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MATLAB7.0
主要介绍了matlab7.0的基础知识和使用技巧包括（数值运算，符号运算，图形处理）及强大的编程功能和各种实际应用(It mainly introduces the basic knowledge and skills including the use of (numerical computation, symbolic computation, graphics processing) and a powerful programming features and a variety of practical applications)
- 2009-05-04 22:52:27下载
- 积分：1
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recoverbits
past when the sample data was collected, the future predictions can
also be expected to be right.
Application of machine learning methods to large databases is called
data mining. The analogy is that a large volume of earth and raw material
is extracted from a mine, which when processed leads to a small
amount of very precious material similarly in data mining, a large volume
of data is processed to construct a simple model with valuable use,
for example
- 2011-05-08 00:20:53下载
- 积分：1
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Congestion-and-Price-Prediction-Under-Load-Variat
Congestion and Price Prediction
Under Load Variation BY MAtlab and simulink
- 2015-02-04 20:59:04下载
- 积分：1
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16QAM
实现AWGN信道16QAM调制、解调及误码率分析(AWGN channel to achieve 16QAM modulation, demodulation and BER Performance Analysis)
- 2010-10-27 20:50:57下载
- 积分：1
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simplecharrec(III)-update
charachter recognitiion
- 2009-11-25 06:15:46下载
- 积分：1
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CODING
A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm
- 2009-12-16 13:45:52下载
- 积分：1
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MMA
说明： 基于matlab的MMA算法仿真程序，给出仿真前后效果仿真图(Based on the MMA algorithm matlab simulation program, the simulation before and after the effect of simulation map)
- 2021-04-20 21:18:51下载
- 积分：1
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classify
Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.
- 2012-05-25 22:21:28下载
- 积分：1
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LQGmohsen1
lqg controller for uav
- 2011-09-20 13:53:06下载
- 积分：1
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jpegcompression
I need matlab codes on image processing
- 2015-03-30 18:15:35下载
- 积分：1
