Search - c l - CodeBus

Search - c l - List

[matlab] 231226 DL : 0: 空间后方交汇求解相机外方位元素，变量如下％ x，y 控制点像点坐标％ X，Y，Z 控制点空间坐标％f焦距％X0，Y0，Z0，a，b，c六个外方位元素％x0，y0，-f内方位元素：光心坐标％cha，chb，chc：外方位角元素改正数％count 记录迭代次数％R 旋转矩阵％A 线性化的偏导系数矩阵％L 常数项矩阵％M0 外方位元素矩阵％M1 外方位元素改正数矩阵-meeting space for rear camera position outside elements, as follows% variable x, y control point pixel coordinates% X, Y, Z coordinates control room focal length f%% X0, Y0, Z0, a, b, c 6 exterior orientation elements% x0, y0,- f position within elements : Optical Center coordinates% cha, chb, chc : Foreign elements azimuth correction% record count the number of iterations rotation matrix R%% A linear partial derivative of the coefficient matrix% L constant Matrix% M0 Orientation% M1 matrix elements of exterior orientation correction matrix
Date : 2025-12-27 Size : 1kb User : 王立钊
[matlab] segmeeeeeeeeeeeeeee.tar DL : 0: A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512 512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate-A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c
Date : 2025-12-27 Size : 17kb User : gggg
[matlab] BIQPBOX DL : 0: ％BIQPBOX Bisection reflective line search for sqpbox ％ [nx,nsig,alpha] = BIQPBOX(s,c,strg,x,y,sigma,l,u,... ％ oval,po,normg,DS,mtxmpy,data,H) ％ returns the new feasible point nx, the corresponding sign vector nsig, ％ and the step size of the unreflected step, alpha. ％ Copyright (c) 1990-98 by The MathWorks, Inc. ％ $Revision: 1.2 $ $Date: - BIQPBOX Bisection reflective line search for sqpbox [nx, nsig, alpha] = BIQPBOX (s, c, strg, x, y, sigma, l, u ,... oval, po, normg, DS, mtxmpy, data , H) returns the new feasible point nx, the corresponding sign vector nsig, and the step size of the unreflected step, alpha. Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date:
Date : 2025-12-27 Size : 1kb User : 张风
[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 : 2025-12-27 Size : 1kb User : 张风
[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 : 2025-12-27 Size : 164kb User : zy
[matlab] Simulationolinearblockcodes DL : 0: CRC纠错原理及其Matlab仿真,]CgC(Cyclical Redundancy c融jcin蛰糖薹l：冗务搜验碡是一砖赣要娉践往分缀码，通过多磺式聚法撩溅错误，是在数撼逶髂争数撩压缩中广泛应蘑的裣褥棱验的循环码。-CRC error correction theory and Matlab simulation,] CgC (Cyclical Redundancy c sugar into hibernation jcin Carex l: redundant works are found post-mortem one brick stone roller want Jiangxi Jian-ping up to the sub-code, through the many law-methyl-polybutadiene tease splashing errors are in a few struggle to shake a few Wei iliac tease Compression in a wide range of mattress should Comatus Prism code inspection cycle
Date : 2025-12-27 Size : 204kb User : oyy
[matlab] Auto_Measure_system DL : 0: 利用ccs环境、MATLAB环境、DSP（TMS320F2812)、被测对象和Agilient网络分析仪E5071B，构建一个自动测量系统。相信大部分人都知道基于NI公司的GPIB总线，可以实现自动测量，但NI公司的方案实在太昂贵，采用MATLAB能够大大降低成本。matlab与ccs之间基于RTDX协议进行数据交换，同时matlab基于TCP/IP协议与E5071B之间通信，源码说明如下：（1）RTDX_ok目录：matlab7.0代码，包含了一个用GUI实现的界面和相关的具体代码，特别是在其中实现了SCPI语言来对仪器进行控制。（2）TMS320F2812目录：包含ccs下的c代码，如果没有做过RTDX的应用，相信这个对你很有启发。-Use ccs environment, MATLAB environment, DSP (TMS320F2812), the measured object and Agilient network analyzer E5071B, construct an automatic measurement system. I believe that most people are aware NI' s GPIB-based bus, you can realize automatic measurement, but NI' s program is too expensive, the use of MATLAB can greatly reduce costs. ccs between matlab and RTDX protocol-based data exchange, while matlab based on TCP/IP protocol and communication between the E5071B, the source described as follows: (1) RTDX_ok directory: matlab7.0 code, contains a GUI implementation with the interface and specific code, especially in one of implementation of the SCPI language to control the apparatus. (2) TMS320F2812 directory: contains ccs of c code, if not done RTDX application, then I think it was very instructive for you.
Date : 2025-12-27 Size : 1.04mb User : lijian
[matlab] Digital_image_processing_using_matlab DL : 0: Digital image processing using matlab - Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins - 0130085197-Digital image processing using matlab- Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins- 0130085197
Date : 2025-12-27 Size : 36.91mb User : leo
[matlab] sellmeier_glass DL : 0: Program for Sellmeier equation of pure glass @20°C in the bandwidth 0.2-1.7 um. In the program n is the obtained refractivr index whereas l is the wavelength.
Date : 2025-12-27 Size : 3kb User : anto
[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 : 2025-12-27 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 : 2025-12-27 Size : 266kb User : 张海洋
[matlab] MATLAB1 DL : 0: 一些实用的MATLAB源程序，包括滤波、边缘检测-These MATLAB functions were created for the book Digital Image Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Hall, 2004, ISBN 0130085197. The functions supplement and extend the image processing functionality of MATLAB and the Image Processing Toolbox, both offered by The MathWorks.
Date : 2025-12-27 Size : 153kb User : 渡边麻友
[matlab] 116 DL : 0: c est un article concernant gps et boc modulation et aussi la poursuite et l aquisition
Date : 2025-12-27 Size : 489kb User : sousou
[matlab] mxTV DL : 0: 全变差图像处理Matlab程序，for the paper: "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods, Numerical Algorithms"-Software for Total Variation Image Reconstruction (for Matlab Version 7.5 or later) "mxTV" is a software package for image reconstruction based on the Total Variation model, and including denoising, inpainting, and deblurring. The work was carried out as part of the project CSI: Computational Science in Imaging, funded by the Danish Research Council for Technology and Production Sciences, and headed by Prof. Per Christian Hansen, DTU Informatics. The collaborators are DTU Informatics, Dept. of Electronic Systems at Aalborg University, and MOSEK ApS. The underlying algorithms are based on recently published first-order methods developed by Nesterov, tailored specifically to the image restoration problems. These methods have O(1/ε) complexity, where ε is the accuracy of the solution. The core computational routines are written in C, with a mex interface to Matlab. The algorithms and the software are described in the paper: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, Alg
Date : 2025-12-27 Size : 382kb User : l
[matlab] plot3k DL : 0: Generate a 3D point plot of L=(x,y,z) using the values in the vector c to determine the color of each point. If c is empty, then z (column 3 of L) is used to color the plot. The data points are sorted so that plot3 is only called once for each group of points that map to the same color. The upper and lower limits of the color range (and the z axis) can be defined with crange. This is useful for creating a series of plots with the same coloring. The colormap (but not the colorbar) is flipped upside down if crange is given as [max min] instead of [min max]. The figure handle is returned if an output argument is given.-Generate a 3D point plot of L=(x,y,z) using the values in the vector c to determine the color of each point. If c is empty, then z (column 3 of L) is used to color the plot. The data points are sorted so that plot3 is only called once for each group of points that map to the same color. The upper and lower limits of the color range (and the z axis) can be defined with crange. This is useful for creating a series of plots with the same coloring. The colormap (but not the colorbar) is flipped upside down if crange is given as [max min] instead of [min max]. The figure handle is returned if an output argument is given.
Date : 2025-12-27 Size : 4kb User : Jeff
[matlab] cblabel DL : 0: CBLABEL add a label to a colorbar c=(l,h)
Date : 2025-12-27 Size : 1kb User : vyvas
[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 : 2025-12-27 Size : 1kb User : 王飞
[matlab] tsp_pso DL : 0: ：针对粒子群优化算法易陷入局部极值的缺点，提出一种改进粒子群算法，该算法借鉴贪婪算法的思想初始化种群，利用两个种群同时寻优，并将遗传算法中交叉和变异操作引入其中，实现种群间的信息共享。-I n a l l u s i o n t o p a r t i c l e s wa r m o p t i mi z a t i o n b ei n g pr on e t o g e t i n t o l oc a l mi n i mu m， a n i mpr o v e d p a r t i c l e s wa r m o pt i mi z a t i o n a l g o r it h m i s p r o po s e d． Th e a l g o r it hm dr a ws o n t h e t hi n ki ng o f t he g r e e d y a l g o r it hm t o i n i t i a l i z e t he pa r t i c l e s wa l- n 1 ． Two s wa r ms a r e u s e d t o o pt i mi z e s y nc h r o no u s l y， a nd c r o s s o v e r a n d mu t a t i o n o p er a t o r s i n g e n e t i c a lg o r i t h m a r e i n t r o d uc e d i n t o t h e ne w a l g o r it h m t o r e a l i z e t h e s ha r i ng o f i n f o r m a t i o n a mo ng s wa r l T i S ．
Date : 2025-12-27 Size : 557kb User : xiaowei
[matlab] L-C DL : 0: 用于计算L_curve的计算程序，也包含了奇异值分解的部分程序段(it is used for the calculate the L-Curve)
Date : 2025-12-27 Size : 3kb User : Steven_Cheung
[matlab] 02. Matlab DL : 0: WAVEFAST Perform multi-level 2-dimensional fast wavelet transform. [C, L] = WAVE FAST (X , N, LP, HP) performs a 20 N-level FWT of image (or matrix) X with respect to decomposition filters LP and HP. [C, L] = WAVEFAST(X, N, WNAME) performs the same operation but fetches filters LP and HP for wavelet WNAME using WAVEFILTER. Scale parameter N must be less than or equal to 10g2 of the maximum image dimension. Filters LP and HP must be even. To reduce border distortion, X is symmetrically extended. That is, if X = [c1 c2 c3 ... cn] (in 1D), then its symmetric extension would be [ ... c3 c2 c1 c1 c2 c3 .. , cn cn cn-1 cn-2 ... ].
Date : 2025-12-27 Size : 3kb User : Hoang Cuong

« 12 3 »