电力电子环流SIMULINK模型 Notice that the Thyristor blocks have an output identified by the letter m. This output Returns a Simulink vectorized signal containing the thyristor current (Iak) and voltage (Vak).
标签: m. identified Thyristor the
上传时间: 2013-12-13
上传用户:水中浮云
This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- Returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- Returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, Returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet
标签: directory functions interface transform
上传时间: 2016-08-31
上传用户:cooran
数值计算牛顿迭代法的matlab源程序 说明如下: %fun----input,the part as the form of f(x) in the equation f(x)=0 % ini----input,sets the starting point to ini % err----input,sets admissible error % sol----output,Returns the root of equation
上传时间: 2014-01-12
上传用户:妄想演绎师
数值分析高斯——列主元消去法主程序 说明如下: % a----input,matrix of coefficient % b----input,right vector % sol----output,Returns the solution of linear equation
标签: input coefficient matrix vector
上传时间: 2016-12-31
上传用户:dancnc
This is GPS Matlab findPreambles finds the first preamble occurrence in the bit stream of each channel. The preamble is verified by check of the spacing between preambles [6sec] and parity checking of the first two words in a subframe. At the same time function Returns list of channels, that are in tracking state and with valid preambles in the nav data stream.
标签: findPreambles occurrence the preamble
上传时间: 2013-12-23
上传用户:秦莞尔w
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) Returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
标签: OTSU segmentation Gray-level segmented
上传时间: 2017-04-24
上传用户:yuzsu
This program uses Markowitz portofolio theory to find combination of stocks in a portfolio which has minimum variance for expected Returns
标签: combination portofolio Markowitz portfolio
上传时间: 2017-05-06
上传用户:李彦东
Generate Possion Dis. step1:Generate a random number between [0,1] step2:Let u=F(x)=1-[(1/e)x] step3:Slove x=1/F(u) step4:Repeat Step1~Step3 by using different u,you can get x1,x2,x3,...,xn step5:If the first packet was generated at time [0], than the second packet will be generated at time [0+x1],The third packet will be generated at time [0+x1+x2], and so on …. Random-number generation 1.static method random from class Math -Returns doubles in the range 0.0 <= x < 1.0 2.class Random from package java.util -Can produce pseudorandom boolean, byte, float, double, int, long and Gaussian values -Is seeded with the current time of day to generate different sequences of numbers each time the program executes
标签: Generate Possion between random
上传时间: 2017-05-24
上传用户:bibirnovis
This functions computes SARMA or multiplicative (p,q) x (P,Q) models for (p,q,P,Q) in (pvec x qvec x Pvec x Qvec) it Returns the best according to AIC where AIC has been modified to account for fixed parameters x = input data pvec = vector of p s set pvec=[0] for no AR qvec = vector of q s set qvec=0[] for no MA Pvec = vector of P s Qvec = vector of Q s T period for multiplicative model
标签: multiplicative functions computes models
上传时间: 2017-06-29
上传用户:Breathe0125
Run following Matlab commands to make sure the installation worked correctly. Unlike query function, filterdb does not load all waveforms to memory but Returns filtered database object. This is useful when the resulting set of the query is too big to fit in memory. Consequent calls to read function can be made to read content of this filtered database object.
标签: installation following correctly commands
上传时间: 2013-12-30
上传用户:ainimao