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2
cstering in mtlb.to cstetring in
- 2013-07-20 07:06:00下载
- 积分:1
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daonajuzheng
电网潮流计算中节点导纳矩阵的形成的函数程序,进过验证可以使用(Power flow calculation of the node admittance matrix of the function of the formation process can be used to go to verify)
- 2009-05-19 10:00:21下载
- 积分:1
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Particle-Filter
描述了Particl Filter的基本原理,以及它与EKF的区别;并用PF实现了对自由落体的跟踪效果仿真。(This program describe basic principle of partilc fitler and its difference with EKF. It also realizes tracking simulation of free fall ball.)
- 2012-05-21 20:51:49下载
- 积分:1
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qanming
实现典型相关分析,基于SVPWM的三电平逆变的matlab仿真,基于kaiser窗的双谱线插值FFT谐波分析。( Achieve canonical correlation analysis, Based on SVPWM three-level inverter matlab simulation, Dual-line interpolation FFT harmonic analysis kaiser windows.)
- 2016-11-25 12:28:42下载
- 积分:1
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lsb
利用LSB算法嵌入隐藏图像,可在广义LSB中设置修改的位平面,返回误码率和峰值信噪比。含各种经典的攻击方式,可用于实验。并可控制攻击的强弱。利用Matlab编写。(LSB embedding algorithm using hidden images, can be generalized to set up modified LSB bit-plane and returned to the bit error rate and peak signal to noise ratio. Containing a variety of classic attack methods can be used for the experiment. Can control the strength of the attack. Prepared using Matlab.)
- 2007-10-26 15:22:17下载
- 积分:1
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matpower4.1
Load flow solution IEEE-14-57-118 Bus test system Matlab Toolbox
- 2014-12-11 00:43:40下载
- 积分:1
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Demo_Zernike_Moment
3d model processing about
- 2013-05-05 19:39:47下载
- 积分:1
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GPA
Code for all matlab users
- 2013-05-25 23:32:05下载
- 积分:1
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multiratewebinar
Design of Multistage Decimators
- 2009-04-18 02:25:41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