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Description: 系统基本功能要求：
1、制图功能
作为一个功能较为完善的建模工具，制图功能应该是最不可或缺的。本建模工具可以实现对于直线、连续直线、多边形区域、圆、圆形区域、圆弧、字符（包括汉字和英文字母）Beizer曲线、B样条曲线等图形元素的较精确绘制，能够根据工业流程实现流程的图示节点表示，并实现包括添、删、移动、连接、清除流程图示节点等编辑功能，和对流程图示节点的仪器功能参数进行设置。对于初级用户而言，操作比较简单，无需太多的学习时间即可进行图形绘制。
2、存储功能
拥有制图功能，同样，建模工具的存储功能也是必不可少的。否则，制图就失去了其应有的意义。本建模工具可将数据结果以特定格式存储在相关数据库中，免除了纸张存储的繁琐和不便，并且比纸张存储更安全可靠。
-basic system functions : one, mapping function as a function of better modeling tools, mapping is the most indispensable. The modeling tools can be achieved for the straight, continuous line, polygon regional round, circular area, arc, characters (including Chinese characters and English letters) Beizer curve, B-spline curves and other graphical elements in a more accurate rendering, according to industrial processes to achieve process icon nodes, including Tim and achieve cut, mobile, connectivity, Picture shows node removal processes such as editing, and the process equipment icon nodes function parameters set. For the primary users, the operation simple, without too much study time will be able to proceed graphics rendering. 2, storage functionality with mapping functions, and similarly
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Description: 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
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Author: 王立钊 |
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Description: 没有采用短暂分离的方法的GP方法求关联维
G-P算法计算关联维的 Matlab 程序(mex版)
文件说明：
1、GP_Algorithm_main.m - 程序主文件
2、LorenzData.dll - 产生Lorenz离散数据
3、normalize_1.m - 数据归一化
4、correlation_interal.c - 计算关联积分的源代码文件
5. correlation_interal.dll-计算关联积分的mex文件
没有采用短暂分离的方法，该软件的C语言源文件使用的是路振波提供的
关联积分算法，在此说明和表示感谢！
mex文件为matlab7.0版本，使用VC6.0的c语言编译器编译。
-not adopt short-term separation of the GP method for the correlation dimension G-P method to calculate the correlation dimension of Matla b (Mex version) documents : 1. GP_Algorithm_main.m-2 main document procedures, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-after all, one of the four, correlation_interal.c-calculated correlation integral source code documentation 5. corr elation_interal.dll-calculated the correlation integral Files document does not adopt short-term separation The method, the software in C language source document used by Lu Zhen-bo is the correlation integral algorithm, In this note and expressed thanks! Matlab7.0 Mex version of the document, use Visual C language compiler compiler.
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Author: 许小可 |
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Description: Ma tla b 是当今使用最为广泛的数学软件，它具有相当强大的数值计算、数据处理、系统
分析、图形显示、甚至符号运算功能，是一个完整的数学平台，但是它不能实现端口操作和
实时控制Borland C + +Builder是一种新颖的可视化编程语言，可方便实现交互界面、数据
采集和端口操作等，但是它在数值处理分析和算法工具等方面，效率远远低于Matlab语言-Ma tla b is the most widely used mathematical software, it is quite powerful numerical calculation, data processing, analysis, graphics, or even symbolic operation, is a complete mathematical platform However, it can not be achieved port operation and real-time control Borland C Builder is an innovative visualization programming language, will facilitate the realization of interactive interface, data acquisition and the port operation, However, in numerical analysis tools and algorithms, the efficiency is far below the Matlab
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Author: lijing |
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Description: 一般情况下，我们都是在MATLAB命令行或DOS命令行下编译MEX程序。 所用的命令就是：mex filename.c 这有很多不方便的地方：
a. 虽然mex也可以编译C++的mex程序，但是它的主框架仍是C的 a. 当程序有多个模块时，需要多次使用mex命令，操作很麻烦
b. 不能利用VC特有的ClassWizard自动创建和维护类
c. 不能用MFC类库编写应用程序
d. 不能方便地进行类似VC的项目管理
本文详细解说如何在IDE中编译MEX程序-Under normal circumstances, we are all in the MATLAB command line or DOS command line program to compile MEX. Command is used by: mex filename.c This has a lot of inconvenient places: a. Although the mex can also compile C++ The mex program, but it is still the main frame C of a. When the procedure has a number of modules the need to repeatedly use the mex command, the operation is cumbersome b. Can not use VC-specific ClassWizard automatically create and maintain the category c. can not use MFC class library to write applications easily d. should not conduct a similar project management VC a detailed explanation of how this article IDE compiling MEX procedures
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Author: Dean |
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Description: 可以进行曲线回归拟合算法的四参数算法。函数为 y = (a-d)/(1+(x/c)^b) +d . ec50.m 为其主要函数-Can curve fitting algorithm of the four-parameter algorithm. Function y = (ad)/(1+ (X/c) ^ b)+ D. Ec50.m its main function
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Author: 2213 |
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Description: 实验内容：
1．求下列3个模板的频率响应，并显示其三维图形；选择一幅图
像，利用这3个模板分别对该图像进行卷积运算，将卷积运算
获得的图像与原始图像进行比较，说明各模板的类型以及模板
（b）、（c）的区别与联系。
2. 选择一幅图像，对其进行离散Fourier变换，仅利用其相位谱重构原图像，然后仅利用其振幅谱重构原图像，比较实验结果；
选择两幅不同类型的图像，分别进行Fourier变换，交换二者的相位谱后求Fourier反变换，比较实验结果，说明图像Fourier相位谱的重要性。-Experimental contents: 1. Template for the following three frequency response and to show its three-dimensional graphics select an image using the three templates, respectively, of the image convolution operation, the convolution operation to obtain the images were compared with the original image to illustrate the template the type of template (b), (c) the difference with the contact. 2. Select an image, its discrete Fourier transform, only to use its phase spectrum remodeling the original image, and then only the use of its amplitude spectrum reconstruction of the original image to compare experimental results choice of two different types of images, respectively Fourier Transform, the exchange between the two after the phase spectrum for Fourier Transform, compare experimental results to illustrate the image of the importance of Fourier phase spectrum.
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Author: syq |
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Description: This routine draws Barnsley s fern, The transformations for the fern are each in the form T(x,y = (a*x+b*y+e, c*x+d*y+f). If the probability that a particular transformation T is selected is p, you can characterize each transformation by providing the values of a,b,c,d,e,f, and p, in that order. -This routine draws Barnsley s fern, The transformations for the fern are each in the form T (x, y = (a* x+ B* y+ E, c* x+ D* y+ F). If the probability that a particular transformation T is selected is p, you can characterize each transformation by providing the values of a, b, c, d, e, f, and p, in that order.
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Author: allenzhu |
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Description: C++BUILDER与MATLAB实现混合编程源代码-C++ BUILDER realize mixed language programming with the MATLAB source code
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Author: 魏建明 |
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Description: Matlab实现： Erlang B model(M/M/n/n)与 Erlang C model排队系统的模拟，并画出阻塞概率(P)与负载(A=lamda/miu in Erlang)的关系图。用法：运行RunMe-Matlab achieve: Erlang B model (M/M/n/n) and the Erlang C model simulation queuing system, and draw blocking probability (P) and load (A = lamda/miu in Erlang) the relationship between the map. Usage: run RunMe
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Author: Zheng Xiao |
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Description: DTMF(双音多频)是用两个特定的单音频组合信号来代表数字信号的一种编码技术。两个单音的频率不同，代表的数字或实现的功能也不同。可采用8种频率代表电话机上的16个按键，10个数字键0~9和6个功能键*、#、A、B、C、D。具体的频率组合见参考书。要求：
(1) 根据键盘输入的符号，利用MATLAB产生对应的DTMF信号；(2) 分别利用FFT算法和Goertzel算法计算该DTMF信号的频谱并画出频谱图；(3) 根据频谱图确定DTMF信号所代表的符号是否和输入的符号一致。
-DTMF (Dual Tone Multi-Frequency) is a single with two specific combination of audio signals to represent a kind of digital signal coding techniques. Two monosyllabic different frequency, on behalf of the numbers, or the realization of the functions are also different. Eight kinds of frequency of use on behalf of telephone on the 16 keys, 10 numeric keys 0 ~ 9 and 6 function keys*,#, A, B, C, D. The frequency of specific composition of reference books. Requirements: (1) According to the keyboard input of symbols, the use of MATLAB have a corresponding DTMF signal (2), respectively, using FFT algorithm and the Goertzel algorithm DTMF signal spectrum and frequency spectrum draw (3) According to DTMF signal frequency spectrum to determine represented by symbols and input symbols unanimously.
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Author: wyyy |
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Description: 假设信源符号为{a,b,c,d}，这些符号出现的概率分别为{0.2，0.2，0.4，0.2}写出对信源符号bdadc进行算术编码和解码的过程。-Assumptions for the source symbols (a, b, c, d), the probability of emergence of these symbols were written on (0.2,0.2,0.4,0.2) bdadc source symbols for arithmetic coding and decoding process.
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Author: 任彦博 |
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Description: 印度GURUNANAK ENGINEERING COLLEGE数字信号处理实验室的DSP+c+Matlab联合编程手册-DIGITAL SIGNAL PROCESSING LAB (IV-I SEM)
INDEX
1. Architecture of DSP chips-TMS 320C 6713 DSP Processor
2. Linear convolution
3. Circular convolution
4. FIR Filter (LP/HP) Using Windowing technique
a. Rectangular window
b. Triangular window
c. Kaiser window
5. IIR Filter(LP/HP) on DSP processors
6. N-point FFT algorithm
7. Power Spectral Density of a sinusoidal signals
8. FFT of 1-D signal plot
9. MATLAB program to generate sum of sinusoidal signals
10. MATLAB program to find frequency response of analog
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Author: wangjin |
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Description: 双音多频 DTMF（ Dual Tone Multi-Frequency ）信号，是用两个特定的单
音频率信号的组合来代表数字或功能。在 DTMF 电话机中有 16 个按键，其中
10 个数字键 0 — 9 ， 6 个功能键 * 、 # 、 A 、 B 、 C 、 D 。其中 12
个按键是我们比较熟悉的按键，另外由第 4 列确定的按键作为保留，作为功能
键留为今后他用。 根据 CCITT 建议，国际上采用 697Hz 、 770Hz 、 852Hz 、
94lHz 低频群及 1209Hz 、 1336Hz 、 1477Hz 、 1633Hz 高频群。从低频群和高频群任意各抽出一种频率进行组合，共有 16 种组合，代表 16 种不同的数
字键或功能，每个按键唯一地由一组行频和列频组成-DTMF DTMF (Dual Tone Multi-Frequency) signal, is one of two specific
A combination of audio frequency signals to represent the number or function. In the DTMF telephone has 16 buttons, which
10 number keys 0- 9, 6 function keys*,#, A, B, C, D. 12 of them
Keys is more familiar with the keys, another set from the first four buttons as retention of a functional
Key left for future uses. According to CCITT recommendations, the international use of 697Hz, 770Hz, 852Hz,
94lHz low frequency group and 1209Hz, 1336Hz, 1477Hz, 1633Hz frequency group. From the low group and high-frequency group out of any one frequency for each combination, a total of 16 combinations, the number of representatives of 16 different
Character or function keys, each key uniquely by a group composed of row frequency and column frequency
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Author: 李小勇 |
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Description: function total_length=text_length_num(file_cell)
total_length=0
for i=1:length(file_cell)
y1=char(file_cell(i))
for j=1:length(y1)
if(y1(j)== > )
got=j-3
end
end
y=
for k=1:got
y(k)=y1(k)
end
[a,b,c,d]=fileparts(y)
FileName=[b c]
fid=fopen(y)
total_length_char=0
while 1
tline = fgetl(fid)
if ~ischar(tline), break,-function total_length=text_length_num(file_cell)
total_length=0
for i=1:length(file_cell)
y1=char(file_cell(i))
for j=1:length(y1)
if(y1(j)== > )
got=j-3
end
end
y=
for k=1:got
y(k)=y1(k)
end
[a,b,c,d]=fileparts(y)
FileName=[b c]
fid=fopen(y)
total_length_char=0
while 1
tline = fgetl(fid)
if ~ischar(tline), break,
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Author: thinkingbig4 |
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Description: 计算Erlang B,C 模型中阻塞率与输入负载随服务器数量变化的数值关系并绘图。
模拟一个M/M/k排队系统。
该资料为通信系统排队理论matlab实验内容。-Using the iterative scheme, calculate the blocking probability of the Erlang B and C model. Draw the relationship of the blocking probability and offered traffic while sever number varies. Simulate a M/M/k queue system with input parameters of λ, μ, k
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Author: Aurora |
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Description: 桨叶诱导速度随安装角变化规律，桨叶诱导速度随安装角变化规律-matlba MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB a b c d e f g h i
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Author: 李彬 |
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Description: 这是关于LDPC信道编码模块设计的程序
打开源程序，先运行gengrate_h.m程序，陆续将码长设置为756bit，列重设置为3，行重设置为9。在Workspace中同时将H、A、B、C、D、E、Hget、Fget、g、Tget这是个变量选择另存为encode_in.mat 格式。再运行main_encode.m进行编码，主程序运行后，在当前目录下，自动生成编码结果文件“encode—out.mat”，这将作为下一次扩频调制仿真实验的的输入信号。最后分别查看Workspace中的变量s（编码前数据）和xyuan（编码后数据）的波形。
对比后，可以看出编码前的数据码片长度为504bit，编码后的码片数据长度为756bit。编码效率=编码前码片长度/编码后码片长度=2/3。-This is about the LDPC channel coding module design process
Open source, first run gengrate_h.m program, phasing out the code length is set to 756bit, column re-set to 3, line weight is set to 9. In the Workspace in the same time, H, A, B, C, D, E, Hget, Fget, g, Tget This is a variable select Save As encode_in.mat format. Then run main_encode.m encoding, the main program running in the current directory, the results of automatically generated code file "encode-out.mat", which will serve as the next simulation of the spread spectrum modulation input signal. Finally, the variables were View Workspace in s (before encoding data) and xyuan (encoded data) waveform.
After comparison, we can see the data before encoding chip length of 504bit, encoded data length of chip 756bit. Coded before coding efficiency = chip length/length of the encoded chip = 2/3.
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Author: 吴健 |
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Description: 解凸规划的Matlab工具箱CVX，包含使用文档
如：
m = 20; n = 10; p = 4;
A = randn(m,n); b = randn(m,1);
C = randn(p,n); d = randn(p,1); e = rand;
cvx_begin
variable x(n)
minimize( norm( A * x - b, 2 ) )
subject to
C * x == d
norm( x, Inf ) <= e
cvx_end
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Author: 943163808@qq.com |
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Description: matlab进行偏最小二乘法算法对多变量和单变量的用法(function [T,P,W,Wstar,U,b,C,B_pls,...
Bpls_star,Xori_rec,Yori_rec,...
R2_X,R2_Y]=PLS_nipals(X,Y,nfactor))
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Author: xixixi
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