-
ap5
基于MATLAB的IIR滤波器设计,用MATLAB语言进行编程,供滤波器设计者参考(Based on the MATLAB IIR filter designing, MATLAB programming language, for filter designers)
- 2010-11-27 11:10:41下载
- 积分:1
-
Tarea-Clasificacion
Ejemplo de clasificacion de caracterisiticas utilizando inteligencia de particulas y red multicuadratica
- 2013-08-01 01:59:19下载
- 积分:1
-
qingmeng
分析了该信号的时域、频域、倒谱,循环谱等,小波包分析提取振动信号中的特征频率,各种kalman滤波器的设计。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Wavelet packet analysis to extract vibration signal characteristic frequency, Various kalman filter design.)
- 2016-12-13 10:40:32下载
- 积分:1
-
gaussprocess
gaussprocess, gaussian processing for montecarlo
- 2013-08-08 06:23:00下载
- 积分:1
-
mntlyd
一个关于陀螺转动的简单模拟程序,是用MATLAB编写的.(a rotating gyroscope on the simple simulation program is prepared by using MATLAB.)
- 2006-10-22 19:13:57下载
- 积分:1
-
y123
运用matlab进行下个点的预测分析,并画出了预测误差示意图(use Matlab for the next point forecasts and analysis, and the mapping out of the prediction error Map)
- 2007-04-02 20:47:13下载
- 积分:1
-
m
说明: DS展頻 with pn sequence(DS spread spectrum with pn sequence)
- 2010-05-12 12:47:59下载
- 积分:1
-
ELM
训练集/测试集产生
load spectra_data.mat
随机产生训练集和测试集
temp = randperm(size(NIR,1))
训练集——50个样本
P_train = NIR(temp(1:50),:)
T_train = octane(temp(1:50),:)
测试集——10个样本
P_test = NIR(temp(51:end),:)
T_test = octane(temp(51:end),:)
N = size(P_test,2)
数据归一化
( Training set/test set generation load spectra_data.mat randomly generated training set and test set temp = randperm (size (NIR, 1)) training set- 50 samples P_train = NIR (temp (1:50) ,:)' T_train = octane (temp (1:50 ),:)' test set- 10 samples P_test = NIR (temp (51: end ),:)' T_test = octane (temp (51 : end ),:)' N = size (P_test, 2) Data Normalization)
- 2011-05-21 16:45:51下载
- 积分:1
-
New-Microsoft-Word-Document
it will shrink the i/p image
- 2013-12-17 18:42:27下载
- 积分:1
-
PIM-fuzzy-c-means
Partition index is a measure ofvalidity similar to partition coeGcient, based on using Pj = ci=1 (uij)m as a
measure ofhow well the jth data point has been classi-
2ed. The closer a pixel is to a codebook entry, the closer
Pj
is to one. Ifa pixel becomes an outlier to all cluster centers, the value of Pj approaches 1=cm − 1, which is the minimum value it can have.
- 2015-01-29 18:32:02下载
- 积分:1