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musicdoa
说明： 采用10阵元的阵元间距为1/2波长的均匀线阵，估计两个不相干的信号源的波达方向。假设信号
源分别来自 和 方向，信噪比分别为10dB和20dB；并假设样本数为100。使用music算法实现DOA估计(music algorithm used for doa estimation)
- 2009-08-14 12:45:17下载
- 积分：1
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bspline
用matlab开发的B-样条工具箱，包括B-样条近似，de-boor算法等(Developed with matlab, B-spline toolbox, including B-spline approximation, de-boor algorithm)
- 2011-05-30 10:07:48下载
- 积分：1
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AM
说明： this is the matlab code for AM signal
- 2011-06-13 16:00:26下载
- 积分：1
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CS_MRI
CS_MRI:压缩感知（CS）在MRI领域的应用.程序实现展示了CS在MRI的重要作用和明显效果。对于那些CS初学者有着极大的帮助。(CS_MRI:Compressive Sensing s application in MRI field. Codes realize and show the great significance of CS in MRI field.It can be of great help to those fresh in CS field.)
- 2013-05-22 10:13:22下载
- 积分：1
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NuSMV-2.5.1.tar
这是模型检测的一个最新版本，希望对大家有所帮助。(This is one of the latest version of model checking, we want to help.)
- 2010-11-11 15:32:08下载
- 积分：1
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genetic-algorithmMatlab
说明： 用matlab编程遗传算法计算函数的最值，使函数达到最优化(Genetic algorithm with matlab programming function of the most value to optimize the function)
- 2011-03-18 11:07:40下载
- 积分：1
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RVM
预测分类，针对目标样本进行训练比对，预测有可能发生的情况(Predictive classification, target training samples compared to predicted situation may occur)
- 2013-12-17 21:01:12下载
- 积分：1
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STRUCTURAL-BREAKS-ESTIMATION
基于遗传算法的断点估计，对非平稳信号进行分段，使其分段平稳，便于对信号的处理，尤其对于语音信号，非常常用(Based on genetic algorithms breakpoint estimates for non-stationary signal segment, making it piecewise smooth, easy signal processing, especially for the speech signal, very common)
- 2013-04-17 13:54:09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
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10095397
大功率交-交变频调速及矢量控制技术，我从中得到很多启发，大家不妨看看(AC Power- AC variable frequency and vector control technology, I gained a lot of inspiration, we take a look)
- 2010-05-14 16:03:26下载
- 积分：1
