time. By adjusting the control unit P, PI, PID parameters needed to obtain