搜索资源列表
Prony_FFT
- Prony方法，一种带吸收衰减因子的“傅立叶”变换。可直接求取信号（如地震数据）的衰减因子，用于油气预测，异常检测等。 Very usefull.-Prony method, a kind of absorption attenuation factor of the
rsvd
- 基于GM算法和QR分解实现的稳健奇异值分解算法，通过该算法可以获取一个数居阵的稳健方差－协方差阵。在该稳健方差－协方差阵上可以进行诸如，稳健主成份分解、稳健聚类、稳健因子分析等操作。-GM based on QR decomposition algorithm and the realization of the stability of singular value decomposition algorithm, the algorithm can be accessed through a
huiseguanlian
- 灰色关联度分析法是将研究对象及影响因素的因子值视为一条线上的点,与待识别对象及影响因素的因子值所绘制的曲线进行比较,比较它们之间的贴近度,并分别量化,计算出研究对象与待识别对象各影响因素之间的贴近程度的关联度,通过比较各关联度的大小来判断待识别对象对研究对象的影响程度。-Gray correlation analysis method is to study the impact of factors and factor values as a line of points, and ques
oneapf
- 基于单位功率因数控制策略的单相有源滤波，去掉非线性负载部分即为单相全控整流。开关器件采用IGBT。-Based on the unity power factor control strategy of single-phase active power filter, remove the part of non-linear load is the single-phase full-controlled rectifier. Switching device IGBT.
work
- matlab程序，详细求解了第三类边界条件下非稳态导热的延迟和滞后问题，并给出了所有的中间过程和最后的作图-time lag and decrement factor
DEA-Matlab
- 本文档实现了在MATLAB中的数据包络计算，可以用于分析某个因素在整体中的影响因素的大小。-This document to achieve the the data envelopment calculated in MATLAB can be used for the analysis of influencing factors of a factor in the overall size.
Statistical-Analysis-MATLAB-
- Statistical Analysis 软件包。与应用案例，包括一元线性回归，双因素等重复方差分析1，多元线性回归2等。-Statistical Analysis package. Applications, including a linear regression, two-factor repeated analysis of variance, multiple linear regression 2.
repeated-measures-ANOVA
- 用MATLAB实现单因素/两因素重复测量方差分析，自带工具包中只有非重复测量的方差分析函数ANOVA。anova_rm实现单因素；rm_anova2实现两因素- function stats = rm_anova2(Y,S,F1,F2,FACTNAMES) Two-factor, within-subject repeated measures ANOVA.For designs with two within-subject factors. function [p, table] =
jaiqou
- 包括主成分分析、因子分析、贝叶斯分析，matlab编写的元胞自动机，语音信号的采集与处理，数字信号处理课设。- Including principal component analysis, factor analysis, Bayesian analysis, matlab prepared cellular automata, Acquisition and Processing of the speech signal, digital signal processing class-ba
niubeng_v67
- 包括主成分分析、因子分析、贝叶斯分析，通过matlab代码，模式识别中的bayes判别分析算法。- Including principal component analysis, factor analysis, Bayesian analysis, By matlab code, Pattern Recognition bayes discriminant analysis algorithm.
langfeng
- 包括主成分分析、因子分析、贝叶斯分析，在matlab R2009b调试通过，非常适合计算机视觉方面的研究使用。- Including principal component analysis, factor analysis, Bayesian analysis, In matlab R2009b debugging through, Very suitable for the study using computer vision.
guilen_v11
- 现代信号处理中谱估计在matlab中的使用，汽车课设货车Matlab驱动力图程序，采用热核构造权重。- Modern signal processing used in the spectral estimation in matlab, Car class-based truck driver trying to Matlab program, Thermonuclear using weighting factor.
paigao_v28
- 经典的灰度共生矩阵纹理计算方法，线性调频脉冲压缩的Matlab程序,包括AHP，因子分析，回归分析，聚类分析。- Classic GLCM texture calculation method, LFM pulse compression of the Matlab program, Including AHP, factor analysis, regression analysis, cluster analysis.
gaitun
- 计算多重分形非趋势波动分析matlab程序,仿真效果非常好，采用热核构造权重。- Calculation multifractal detrended fluctuation analysis matlab program, Simulation of the effect is very good, Thermonuclear using weighting factor.
piebiu_v19
- 计算多重分形非趋势波动分析matlab程序,包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包括AHP，因子分析，回归分析，聚类分析。- Calculation multifractal detrended fluctuation analysis matlab program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the so
gingtie_v66
- 基于小波变换的数字水印算法matlab代码，AHP层次分析法计算判断矩阵的最大特征值,包括主成分分析、因子分析、贝叶斯分析。- Based on wavelet transform digital watermarking algorithm matlab code, Calculate the maximum eigenvalue judgment matrix of AHP, Including principal component analysis, factor analysis, B
jangpai
- 用MATLAB实现动态聚类或迭代自组织数据分析，包括AHP，因子分析，回归分析，聚类分析，基于混沌的模拟退火算法。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Chaos-based simulated annealing algorithm.
Q_factor_calcualtor
- 利用Matlab计算quality factor. 输入是谐振波谱的数据，输出为：谐振频率，谐振幅度和quality factor。(Matlab coding. Calculate quality factor of resonator based on transmission spectrum data.)
ES
- 1.设定种群个体数和需要迭代的次数。 2.选择父代中的个体按照公式z1=sqrt(-2*ln(u1))*sin(2*pi*u2)*m，z2=sqrt(-2*ln(u1))*cos(2*pi*u2)*m进行演化。 这里u1,u2都是随机值，m是控制因子，演化次数越多m，m越小，父代通过与z1，z2相加得到后代。 3.计算后代的适应性。 4.选择后代中最优的适应性作为全局最优适应性。(1. set the number of individuals in the population and
Matlab程序1111
- 海浪模拟，基于PM谱，根据海浪频率波高等因素(Wave simulation, based on PM spectrum, according to wave frequency wave higher factor)