登录
首页 » matlab » MLalgorithm

MLalgorithm

于 2013-05-17 发布 文件大小:1KB
0 231
下载积分: 1 下载次数: 27

代码说明:

  先得到一个定位初始估计值,再利用建立最大似然方程对这个定位初始估计值进行修正,从而得到更优定位结果值,方法更接近于最大似然方法。(Get the a position initial estimate, re-use to establish the maximum likelihood equations corrected for positioning the initial estimates, resulting in better positioning the resulting value is closer to the maximum likelihood method.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • xianshixiaobo
    适合初学小波变换的同学,小程序演示了怎样显示小波各级各频段(show the frequency of wavelet)
    2013-08-31 22:00:30下载
    积分:1
  • APF_2level_3p4L_sch_V1
    说明:  APF有源滤波器仿真,两电平,三相四线制,电力电子技术,matlab simulink(APF active filter simulation, two-level, three-phase four-wire system, power electronics technology, matlab simulink)
    2019-01-07 11:05:48下载
    积分:1
  • fm_block
    descrive the block information of psat
    2012-10-03 03:29:59下载
    积分:1
  • rtsp_final_future
    It is a recursive time synchronization protocol for clock synchronization in wireless sensor networks.Energy efficiency can be increased by the aggregation of synchronization request.
    2015-04-22 14:57:00下载
    积分:1
  • K-meanCluster
    How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
    2007-11-15 01:49:03下载
    积分:1
  • SB1_110.tar
    说明:  很好的支持向量机MATLAB实现程序,简单易操作。(Chaos characteristics used to identify the mutual information algorithm matlab implementation process.)
    2010-04-23 22:25:19下载
    积分:1
  • moshishibie_10454980
    我从网上下的模式识别的书籍,非常好,现共享一下(I recognize the pattern from the Internet of books, very good, is about sharing)
    2011-09-16 07:32:34下载
    积分:1
  • matlab-functions
    :在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处, 提出了两个改进型的聚类算法(n limited areas of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precision together Problem is a perfectly solved problem has not yet completely. For Affinity Propagation clustering algorithm (AP) of the deficiencies, Put forward the two improved version of the clustering algorithm)
    2011-10-24 20:17:31下载
    积分:1
  • antenna
    对于阵列天线以及其他种类天线的2维及3维仿真,可以调节波长,天线长度,以及倾角等参数。(For 2-dimensional and 3-dimensional simulation of the array antenna, and other types of antennas, the wavelength can be adjusted, the antenna length, and the inclination and other parameters.)
    2015-04-14 16:47:19下载
    积分:1
  • jiekou
    说明:  查看要素(Feature)属性信息,同一图层可以选择多个要素(see feature attributes,the same layer can select many features)
    2011-04-07 12:24:48下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载