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sparco-1.1.3
著名的Sparco工具包。是matlab下解决线性约束，二阶锥约束和半定约束等优化问题的常用工具。(Sparco famous Kit. Are resolved under matlab linear constraints, second-order cone constraint and semidefinite constrained optimization problems, such as commonly used instrument.)
- 2009-03-21 02:19:23下载
- 积分：1
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gm2trellis
This program is used to compute stbc using trelis code
- 2010-12-13 17:43:31下载
- 积分：1
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234
MATLAB非常齐全的绘图命令，里面含有各种实例和源代码。(MATLAB is a full range of graphics commands, which contains a variety of examples and source code.)
- 2009-07-15 21:02:58下载
- 积分：1
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s
说明： S 函数使用及应用举例，对涉及到simulink里s函数的应用有详细的解释(For example, using the S function and application of Simulink in the s function involves the application of a detailed explanation)
- 2014-08-13 20:44:45下载
- 积分：1
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DDSHEX
生成Intel Hex file的MATLAB源程序(MATLAB source generates Intel Hex file)
- 2013-04-16 20:26:05下载
- 积分：1
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FUZZY-MEASURE-FUZZY-RULE
FUZZY MEASURE-BASED FUZZY RULE INTERPOLATION BASED ON
- 2013-11-13 15:01:14下载
- 积分：1
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shipinzhuanhuan
将时域信号进行处理得到加速度频域幅值谱或振级谱(Acceleration amplitude spectrum or magnitude spectrum in frequency domain can be obtained by processing time domain signals.)
- 2020-06-16 22:20:01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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13.USING-ACTIVE-POWER-FILTERS-TO-IMPROVE-POWER
This paper describes different power quality
problems in distribution systems and their solutions with
power electronics based equipment. Shunt, hybrid and
series active power filters are described showing their
compensation characteristics and principles of operation.
Different power circuits topologies and control scheme for
each type of active power filter are analyzed. The
compensation characteristics of each topology with the
respective control scheme are proved by simulation and
experimentally.
- 2014-10-09 01:20:59下载
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2
说明： new pdf for introfuction of image process
- 2014-10-12 11:59:04下载
- 积分：1
