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Size: 9216 |
Author: 胡志坤 |
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Description: 图像处理的程序实现，基于matlab，但是没有直接采用matlab的相关语句。 内容包括：1.图像灰度直方图的显示、灰度直方图的计算
2.图像的几何变换——水平镜像图、垂直镜像图、水平错切图、垂直错切图 3.图像的平滑、锐化滤波 4.图像的阈值分割 运行程序的main函数，根据提示进行操作即可
-image processing program, based on Matlab, But not directly related to the use of Matlab statement. Contents include : 1. The image histogram, Histogram calculation 2. Image geometry transformation-- mirroring the level map, vertical image map, the level of cutting the wrong map vertical Shear Figure 3. the image smoothing, sharpening filter 4. Image segmentation threshold operational procedures for the main function, According to the instructions can operate
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Size: 3072 |
Author: 张焕人 |
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Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image-- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
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Size: 113664 |
Author: mecal |
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Description: 1． 对给定灰度图（或自选图）进行模糊变换，建立模糊平面。给出变换方法和结果。
2． 对图像做模糊增强。给出原理方法和试验结果。
3． 对增强后的结果图做平滑处理。给出所选平滑因子和结果图。
4． 对图像进行模糊边缘检测，说明实现步骤，给出结果图。
-1. Right to set the gray level (or on-demand) of the fuzzy transformation, fuzzy plane. Given transform methods and results. 2. To enhance the image so fuzzy. Principle is given and the results. 3. To enhance the results map so smoothing. Smoothing factor is selected and the results map. 4. Fuzzy images of edge detection, the fulfillment of steps, given the results map.
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Size: 47104 |
Author: 廖鑫鹏 |
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Description: 用BP实现函数逼近 Matlab有如下特点：
1.编程效率高
例如：普通的矩阵计算用一般的高级语言，如C,Pascal等，需要十几至几十行语句，用matlab， 至多几行。
2.用户使用方便；
3.语句简单，内涵丰富；
4.高效方便的矩阵和数值计算；
5.方便的绘图功能，等等。
-BP realize function approximation using Matlab has the following characteristics: 1. Programming efficiency such as: the general matrix calculated using an ordinary high-level languages such as C, Pascal, etc., need more than a dozen to a few line statements, using matlab, up to a few lines. 2. The user easy to use 3. Statement is simple, rich 4. Efficient and convenient matrix and numerical calculation 5. Convenient mapping functionality, and so on.
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Size: 1024 |
Author: |
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Description: The XML Toolbox converts MATLAB data types (such as double, char, struct, complex, sparse, logical) of any level of nesting to XML format and vice versa.
For example,
>> project.name = MyProject
>> project.id = 1234
>> project.param.a = 3.1415
>> project.param.b = 42
becomes with str=xml_format(project, off )
"<project>
<name>MyProject</name>
<id>1234</id>
<param>
<a>3.1415</a>
<b>42</b>
</param>
</project>"
On the other hand, if an XML string XStr is given, this can be converted easily to a MATLAB data type or structure V with the command V=xml_parse(XStr).
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Size: 214016 |
Author: leiming691128 |
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Description: 一种比较好用的边缘检测方法CORNER Find corners in tensity image.
％ CORNER works by the following step:
％ 1. Apply the Canny edge detector to the gray level image and obtain a
％ binary edge-map.
％ 2. Extract the edge contours from the edge-map, fill the gaps in the
％ contours.
％ 3. Compute curvature at a low scale for each contour to retain all
％ true corners.
％ 4. All of the curvature local maxima are considered as corner
％ candidates, then rounded corners and false corners due to boundary
％ noise and details were eliminated.
％ 5. End points of line mode curve were added as corner, if they are not
％ close to the above detected corners.-A more useful edge detection method CORNER Find corners in tensity image. CORNER works by the following step: 1. Apply the Canny edge detector to the gray level image and obtain a binary edge-map. 2. Extract the edge contours from the edge-map, fill the gaps in the contours. 3. Compute curvature at a low scale for each contour to retain all true corners. 4. All of the curvature local maxima are considered as corner candidates, then rounded corners and false corners due to boundary noise and details were eliminated. 5. End points of line mode curve were added as corner, if they are not close to the above detected corners.
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Size: 78848 |
Author: 林蛋大 |
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Description: 计算Gabor滤波器函数.
Gabor1.m:4个方向的Gabo滤波器模板的图像显示.
Gabor2.m:4个方向的Gabor滤波器对lena进行滤波的顶层调用模块.
gabor.m:绘制一个Gabor滤波器的空域和频域函数图.
compute.m:计算Gabor滤波器函数（要被上面3个模块调用，这3个模块彼此独立）-Gabor filter function calculation. Gabor1.m: 4 directions Gabo filter template image display. Gabor2.m: 4 directions of the Gabor filter for filtering lena call top-level module. Gabor.m: Drawing of a Gabor filter browser s airspace and frequency domain function Fig. compute.m: Calculation of Gabor filter function (to be above three modules call, this three modules independent of each other)
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Author: 赵立桐 |
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Description: 这是一本很少见的中文matlab帮助手册，特别对于点运算等入门级知识进行了详解，大家共享吧！-This is a very rare Chinese matlab help manual, particularly for entry-level point of computing, such as the detailed knowledge, share it!
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Size: 1028096 |
Author: 吴 |
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Description: 1.对染噪doppler信号进行小波包3层分解：分解层次j=1,2时，都是信号的概貌；当j=3时，反映概貌的已几乎不含噪声分量，而其它噪声分量的幅值已很小。
2.对加噪Blocks信号进行不同阈值及不同阈值的使用方式降噪。
-1. On noise pollution doppler signal decomposition of wavelet packet Layer 3: decomposition level j = 1,2, are the signal profiles when j = 3 to reflect the general picture has been almost non-noise component, while other noise components amplitude has been very small. 2. Blocks of noise signals of different thresholds and different thresholds for the use of noise reduction methods.
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Author: |
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Description: 电子通信系统的建模与仿真
第7章 通信系统差错控制仿真
7.1 缩短卷积码
7.2 有缩短卷积码加交织的差错控制系统研究
7.3 自适应均衡系统（LMS算法）
7.4 迭代译码的级联卷积码
-Electronic communications system modeling and simulation of Chapter 7 error control communication systems simulation 7.1 shortened 7.2 convolutional code convolutional code increases have shortened intertwined system of error control 7.3 adaptive equalization system (LMS algorithm) Iterative Decoding of level 7.4 convolutional codes in conjunction
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Size: 3629056 |
Author: 军军 |
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Description: MATLAB入门教程
1．MATLAB的基本知识
2．数值分析
3.基本xy平面绘图命令
4.三维网图的高级处理
-MATLAB Tutorial 1. 2 of the basic knowledge of MATLAB. Numerical Analysis 3. The basic drawing commands xy plane 4. Three-dimensional map of the high-level processing ...
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Size: 128000 |
Author: 黄虎 |
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Description: svpwm of open loop three level inverter
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Size: 47104 |
Author: gogu |
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Description: 产生长度为1000的标准正太分布的随机信号，画出时域波形及频谱；
采用u=255的非均匀PCM编码，每符号为8bit，画输入-输出关系图；
计算信号量化噪声比（SQNR）；
信道误码率为10-3；
解码，并画出u律反变换后的信号时域波形及频谱。
扩展要求：
采用均匀PCM、量化级数可变、信道误码率可变。
- have a standard length of 1000 is too random signal distribution, draw time-domain waveform and frequency spectrum u = 255 using the non-uniform PCM encoding, each symbol for 8bit, drawing input- output relationship diagram calculated quantization noise signal than (SQNR) channel bit error rate of 10-3 decoder, and law to draw u the signal after the inverse transform time-domain waveform and frequency spectrum. Expansion of the requirements: uniform PCM, quantization level variable, a variable channel bit error rate.
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Size: 2048 |
Author: louzhu |
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Description: npc 3-level inverter spwm matlab
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Size: 16384 |
Author: dkpark |
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Description: 三篇关于MATLAB，模糊PID控制，液位控制与仿真的文章-3 on MATLAB, Fuzzy PID control, level control and simulation of the article
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Author: 410106925 |
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Description: 三电平级联npc逆变器的空间矢量调制的matlab仿真策略-3-level npc inverter svpwm model
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Size: 28672 |
Author: leavy |
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Description: 三电平SVPWM算法逆变器，基于MATLAB例子，自己做了修改-Three-level inverter SVPWM algorithm, based on MATLAB examples, make changes
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Size: 18432 |
Author: jack |
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Description: 下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
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Author: asdsdaa
|
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Description: 物元分析法由我国数学家蔡文在 20 世纪 80 年代提出． 应用物元法建立多指标评价模型，可以针对复杂问题建立形象化模型，定量化得出评价结果，从而较完整、准确地反映事物的综合水平。利用matlab编程，进行如下步骤计算：1、待判物元的确定；2、经典域、节域的确定；3、关联函数；4、综合关联度(Matter-element analysis method was put forward by Chinese mathematician Cai Wen in 1980's. Applying matter-element method to establish multi-index evaluation model can establish visualization model for complex problems and quantify the evaluation results, so as to reflect the comprehensive level of things more completely and accurately. Using MATLAB programming, the following steps are calculated: 1. determination of the subject element to be judged; 2. determination of classical domain and node domain; 3. correlation function; 4. comprehensive correlation degree)
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Author: 木易人左 |
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