搜索资源列表
eg-fft
- fft1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图-fft1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and displa
make_samples
- a server client program, ie mean this itself is server as well as client
123
- this paper present OBJECT TRACKING BY APPLYING MEAN-SHIFT
1
- 实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片-mean-shift
classification
- 基于K均值算法的模糊分类器具有很好的分类效果,用它可以很准确的对训练样本进行分类. 此方法是将K均值算法应用于训练数据的聚类,对每个聚类的半径和聚类的中心都是可计算的. 而模糊系统设计方法就是用模糊度来描述聚类, 对训练数据进行高效且准确的分类.-based on K-mean Algorithm,it can Classify the original data very well!
ColorImageSegmentation
- Color Image Segmentation using K-mean . Matlab Code
PerformanceAnalysisoftheDeficientLengthLMSAdaptiv
- In almost all analyzes of the least mean-square (LMS) finite impulse response (FIR) adaptive algorithm, it is assumed that the length of the adaptive filter is equal to that of the unknown system impulse response. However, in many practical sit
The-mean-of-Taylor-Function
- 详细解释泰勒级数的文章，有趣味性，很不错哦-Explain the Taylor series of articles, interesting, very good oh
mean-shift-and-KALMAN-filter
- mean shift结合卡尔曼预测器 目标跟踪-mean shift and KALMAN filter
active-contour
- The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measure
segment
- Segment may mean: The divisions found in the internal section of a citrus fruit Market segment, the smaller subgroups comprising a market Computing Segmentation (memory), the division of computer memory into segments Image segment c
Km
- In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data space into Vo
dtmf
- 基于最小均方误差的语音增强技术的研究与应用-To enhance the research and application of technology based on the minimum mean square error voice
variance
- 方差分析法 应用统计学家Fisher在20世纪20年代最先提出了可同时比较多个正态总体均值是否相等的方差分析法。 本文通过几个案例来讲解方法分析法的应用-Analysis of variance application statistician Fisher first proposed in the 1920s, can simultaneously compare multiple normal population mean is equal to the analysis of
qweeqdw
- 随机信号的统计特性测试,均值、方差，相关函数（包括自相关、互相关函数）、频谱及功率谱密度算法.-The statistical properties of random signal test, mean, variance, correlation function (including autocorrelation, cross-correlation function), spectrum and power spectral density algorithms.
9552010E202
- This paper presents a new cluster validity index for nding a suitable number of fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains exponential compactness and separation measures. These measures indicate ho
K-nearest-neighbors
- K MEAN CLUSTERING FOR IMAGE PROCESSING
PF-RMSE
- PF-RMSE 单变量非静态增长模型（UNGM模型）粒子滤波算法下，均方根误差分析仿真-Under PF-RMSE univariate non-static growth model (UNGM model) particle filter, root mean square error analysis and simulation
L-5
- Least Mean Square Algorithm
L-6
- Normalised Least Mean-Square Adaptive Filtering