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MATLAB
matlab 基本语句描述，及一些基本内部函数，很有用的，欢迎共享，谢谢(Differential evolution algorithm is very popular in recentyears, it iswidely used in complex optimi-
zation questionsbecause of it’s easy implementation and has less controlparameters. Butconventionaldifferen-
tial evolution algorithm has a problem ofstagnation thatcan stop the algorithm convergence.
)
- 2009-03-18 09:56:50下载
- 积分：1
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pindaifenjieyi
能将频带分解为几个不同频率的信号，可以帮助程序员在做小波变换时使用(Band decomposition can be for several different frequency signal，Can help programmers to use when doing wavelet transform)
- 2012-04-29 21:43:27下载
- 积分：1
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matriceAdjacence
This is a MATLAB code which returns the adjacency matrix of a weighted graph.
- 2015-03-23 18:04:42下载
- 积分：1
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改变光照强度和温度来实现最大功率追踪的功能
说明： matlab/simulink仿真，改变光照强度和温度来实现最大功率追踪的功能，可以实现目标，波形良好(Matlab / Simulink simulation, changing the light intensity and temperature to achieve the maximum power tracking function, can achieve the goal, good waveform)
- 2020-04-06 16:02:41下载
- 积分：1
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SVPWMtested
实现空间矢量控制，结果正确。经过验证！可放心使用！(Source link has yet to be found. Please, try to download it from local website.)
- 2010-10-26 17:01:01下载
- 积分：1
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IEEE-standard-test-systems-data
这是IEEE电力系统标准14-30-57-118节点图！(This is the IEEE standard 14-30-57-118 power system node figure!
)
- 2013-08-25 10:50:58下载
- 积分：1
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CG_ex
共轭梯度发法matlab版本的一个实例源代码，带轨迹收敛图(a source code of conjugate gradient algorithm by matlab )
- 2013-10-27 16:47:48下载
- 积分：1
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OFDM-receiver-part
matlab code for OFDM receiver
- 2015-02-05 17:14:00下载
- 积分：1
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allpass
二阶全通滤波器，实现相位矫正二阶.全通滤波器，实现相位矫正.二阶全通滤波器，实现相位矫正(Second order all-pass filter and realize the phase correction)
- 2017-01-18 09:04:36下载
- 积分：1
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NFEA
张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature
Extraction and Applications(
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data)
- 2020-07-21 16:48:45下载
- 积分：1
