mean
共 154 篇文章
mean 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 154 篇文章，持续更新中。
DSP算法 PROGRAM TO FIND MIN, MAX, MEAN AND VARIANCE OF RECORDS IN AN EXISTING DSP DATA FILE
DSP算法
PROGRAM TO FIND MIN, MAX, MEAN AND VARIANCE OF RECORDS
IN AN EXISTING DSP DATA FILE
各类聚类算法程序包
各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等
自行implement的k-mean(含fuzzy c mean)
自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作
通过c语言实现k_mean聚类算法
通过c语言实现k_mean聚类算法，是最简单的聚类算法，欢迎参考
基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)
基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信
息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子
学位论文；运动物体跟踪方法主要包括卡尔曼滤波
学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷
讲述mean shift在目标跟踪方面的应用
讲述mean shift在目标跟踪方面的应用，阐述其基本原理。
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A componen
PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to tra
PRINCIPLE: Removal of the row mean from each row, followed by division of the row by the respective
PRINCIPLE: Removal of the row mean from each row, followed by division of the row by the respective row standard deviation.
K-MEAN:经典K均值算法,适用领域：语音识别
K-MEAN:经典K均值算法,适用领域：语音识别，图像识别
The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full
The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation,
k－mean算法的源码
k－mean算法的源码，对聚类非常有用！！可以直接使用！
k-mean算法演示
k-mean算法演示，利用手工输入点通过k类自动聚合
The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is
The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab
functions. Its propose is to divide a given data set into subsets (called
clusters), hard and fuzzy partitioning mean, that t
mean shift
mean shift
均值漂移算法的详细介绍
均值漂移算法的详细介绍，论证均值漂移算法的收敛性，介绍mean-shift算法在图像分割，目标跟踪领域的应用
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random n
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
a Compute the autocorrelation of for .
b Compute the periodogram estimate and pl
extreme learning machine 例子 run sinc_mean
extreme learning machine 例子
run sinc_mean
This program simulates plant identification using frequency block least mean square (FBLMS) alogrith
This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant docum
Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM
Comparison of the performances of the LS and the MMSE channel estimators
for a 64 sub carrier OFDM system based on the parameter of Mean square error