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[OtherRandWPSO

Description: 权重改进粒子群算法中的随机权重法,将标准PSO算法中设定w为服从某种随机分布的随机数,这样一定程度上可从两方面克服w的线性递减所带来的不足-Weights improved particle swarm algorithm in the random weight method, the standard PSO algorithm to set w to obey a random distribution of the random numbers, so to a certain extent can be reduced in two ways to overcome the linear w arising from lack of
Platform: | Size: 1024 | Author: 李峰 | Hits:

[transportation applicationscw

Description: 带时间窗的节约算法,求解车辆路径问题,是一个函数形式,效果很好-VRP,C-W
Platform: | Size: 3072 | Author: fangtao | Hits:

[Othernmfmatlab7

Description: 非负矩阵分解应用于脸部图像识别的MATLAB程序-function [W H] = nmf(V,r,maxiter)
Platform: | Size: 13312 | Author: 郑翠翠 | Hits:

[matlabSVregression

Description: In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine the solution. The thing to notice is that the sparseness arose from complementary slackness conditions which in turn came from the fact that we had inequality constraints. In the SVM the penalty that was paid for being on the wrong side of the support plane was given by C P i » k i for positive integers k, where » i is the orthogonal distance away from the support plane. Note that the term jjwjj2 was there to penalize large w and hence to regularize the solution. Importantly, there was no penalt
Platform: | Size: 51200 | Author: bahman | Hits:

[matlabsom(Jal.You)

Description: SOM神经网络(自组织特征映射神经网络)是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数,其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接,这样每个输出层节点均对应于一个连接权矢量。 自组织特征映射的基本原理是,当某类模式输入时,其输出层某一节点得到最大刺激而获胜,获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作,获胜节点及其周围节点的连接权矢量向输入模式的方向作相应的修正。当输入模式类别发生变化时,二维平面上的获胜节点也从原来节点转移到其它节点。这样,网络通过自组织方式用大量训练样本数据来调整网络的连接权值,最后使得网络输出层特征图能够反映样本数据的分布情况。根据SOM网络的输出状况,不仅能判断输入模式所属的类别,使输出节点代表某类模式,而且能够得到整个数据区域的分布情况,即从样本数据得到所有数据的分布特征。 -SOM neural network (self-organizing feature map neural network) is an unsupervised neural network. Network topology is an input layer and an output layer. Input layer nodes is the input dimension of the sample, each node represents a component input samples. Output layer nodes are arranged in two-dimensional array structure. X in the input layer and output layer each node of each neuron node Y by a weight (the weight vector as W) is connected, so that each output layer corresponds to a connection node of the right vector. Self-organizing feature maps of the basic principle is, when each category of inputs into the model, its output layer one node get the maximum boost and win, Huoshengjiedian around Yixiejiedian Yin Zuo Yong Ye Shoudaojiaotai lateral stimulation. Then a learning network operation, the winner node and surrounding nodes in the right direction vector to the input mode to make consequential amendments. When the input mode type changes, the two-dimensional plane of the wi
Platform: | Size: 47104 | Author: leidan | Hits:

[matlabw

Description: 排队论学习及其算法研究-Queuing theory and arithmetic in learning ~~~~~~~~~~~~~~~~~~
Platform: | Size: 375808 | Author: g | Hits:

[Streaming Mpeg4yundong-guji-pipei

Description: matlab平台的一些运动估计块匹配算法,包括3步法,新3步法,4步法,菱形搜索-motionsEstAnalysis.m——Script to execute all Algorithms motionEstES.m——Exhaustive Search Algorithm motionEstTSS.m——Three Step Search Algorithm motionEstNTSS.m——New Three Step Search Algorithm motionEstSESTSS.m——Simple And Efficient Search Algorithm motionEst4SS.m——Four Step Search Algorithm motionEstDS.m——Diamond Search Algorithm motionEstARPSm——Adaptive Root Pattern Search Algorithm costFuncMAD.m——Mean Absolute Difference Function minCost.m ——minimum cost among macro blocks motionComp.m——motion compensated image creator imgPSNR.m ——finds image PSNR w.r.t. reference image
Platform: | Size: 498688 | Author: lsr | Hits:

[matlabperceptron

Description: 线性分类器设计-感知机算法,对一组数据进行分类,分析w不同时的影响-Linear classifier design- Perceptron Algorithm
Platform: | Size: 2048 | Author: 韩倩倩 | Hits:

[DocumentsW-SVD

Description: SVD图像处理,MATLAB程序 变换域小波处理程序-SVD image processing, MATLAB wavelet transform domain processing procedures
Platform: | Size: 371712 | Author: 郑甲良 | Hits:

[source in ebooklpc_01

Description: The main m-file to be executed is myLPC.m file. The file that contains all calculations is lpc_01.m file, that is a function which returns reconstructed speech signal with LPC-16 coding. Observing Spectrogram of both signals is very instructive and shows that Reconstructed signal from LPC coding has some periodic (with respect to w) signals appearing in it s Spectrogram.
Platform: | Size: 1024 | Author: jayran | Hits:

[Special Effectsdemo

Description: 小波用于CFA图像插值的源程序,2010年最新的论文。This is a demo program of color filter array (CFA) image color reproduction. J. Tian, W. Yu and L. Ma, "Color filter array color reproduction using cycle-spinning," International Journal of Electronics and Communications, Vol. 64, No. 6, pp. 584-587, Jun. 2010.-This is a demo program of color filter array (CFA) image color reproduction. J. Tian, W. Yu and L. Ma, "Color filter array color reproduction using cycle-spinning," International Journal of Electronics and Communications, Vol. 64, No. 6, pp. 584-587, Jun. 2010.
Platform: | Size: 507904 | Author: 张华 | Hits:

[matlabpolynomial

Description: 对滤波器耦合矩阵中的极点和零点位置进行编程,以求出表示零点极点的多项式-Coupling matrix of the filter pole and zero position programming has been calculated F (w) E (w) polynomial
Platform: | Size: 1024 | Author: eddiej | Hits:

[AI-NN-PRIntelligentTacticalFlight

Description: &基于贝叶斯网络和模糊推理 技术A实现了战场威胁级别及其相对重要性程度的综合评估&利用模型预测控制的滚动优化和在线校正原理A实现了 飞机在线飞行路径规划&建立了路径规划代价函数中加权因子的智能化分配方法A进而实现了威胁评估与路径规划 之间的集成A使得路径规划系统能够自适应战场态势的动态变化.-koorow&E}8k w$lrm}nz$pkzz8zzn8omp$lm}l8km 8y8 ko|l8 kmry8rnj$lmkos8kl88zmk9 rz}8|9kz8|$ouk{8zrko o8m*$l+zko|pq { $wrs&E}8p rw}mjkm}j koorowrzrnj 8n8om8|qzrowm}8n$|8 jl8|rsmry8s$oml$ |8j8o|row$o rmzl8s8|row}$lr $o$jmrnr kmr$oko|s$ll8smr$o$o< ro8&E}8rom8 rw8omkzzrwon8om$p*8rw}mrowpksm$lzros$zm pqosmr$o$pjkm}j koorowrz|8y8 $j8|9kz8|$opq { $wrsA*}rs}rom8wlkm8|zrmqkmr$okzz8zzn8om*rm}jkm} j koorow&E}8jl$j$z8|rom8 rw8ommksmrsk p rw}mjkm}j koorowz{zm8n skok|kjmm}8|{oknrsyklrk9 8zrmqkmr$ozro 9kmm 8pr8 |&E}8zrnq kmr$ol8zq mzz}$*m}8w$$|8pp8smry8o8zz
Platform: | Size: 136192 | Author: hans | Hits:

[matlab1

Description: 基于lms算法的干扰自适应抵消LMS算法是基于最陡下降法的统计估计的最小均方值算法,令误差的均方值达到最小时的抽头系数的值即为最优解。LMS算法抽头系数w的变化方向为代价方程的负梯度方向。-Lms algorithm based on adaptive interference cancellation algorithm is the LMS steepest descent method based on statistical estimation of the least mean square algorithm, so that the mean square error to achieve the most hours of the tap coefficient value is the optimal solution. LMS algorithm for tap coefficient w, the cost equation changes in the direction of the negative gradient direction.
Platform: | Size: 4096 | Author: ct | Hits:

[Special EffectsDigitalsubtraction

Description: 数字减影血管造影( DSA) 通过向血管中注入造影剂, 使血管的整体影像的对比度有了明显的增强, 然后通 过造影前后图像的相减运算, 可以去除非血管器官的影像, 得到血管更清晰的图像, 目前广泛应用于心血管疾病的 诊断。由于患者的呼吸运动, 使得不同时间采集的图像相减后会产生运动伪影。为了消除运动伪影, 从医生临床上 对于心脏的运动以胸腔的横膈膜为参考目标得到启发, 首先得到很多幅注入造影剂之前的图像( 掩膜图像) 和一幅 注入造影剂之后的图像( 造影图像) , 然后指定其中的一幅掩膜图像作为参考图像, 其它的掩膜图像和那一幅造影图 像分别对参考图像求位移。基于上面求出的位移, 可以将候选图像集中到位移小于某一阈值的很少的几幅图像上, 然后在这几幅图像上应用改造过的搜索算法, 最终找到了运动伪影最小的那幅掩膜图像。该算法引入了绝对位移 和相对位移相结合的方法使减影图像中运动伪影得到明显消除。-In dig ital subtr action ang io gr aphy ( DSA) , the co nt rast of the v essels is gr eatly improv ed w ith the injectio n of contrast medium. In addit ion, mo re clear vessels can be visualized by eliminating the imag es o f non􀀁 vessel or gans, and those imag es ar e called subtr action imag e o r DSA. Therefo re, DSA is o f w ide use for diag no sis o f car dio vascular disease. Subtr action of imag es o bt ained befo re and after injection of contrast medium may cr eat e mo tion art ifacts due to the aspiratio n o f pat ient s. In this reg ard, being motiv ated by the docto rs􀀂 ex per ience that t he displacement of dia􀀁 phragm can be used as the reference to measur e the hear t beat, we present a method to eliminate the mot ion ar tifacts. In o ur method, fir stly , a set of DSA imag es are taken befo re injection o f contr ast medium, w hich are called mask images! and one imag e taken after injection o f contrast is called targ et image! . Seco
Platform: | Size: 666624 | Author: xingxing | Hits:

[matlabDMC-w

Description: matlab 预测控制(DMC)的仿真算例-matlab predictive control (DMC) simulation example
Platform: | Size: 1024 | Author: wangfuwa | Hits:

[matlabAudio-Watermarking-in-DCT

Description: 本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.-Though m any w orks in the literature agree that w aterm ark should be em bedded in the middle2fre2 quency coefficients or percep tually significant components, how to determ ine the position em bedded has no universal definition. A new em bedding strategy and an algorithm app lying the strategy are p roposed for audio w aterm arking in DCT dom ain based on research of DCT noise m odal. B y defining a noise sensitivity vector, a m ath relationship betw een the w aterm ark em beddable position and the audible quality of the audio file w ith w aterm ark is set up.
Platform: | Size: 873472 | Author: 郑杨 | Hits:

[matlabOC_2010_fusion

Description: 多焦点图像融合 利用基于双边梯度的锐化标准 相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"-This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion," Optics Communications, Vol. 284, Jan. 2011, pp. 80-87.
Platform: | Size: 129024 | Author: code fan | Hits:

[matlabFDTD-programming-based-on-MATLAB

Description: 介绍了时域有限差分(FDTD) 法的基本原理, 推导了二维TM 模Yee 算法的FDFD 表达式, 并结合算例阐述了基于MA TLAB 编程的基本方法。-The basic p rincip le of FDTD w as introduced and the 22D TM mode FDTD arithmetic expression was derived. The p rogramm ing method based onMA TLAB w as illustrated w ith examp le.
Platform: | Size: 535552 | Author: lzf | Hits:

[matlabfupinxiangying

Description: 幅频响应特性图[h1,w]=freqz(b1,1,N,1) [h2,w]=freqz(b2,1,N,1) -Amplitude frequency response characteristics of Figure
Platform: | Size: 28672 | Author: 汪月霞 | Hits:
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