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Description: matlab编写的[数据挖掘]分类算法Competitive_learning算法。-Matlab prepared by the [data mining] classification algorithm Competitive_learn ing algorithm.
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Author: 王聪 |
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Description: LVQ学习矢量化算法源程序
This directory contains code implementing the Learning vector quantization
network. Source code may be found in LVQ.CPP. Sample training data is found
in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
LVQ program accepts input consisting of vectors and calculates the LVQ
network weights. If a test set is specified, the winning neuron (class) for
each neuron is identified and the Euclidean distance between the pattern and
each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
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Author: 张伟华 |
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Description: The MATLAB and Praat code files for performing voice conversion.
By: Matthew Hutchinson-Praat code files and perform for ing voice conversion. By : Matthew Hutchinson
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Size: 6144 |
Author: 海盗 |
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Description: 数字水印的嵌入和检测，dct，
作者Mao Li
Purpose:an algorithm to achieve the embeding watermarking to a image by
dct bloking and hvs,then detect the watermarking by comparability.
-digital watermark embedding and detection, Copy, the writer Mao Li Purpose : an algorithm to achieve the embeding watermark ing to a image by Extra bloking and hvs. then detect the watermarking by comparability .
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Author: awen |
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Description: Beginning with an introduction to 802.11b in general, 802.11 Security gives you a broad basis in theory and practice of wireless security, dispelling some of the myths along the way. In doing so, they provide you with the technical grounding required to think about how the rest of the book applies to your specific needs and situations. If you are a network, security, or systems engineer, or anyone interested in deploying 802.11b--based systems, you ll want this book beside you every step of the way.-Beginning with an introduction to 802.11b in general, 802.11 Security gives you a broad basis in Theor y and practice of wireless security, dispelling some of the myths along the way. In do ing so, they provide you with the technical grounding r equired to think about how the rest of the book ap plies to your specific needs and situations. If you are a network, security, or systems engineer, or anyone interested in deploying 802.11b--ba sed systems. you ll want this book beside you every step of the way.
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Author: 秦 |
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Description: Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to
％ Baddour s work: "Autoregressive modeling for fading channel simulation"-Program to simulate using Rayleigh fading a p-th order autoregressive model AR (p) accord % ing to Baddour's work : "autoregressive modeling for fading channel's imulation "
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Author: cqj |
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Description: ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the foreground from the background with nonuniform illumination-ADAPTIVETHRESHOLD An adaptive threshold ing algorithm that separates the foreground fr om the background with nonuniform illuminatio n
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Description: 目标跟踪源程序 开发环境matlab
Those are a set of matlab functions for the tracking of a planar patch
using direct grey levels information (a.k.a. SSD).-target tracking source development environment Matlab Those are a set of matla b functions for the tracking of a planar patch us ing direct information gray levels (a.k.a. SSD ).
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Author: 王国良 |
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Description: There is an example of how to use the LDPC encode/decode with AWGN
channel model in files .\ldpc_decode.m and .\GFq\ldpc_decode.m.
There are a few parity check matrices available in the code but
you can use other matrices provided you have enough memory to load
them. I suggest checking out matrices in Alist format available on
David MacKay s web site.You will need to have access to a MEX compiler
to be able to use a few functions written in C.
LDPC的仿真代码-There is an example of how to use the LDPC enc ode/decode with AWGN channel model in files. \ l dpc_decode.m and. \ GFq \ ldpc_decode.m. There are a few parity check matrices available in the code but you can use other matrices provided you have enough memory to load them. I suggest check ing out matrices in Alist format available on Da vid MacKay's web site.You will need to have acces MEX's to a compiler to be able to use a few function 's written in C. Simulation LDPC code
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Author: 王文 |
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Description: Author: Fahd Ahmad Abbasi
Summary: Matches two pictures given as arguments.
MATLAB Release: R13
Required Products: Image Processing Toolbox
Description: The function takes two images as argument and using edge detection checks whether they are the same or not...a cool and simple code which can be used in security systems. The level at which the two pictures should be matched can be controlled. -Author : Fahd Ahmad Abbasi Summary : Matches two pictures given as arguments. MATLAB B. Release : R13 Required Products : Image Processing Toolbox Description : The function takes two images as argument and us ing edge detection checks whether they are the s ame or not ... a cool and simple code which can be u sed in security systems. The level at which the t wo pictures should be matched can be controlled .
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Author: Jallon |
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Description: In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.-In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.
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Author: 上将 |
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Description: 特定人孤立词语音识别中，最为简单有效的方法是采用动态时间弯折(dynamictimewa甲ing，DTw)算法。该算法基于动态
规划(DP)的思想，解决T发音长短不一的模板匹配问题，是语音识别中很成功的一种匹配算法。
-ion，ieh15basedondyniegramming(DP).xtsolvestheproblemoftemplatemateh.
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Author: lizheng |
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Description: 主要包括免疫识别、免疫学习、免疫
记忆、克隆选择、个体多样性、分布式和自适应等,-It is the real engineering app licat ion s that draw the b road at ten2
t ion of compu ter scien t ist s to recogn ize the great po ten t ial of A IS, hereby som e impo rtan t app li2
cat ion f ields as info rm at ion secu rity, pat tern recogn it ion, op t im izat ion, m ach ine learn ing, data
m in ing, robo t ics, diagno st ics and cybernet ics etc. are review ed
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Author: 小蓝 |
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Description: 并行磁共振成像经典算法sense，很不错，对于研究并行磁共振成像绝对有帮助-New theoretical and practical concepts are presented for considerably enhancing the performance ofmagnetic resonance imag-ing (MRI) by means of arrays of multiple receiver coils.
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Author: awen |
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Description: ,在MATLAB环境下对
学生自主学习成绩决策表进行了求解,分析了该决策表的上近似集、下近似集、不可分辨关系、约简、核集、属性依赖度的概念,从而
在原始数据的基础上得出了条件属性与决策属性间的关系。
-The knowledge theory based on rough set can help to simplify the knowledge proceeded from originaldata. In the paper it intro-
duces the rough set theory and its principle algorithms. MATLAB Rough SetToolbox is programmed to analyze the decision table of self-learn-
ing system from students score database.The concepts such as the upper approximation, lower approximation, indiscernibility relation, reduc-
tion, core set, and attribute-importance are analyzed based on the score database table.Thus, the relations between condition attributes and de-
cision attributes of the score database are obtained on the basis of original data.
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Author: 水晶 |
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Description: 求解TSP和MTSP的混合遗传算法_英文_-Abstract:M any app licat ions are invo lved w ith mult ip le salesmen each of w hom visits a subgroup
cit ies and returns the same start ing city. The to tal length of all subtours is required to be m ini2
mum. Th is is calledM ult ip le T raveling Salesmen P roblem (M TSP). There are various heurist ic
methods to obtain op t imal o r near2op t imal so lut ions fo r the TSP p roblem. But to the M ult ip le
T raveling Salesmen P roblem , there are no t much app roaches to so lveM TSP. In th is paper, a hy2
brid genet ic algo rithm to so lve TSP and M TSP is p resented. Th is algo rithm combines GA and
heurist ics. N umerical experiments show that the new algo rithm is very efficient and effect ive.
Key words: TSP op t im izat ion genet ic algo rithm 2op t
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Author: Notics |
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Description:
本文在分析城市交通信号控制研究现状和交叉口交通信号控制原理、评价方
法的基础上，设计了单交叉口交通信号两级模糊控制系统。分级模糊控制能有效
减少模糊规则数，易于提取模糊规则，适合于交通状况复杂的城市交叉口交通信
号控制。但它存在难以由人工合理定义全部模糊隶属度函数的问题。为此本文进
一步采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化。本文提出的方
法具有分级模糊控制的优点，同时可以使模糊隶属度的选取更为合理，获得更好
的控制效果。对一个四相位单交叉口，利用MATLAB在不同的交通条件下进行
了仿真，并利用交通仿真软件PARAMICS进行了可视化仿真。仿真结果表明该
方法能有效降低通行车辆在交叉口的平均等待时间，明显优于传统控制方法-After analyzing the city-traffic developments,the grade crossings control theory
its method of evaluation,the paper designs a traffic signal two-stage fuzzy control
tem for single intersection.Two-stage fuzzy controller,which is easy to acquire
zy rules and can greatly decrease the number of fuzzy rules,is very suitable to
plex urban intersection control.But it still presents a difficulty for deciding all the
bership functions correctly only by human experience.Therefor,to solve this
blem,a technique using genetic algorithm to modify its fuzzy membership
ctions is proposed.This method not only possesses the advantages of hierarchical
zy control,but also can change its membership functions adaptively to an optimal
ing in different traffic situations as well,and in this way the currency power of the
an intersection is improved.For a single urban intersection with four-phase,
ulation of different traffic condition is processed by using MATLAB.Moreover,
ble simulation is proce
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Author: 刚子 |
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Description: ：针对发酵过程中生物参数难以实时在线测量的问题，建立了用于生物参数状态预估的
支持向量机软测量模型。考虑到该支持向量回归(SVR)模型的复杂性和冷化特征取决于其三
个参数 ，c， 能否取到最优值，采用粒子群优化(PSO)算法实现对参数 ，c， 的同时寻优。在
此基础上，以饲料用 ．甘露聚糖酶为对象，建立了基于PSO—SVR的发酵过程产物浓度状态预估
模型。发酵罐控制结果表明：该模型具有很好的学习精度和泛化能力，可实现对 ．甘露聚糖酶
产物浓度的实时在线预估。-In view of the hardship to get real—time and on—line biological parameters in fermentation
process，a soft sensor model based on support vector machines is established for estimating the bio—
logical parameters．The complexity and generalization performance of the support vector regression
(SVR)model depend on a good setting of the three parameters ，c， ．An algorithm called parti—
cle swarm optimization(PSO)is applied to optimize the three parameters synchronously．Based on
the proposed method，a PSO—SVR model is developed to estimate the products concentration of beta—
mannanase for feedstuf．The control results of fermenter show that the state estimation model based
on PSO·-SVR has good learn ing accuracy and generalization perform ance SO as to obtain the real·-time
and on—line estimation for products concentration of beta—mannanase．
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Author: 11 |
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Description: matlab程序，是用牛拉法求解电力系统功率非线性方程，比较简单啊，自己也是正在学习中ing-matlab，newton
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Author: weiyanfang |
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Description: 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。-In this paper, we propose a novel method for solv-
ing single-image super-resolution problems. Given a
low-resolution image as input, we recover its high-
resolution counterpart using a set of training exam-
ples. While this formulation resembles other learning-
based methods for super-resolution, our method has
been inspired by recent manifold learning methods, par-
ticularly locally linear embedding (LLE). Speci?cally,
small image patches in the low- and high-resolution
images form manifolds with similar local geometry in
two distinct feature spaces. As in LLE, local geometry
is characterized by how a feature vector correspond-
ing to a patch can be reconstructed by its neighbors
in the feature space. Besides using the training image
pairs to estimate the high-resolution embedding, we
also enforce local compatibility and smoothness con-
straints between patches in the target high-resolution
image through overlapping. Experiments show that our
method is very ?exible
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Author: qianyeyu |
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