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array
search in array by binary search
- 2013-11-26 15:35:56下载
- 积分：1
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tiaosu_5
利用matlab/simulink 编写的直流调速程序(using Matlab/Simulink prepared by the DC converter procedures)
- 2006-05-24 10:36:14下载
- 积分：1
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ising1.m
1D Ising
ising1(n,m,b,p)
n - length of domain, a positive integer
m - number of iterations, a positive integer
b - coupling parameter / temperature, a positive scalar
b = 0 -> Very high temp / low coupling
b > 1 -> Very low temp / high coupling( 1D Ising ising1 (n, m, b, p) n- length of domain, a positive integer m- number of iterations, a positive integer b- coupling parameter/temperature, a positive scalar b = 0-> Very high temp/low coupling b> 1-> Very low temp/high coupling)
- 2014-10-21 15:31:20下载
- 积分：1
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svmTrain
[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an
SVM classifier and returns trained model. X is the matrix of training
examples. Each row is a training example, and the jth column holds the
jth feature. Y is a column matrix containing 1 for positive examples
and 0 for negative examples. C is the standard SVM regularization
parameter. tol is a tolerance value used for determining equality of
floating point numbers. max_passes controls the number of iterations
over the dataset (without changes to alpha) before the algorithm quits.
- 2013-05-14 08:53:31下载
- 积分：1
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multiple_object_tracking
用matlab仿真多目标跟踪中的航迹关联融合的程序，(Matlab simulation of multi-target tracking with the track association fusion procedure)
- 2020-10-28 09:09:59下载
- 积分：1
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assignment2
栅格校正源代码，用matlab实现，抄自网上(Grid correction source code using matlab, copied from the Internet)
- 2012-05-23 13:13:14下载
- 积分：1
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GUI-matlab-tutorial
GUI matlab tutorial,GUI 编程好助手！(GUI matlab tutorial,GUI programing！)
- 2013-01-23 03:20:11下载
- 积分：1
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dandiansudu
逆合成孔径雷达点目标速度估计和补偿程序，经运行，效果良好(Inverse synthetic aperture radar point target speed estimation and compensation program, after running to good effect)
- 2011-09-13 15:37:02下载
- 积分：1
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TWTA
用MATLAB编程的语言，求解对TWTA的无记忆特性的描述(Using MATLAB programming language, solving for TWTA description of the non-memory characteristics)
- 2013-09-25 20:46:41下载
- 积分：1
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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
