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chengxu
从EXCEL中读取数据,提供了替换掉不理想数据的方法,还阐述了如何将数据写入EXCEL。(It can read data from EXCEL and provide method of replacing unsatisfactory data, but also explain how to write data to EXCEL.)
- 2010-01-12 16:06:39下载
- 积分:1
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BlindSourceSeparation
利用自然梯度算法来对于5 类信号进行盲信号分离,采用自然梯度法对混合的信号进行
分离并分析其性能,并比较不同步长对于信号分离的影响(Use of the natural gradient algorithm for the five types of signals blind signal separation, using the natural gradient method for mixed signal
Separation and analysis of its performance and compare sync signal separation for the impact of long)
- 2012-01-10 15:46:18下载
- 积分:1
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ThreePhaseSPWM
三相DC-AC逆变器的谐波注入SPWM调制技术
性能指标:直流输入350~640V,三相交流输出线电压220V AC,输出功率5kVA,功率因数0.8,输出频率50Hz。(Harmonic Injection SPWM Modulation Technology for Three-phase DC-AC Inverter
Performance indicators: DC input 350 ~ 640V, three-phase AC output line voltage 220V AC, output power 5KA, power factor 0.8, output frequency 50Hz.)
- 2019-05-19 16:28:48下载
- 积分:1
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psobp
BP neural network trained by PSO algorithm
- 2015-01-06 23:31:02下载
- 积分:1
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lowpass
基于remez函数的低通滤波器设计及实现(Based remez function and implementation of low-pass filter design)
- 2011-01-06 20:08:19下载
- 积分:1
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c
说明: This is a time series analysis matlab under the ARMA model and prediction procedures.
ARMA algorithm by using a series of data to predict and analyze the prediction rule
- 2011-07-26 20:19:28下载
- 积分:1
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CARO-System-Specification---Pham-Cao-Nhat-Phuong-
Caro game system specification
Netcetric
- 2013-12-12 01:52:14下载
- 积分:1
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在matlab中实现comsol中随建模机纤维 comsolwithmatlab
说明: 在matlab中实现comsol中随建模机纤维(Realization of the fiber with modeling machine in COMSOL in MATLAB)
- 2020-06-30 07:20:02下载
- 积分:1
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EKF__
基于扩展卡尔曼滤波器的永磁同步电机矢量控制matlab/simulink仿真(Extended Kalman Filter based permanent magnet synchronous motor vector control matlab/simulink simulation)
- 2015-05-15 09:43:28下载
- 积分:1
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SVM
支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的,根据有限的样本信息在模型的复杂性(即对特定训练样本的学习精度,Accuracy)和学习能力(即无错误地识别任意样本的能力)之间寻求最佳折衷,以期获得最好的推广能力[14](或称泛化能力)。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)
- 2010-10-25 17:19:32下载
- 积分:1