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abc_dqo

于 2014-10-02 发布文件大小:10KB

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This model gives you the transformation of abc components of voltage and current into dqo components which is mostly used in power systems and power electronics

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full_controlled_single_phase_rectifier_waveforms_
full wave rectifierDuring the period from 伪 to 蟺, the input voltage vs input current is are positive and the power flows from supply to the load. The converter is said to be operated at rectification mode .During the period from 蟺 to 蟺+伪 , the input voltage vs is negative and the input current is is positive and reverse power flows from load to the supply. The converter is said to be operated in inversion mode. Depending on the value of 伪, average output voltage can be either positive or negative and hence provides 2 quadrant operation.

2009-03-10 01:35:16下载

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rayleighbenard
说明：雷利对流，用格子波尔兹曼方法以Z.Guo程序为基准，得出的近似值用于估计浮动过程，希望有人能够用得到。( Rayleigh Benard Convection, using a LB method,based on [Z.Guo, ]. Boussinesq approximation is used for the buoyancy term.)

2010-03-20 14:48:55下载

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2013-04-05 16:25:24下载

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Sparse Fuzzy Model Identification Matlab Toolox – RuleMaker Toolbox

2013-12-04 01:29:59下载

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lltsa
流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。(LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.)

2009-05-26 10:59:24下载

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GA-and-CSA
GA&CSA基于matlab的程序求函数最优解(The optimal solution for function )

2013-01-08 15:20:07下载

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asn1-11
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2010-08-09 14:34:36下载

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one
产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

2013-11-26 16:24:18下载

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