Search - v c - CodeBus

Search - v c - List

[matlab] piecewise_eval DL : 0: LINEINTRGAL Line Integral in a 2D Vector Field. LINEINTRGAL(X,Y,U,V,C) computes the line integral along the lines given in cell array C. X and Y define the coordinates of a rectangular grid over which U and V are defined. X and Y must be monotonic and 2D plaid as ％ produced by MESHGRID. X, Y, U, and V must all be the same size.-LINEINTRGAL Line Integral in a 2D Vector-Fi eld. LINEINTRGAL (X, Y, U, V, C) computes the line integral along the lines gi ven in cell array C. X and Y coordinate define the s of a rectangular grid over which U and V are defi ned. X and Y must be monotonic and 2D plaid% as pro duced by MESHGRID. X, Y, U, and V must all be the same size.
Date : 2025-12-30 Size : 1kb User : 左贤君
[matlab] VBLAST_2Tx_2Rx DL : 0: VBLAST 2发2收情况下的链路,可以实现误码率的计算-VBLAST two made two collections of links, can achieve the bit error rate calculation
Date : 2025-12-30 Size : 18kb User : fuzong
[matlab] DEFINEV DL : 0: ％DEFINEV Scaling vector and derivative ％％ [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the ％ bounds corresponding to the sign of the gradient g, where ％ l is the vector of lower bounds, u is the vector of upper ％ bounds. Vector dv is 0-1 sign vector (See ?? for more detail.) ％％ Copyright (c) 1990-98 by The MathWorks, Inc. ％ $Revision: 1.2 $ $Date: 1998/03/21 16:29:10 $- DEFINEV Scaling vector and derivative [v, dv] = DEFINEV (g, x, l, u) returns v, distances to the bounds corresponding to the sign of the gradient g, where l is the vector of lower bounds , u is the vector of upper bounds. Vector dv is 0-1 sign vector (See?? for more detail.) Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date : 1998/03/21 16:29:10 $
Date : 2025-12-30 Size : 1kb User : 张风
[matlab] c-v4 DL : 0: 水平集分割算法的C-V模型，matlab源代码-level set segmentation algorithm C-V model, the source code Matlab
Date : 2025-12-30 Size : 17kb User : 陈健
[matlab] equal-area-critirea DL : 0: E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) D-E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc
Date : 2025-12-30 Size : 7kb User : tkspandy
[matlab] 7 DL : 0: 摘要盲图像恢复的主要困难是信息不足，而为了恢复图像和确定点扩散函数需要适当的先验知识。解决这个问题的法、法以及正则化方法等。但是这些方法的计算量都太大，针对上述方法的不足，文章提出了一种恢复图方法有图像的新算法，它通过恢复残差的最小化和后验概率的最大化来估计参数和恢复图像。其中，巧妙地利用了最陡梯度法和共轭梯度法的迭代求解。对由于运动造成的模糊图像，可以明显地改善图像的质量，实验结果证明，在对模糊操作没有严格限制的情况下，仍可得到较好的恢复图像。-： : 2$*/<$ I?E L691/6@ F9MM9G:0=@ R9=? S092F 91/DE 6EC=76/=972 9C 92C:MM9G9E2= 92M761/=972$I?9C G/00C M76 L67LE6 92G76L7 （） =972 7M/L69769 U27R0EFDE /S7:= =?E 91/DE /2F =?E L792=8CL6E/F M:2G=972 &[ $RE008U27R CL/GE8/F/L=9OE 6ED:0/69</= 1E=?7F /2F 3+ 1E=?7F M76 91/DE 6EC=76/=972 /6E E =E2FEF =7 /FF6ECC =?9C L67S0E1$] 2ER 1E=?7F 9C L67L7CEF =7 6EC= S0:6 91/DE :C92D+5 /2F 5E/C=V:/6EC 1E=?7F$W= :CE 192919<E/G7C= M:2G=972 /2F 1/ 919<E &[ M:2G=972 =7 6EC= =?E 91/DE /2F 9FE2=9M@ =?E L/6/1E=E6C$I?9C 1E=?7F :CE C=EELEC= FECGE2= /2F G72Q:D/=E D6/F9E2= 1E=?7FC =7 192919<E ， G7C= M:2G=972 /2F 1/ 919<E L7C=E69769 L67S/S909=@ =7 91L67OE =?E S0:6 91/DE X?9G? 9C /0C7 =7 91L67OE =?E 91/DE V: =@ 92 C71E FED6EE R9=? 27 C=69G= 0919=/=972$
Date : 2025-12-30 Size : 164kb User : zy
[matlab] beibaowenti DL : 0: 有N件物品和一个容量为V的背包。第i件物品的费用是c，价值是w。求解将哪些物品装入背包可使这些物品的费用总和不超过背包容量，且价值总和最大。-There are N items and a knapsack capacity of V' s. No. i is the cost of items c, the value of w. Solving items into the backpack which will enable the cost of these items does not exceed the sum of the capacity of backpack, and the sum of the maximum value.
Date : 2025-12-30 Size : 1kb User : gaozi1012
[matlab] Matlab_ThayChinh_BKDN.0310 DL : 0: về matlab, sẽ hữ u ích vớ i ai mớ i họ c. thank-về matlab, sẽ hữ u ích vớ i ai mớ i họ c. thank
Date : 2025-12-30 Size : 4.75mb User : quang huy
[matlab] publicationdtl DL : 0: S u r f e r自动控制技术在气象资料自动成图中的应用 -Ab s t r a c t ： The ma i n f un c t i o n s o f Su r fe r s o f t wa r e，Ac t i v e X a u t o ma t i o n t e c h ni q ue a nd t he i n t e r fa c e o f VB a p p l i c a t i o n a n d S u r fe r a r e i nt r o— d u c e d i n t h i s p a p e r ．I t i s a l s o i n t r o d u c e d h o w t o c o mb i n e t h e s t r o n g a b i l i t y o f d e v e l o p me n t u s i n g VB s o f t wa re a n d t he s t r o n g ma p p i n g i n Su r f e r b a s e d o n t he i n t e r fa c e．a nd t he k e y pr og r a m t o C a ／ T y o u t t h e i nt e r fa c e t e c hn i q u e a nd a c a s e o f a p pl i c a t i o n a ut o ma t i c ma p pi n g a r e pr e s e n t e d．
Date : 2025-12-30 Size : 228kb User : wang
[matlab] Harmonicinterferencesuppression DL : 1: 针对混沌参数调制( C P M) 的电力线通信( P L C) 中谐波引起的窄带干扰，两阶段动态估计方法根据最小相空间体积( MP S V) 准则估计模型参数，计算量大。为此，提出将未知参数合并到增广状态矩阵的联合卡尔曼滤波方法，避免了专门的参数估计过程，在提高增益性能的同时有效降低了计算量。方法的性能通过对混沌电力线通信下的单音干扰和多音干扰的有效抑制得到了验证。-For the chaotic parameter modulation (CPM) of the power line communication (PLC) in the narrow-band interference caused by harmonics, two-phase dynamic estimation methods with minimum phase space volume (MP SV) criterion estimate model parameters, calculation of volume. Toward this end, the unknown parameters into augmented state matrix of the joint Kalman filter, to avoid the special parameter estimation process, while improving the performance gain reduces the amount of calculation. Method of performance under the power line communication by chaotic multitone jamming tone interference and the effective suppression has been verified.
Date : 2025-12-30 Size : 266kb User : 张海洋
[matlab] all4 DL : 0: MIS结构是半导体技术中的一个重点研究内容，本程序使用matlab程序编写，用于模拟MIS电容在不同频率和不同的非理想因素影响下的C-V特性-MIS structure is a key semiconductor technology research in the content, this program uses the matlab programming, used to simulate the MIS capacitor at different frequencies and different factors of non-ideal CV characteristics under
Date : 2025-12-30 Size : 1kb User : weijin
[matlab] C_V DL : 0: 用来描述铁电存储器MFIS-FET结构的C-V（即电容-电压）关系-Used to describe the ferroelectric memory MFIS-FET structure of CV (ie capacitance- voltage) relationship
Date : 2025-12-30 Size : 2kb User : 钟诚
[matlab] ImprovedCVactivecontourmodel DL : 0: levle set method to handle image in c-v model which is improved by original method
Date : 2025-12-30 Size : 469kb User : roadhard
[matlab] ch05 DL : 0: Beginneing C++ 第五部第五章-Beginneing C++ Part V of Chapter V
Date : 2025-12-30 Size : 201kb User : Jerry Fox
[matlab] C-V DL : 0: C-V模型实现灰度图像和彩色图像的分割,运用水平集方法实现曲线演化-using Chan-Vese model color image segmentation
Date : 2025-12-30 Size : 727kb User : 幽幽
[matlab] New-WinRAR-ZIP-archive DL : 0: Bellman-Ford Shortest Path Algorithm (C) 2004 by Yu Hen Hu find shortest path from a fixed point U to any node V clear all n=input( Total number of nodes = ) echo on starting from a fixed point U, you enter the weight to each node as the weight on the edge from U to that node V if there is no such edge, enter inf when enter a vector, put all number within brackets [ ] echo o-Bellman-Ford Shortest Path Algorithm (C) 2004 by Yu Hen Hu find shortest path from a fixed point U to any node V clear all n=input( Total number of nodes = ) echo on starting from a fixed point U, you enter the weight to each node as the weight on the edge from U to that node V if there is no such edge, enter inf when enter a vector, put all number within brackets [ ] echo off
Date : 2025-12-30 Size : 1kb User : vahid
[matlab] xiaobosuanfa DL : 0: 采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) - Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1)
Date : 2025-12-30 Size : 1kb User : 王飞
[matlab] LevelSet_CV DL : 0: 一种改进的基于C-V模型的水平集分割算法，附有程序和图像源数据，分割方法较好-An improved model based on C-V level set segmentation algorithm, a program and image data source, segmentation method is good
Date : 2025-12-30 Size : 17kb User : 尹香之
[matlab] Fading-channel-simulation DL : 0: 衰落信道仿真 function r = rayleigh( fd, fs, Ns ) r = rayleigh(fd,fs,N) A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed. INPUTS: fd = doppler frequency set fd = v*cos(theta)/lambda v = velocity (meters per second) lambda = carrier wavelength (meters) theta = angle w/ respect to tangent (radians). fs = sample frequency (Samples per second) Ns = number of samples of the Rayleigh fading process to produce OUTPUTS: r = row vector containing Ns samples of the Rayleigh fading process Author: Matthew C. Valenti Mobile and Portable Radio Research Group Virginia Tech For Academic Use Only-Fading channel simulation
Date : 2025-12-30 Size : 3kb User : zhouyi
[matlab] LEACH_Matlab_Code DL : 0: matlab，V c++，代码实现，可以实现leach路由算法-use it in V c++
Date : 2025-12-30 Size : 2kb User : 李彬

« 12 »