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14.6-7
说明： 《MATLAB时频分析技术》例题matlab编程实现第十四章14.6-14.7(err)
- 2008-09-23 15:34:40下载
- 积分：1
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sim4_n
这是个matlab M文件，利用其可拟合不同波长下的折射率(This is a matlab M documents, which can be fitted using a refractive index different wavelengths)
- 2013-11-08 20:53:34下载
- 积分：1
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DTMF
DTMF报告和代码，基于simulink仿真，通过GUI调用m代码和simulink，可加噪音。(DTMF reports and code, based on simulink simulation, call m code and simulink through GUI, can add noise.)
- 2014-01-08 14:37:15下载
- 积分：1
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车牌识别系统MATLAB源代码完整
说明： clc; clear all; close all; [filename, pathname, filterindex] = uigetfile({'*.jpg;*.tif;*.png;*.gif','All Image Files';... '*.*','All Files' }, '选择待处理图像', ... 'images\01.jpg'); file = fullfile(pathname, filename);%文件路径和文件名创建合成完整文件名 id = Get_Id(file);%得到file中的所有对象 Img = imread(file);%根据路径和文件名读取图片到Img [Plate, bw, Loc] = Pre_Process(Img); % 车牌区域预处理 result = Plate_Process(Plate, id); % 车牌区域二值化处理 % 寻找连续有文字的块，若长度大于某阈值，则认为该块有两个字符组成，需要分割 bw = Segmation(result); words = Main_Process(bw); % 主流程处理 Write_Mask(words, id); % 写出到模板库 str = Pattern_Recognition(words); % 识别(Mike is a student. He is my good friend. He is busy at the weekend. He is going to read a magazine this Saturday morning. He is going to go to the zoo this Saturday afternoon. He is going to buy a book this Sunday morning. He is going to learn Kungfu this Sunday afternoon. He is going to watch TV this Sunday evening.)
- 2017-08-13 02:35:37下载
- 积分：1
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psmf1
coding for progressive switching median filter
- 2010-03-08 18:05:54下载
- 积分：1
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MBP
神经网络修改BP辨识算法，用于辨识复杂的非线性系统，相对传统BP算法，具有计算快等优点(Modify BP neural network recognition algorithm for identification of complex nonlinear system, compared to the traditional BP algorithm has the advantages of quick calculation)
- 2013-09-23 10:43:09下载
- 积分：1
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redObjectTrack
red object tracking..
- 2012-10-20 19:54:55下载
- 积分：1
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lms
LMS滤波器示例程序，在TURBOC中运行可图形显示的C程序(lms filet test demo)
- 2015-04-02 10:21:56下载
- 积分：1
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analyse-of-systems
使用matlab编写的图形用户界面（GUI），用于测试自动控制中连续系统和离散系统的各项性能，比较基础。(Prepared using matlab graphical user interface (GUI), used to test the automatic control of continuous systems and discrete systems of the performance basis for comparison.)
- 2011-04-22 19:55:17下载
- 积分：1
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nlms
we will be addressing the major concerns in telecommunication nowadays which are channel equalization and echo cancellation using different adaptive algorithms in order to identify the most efficient methodology. There are a number of conventional algorithms available in literature and every algorithm has its own properties, however the aim of every adaptive algorithm is to achieve minimum mean square error at a high rate of convergence and with less complexity. The experimental results prove that Normalized Least Mean Square algorithm (NLMS) is the best for channel equalization
- 2012-03-25 19:17:28下载
- 积分：1
