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Description: Matlab WSNs 质心法代码,密度10*10,间隔10。效果良好
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Size: 823 |
Author: 杨立瞻 |
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Description: matlab写的质心沃龙诺依程序,把需要划分的区域划分成相应的质心沃龙诺依区域,质心沃龙诺依图是在沃龙诺依图的基础上把随机的产生点固定在每个沃龙诺依区域的质心上-write matlab centroid Vorontsov Noida procedures, the needs of the division is divided into regions corresponding centroid Vorontsov Noida region, center of mass Noida Figure Vorontsov Vorontsov was Nooyi map based on the random selection of points fixed in each In Noida Vorontsov mind the quality of regional
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Size: 83968 |
Author: 杨占龙 |
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Description: calculating the binaural cross-correlogram of a sound. The toolbox incorporates functions for:
signal generation (e.g., bandpass noise, pure tone, complex tone, Huggins pitch)
plotting and playing of signals
calculation & post-processing of the correlogram
frequency or delay weightings
calculation of centroid or peak locations.
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Size: 80896 |
Author: xzl |
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Description: 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.
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Size: 2048 |
Author: yangdi |
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Description: matlab开发的一个检测封闭曲线质心的程序。很好用-matlab developed a closed curve centroid detection procedures. Good use
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Size: 1024 |
Author: ru |
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Description: Matlab的centroid.m、mse_dist.m、uq_dist.m文件 ,它们分别求:一个区域的质心、对已知分布和量化区域边界的均方量化误差、采用均匀量化对一给定信源量化时的失真。-Matlab
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Size: 2048 |
Author: wx |
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Description: Matlab WSNs 质心法代码,密度10*10,间隔10。效果良好-Matlab WSNs mass-force code, the density of 10* 10, 10 interval. Well
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Size: 1024 |
Author: 杨立瞻 |
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Description: 一种图像质心的 改进方法,可用于图像水印的归一化变换方法中-An image centroid method can be used to image watermarking normalized transform method
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Size: 1024 |
Author: 韩宁 |
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Description: 基于分裂法的lbg算法,用分裂质心的方法进行,直到达到码字数量为止。-Secession Law of the LBG-based algorithms, used to split the centroid method, until it reaches the number of code words so far.
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Size: 2048 |
Author: cao |
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Description: 质心拉格朗日算法的MATLAB代码,是对拉格朗日算法的改进-Lagrange centroid algorithm MATLAB code, is a Lagrange Algorithm
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Size: 1024 |
Author: 赵晓宇 |
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Description: Set of functions to calculate the centroid, central moments and normalised moments of a binary image. Easy to understand, implemented in matlab
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Size: 1024 |
Author: sdqali |
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Description: matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
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Size: 1024 |
Author: Moh d |
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Description: The function applies the Madsen method for Doppler Centroid estimation. The input are:
1) the raw data, the parameter of the distance between samples in azimuth to be correlated and the PRF (Pulse repetition frequency)
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Size: 1024 |
Author: rotor |
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Description: LBG算法,初始码本随机给出,然后根据对训练矢量的划分,计算形心,更新码本。原代码中含有去空胞腔的程序。-LBG algorithm, given a random initial codebook, and then based on the division of the training vector, computing the centroid, update this code. Contains the original code to empty cell process.
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Size: 4096 |
Author: tess |
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Description: 是一种关于无线传感器网络的质心定位程序的MATLAB原代码.希望对大家有帮助-Is a wireless sensor network on the centroid position of the MATLAB program source code. I hope all of you help ...
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Size: 1024 |
Author: 李亚杰 |
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Description: A new concept of tracking ball has been applied of detecting the ball in one frame by finding centroid ball ,finding histogram of the ball region and correlating it with candidate s histogram (by scanning the complete image) in subsequent frames. Matching of histogram indicates presence of ball ,hence tracks it.
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Size: 2048 |
Author: Vishwanath |
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Description: tracker.m
Continuously keeps taking snap in real time and sending to function isub for tracking
isub.m
It is a function which takes two consequent frames, subtracts them(background gets subtracted), converts the
resulting image into binary, finds the centroid of largest area of connected pixels and marks it(tracks it)
The code has been tested in MATLAB 7.6
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Size: 2048 |
Author: Vishwanath |
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Description: Centroid algorithm for gray scaled images.
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Size: 1024 |
Author: alfa |
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Description: K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids.
There are two function for that the kMeanCluster and distMatrix
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Size: 2048 |
Author: Luis |
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Description: Centroid Calculation in MATLAB
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Size: 5120 |
Author: Max00111 |
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