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The leave-one-out cross-validation scheme is a method for estimating
％ the average generalization error. When calling
％ [Eloo,H] = loo(NetDef,W1,W2,PHI,Y,trparms) with trparms(1)>0, the network
％ will be retrained a maximum of trparms(1) itera
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一个基于matlab的像素级融合举例，采用小波变换后，加权平均的方法，对彩色和红外采用了黑白化。简单易用！保证能用！-Matlab-based pixel level fusion, for example, using the weighted average method, using color and infrared black and white of. Easy-to-use! Assurance can be!
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This program perform Image fusion based on wavelet transform. This is very basic method for image fusion. This method averages two images and performs fusion.
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基于平均法的断续模式下buck,boost,buck_boost型DC/DC功率级建模步骤，包括电压模和峰值电流模-Based on the average method of discontinuous mode buck, boost, buck_boost type DC/DC power level modeling steps, including the voltage mode and peak current mode
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基于平均法的连续模式下DC/DC功率级建模步骤，包括电压模和峰值电流模-Average method based on continuous mode DC/DC power level modeling steps, including the voltage mode and peak current mode
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主要用于基于STC89C52单片机的控制超声波传感器的发射接收，利用平均取值法精确测距-Mainly used in single-chip microcomputer-based control STC89C52 launch ultrasonic sensor receiver, using the average value method precision ranging
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基于生物免疫系统的自适应学习、免疫记忆、抗体多样性及动态平衡维持等功能,提出一种动态多目标免疫
优化算法处理动态多目标优化问题.算法设计中,依据自适应ζ邻域及抗体所处位置设计抗体的亲和力,基于Pa-
reto控制的概念,利用分层选择确定参与进化的抗体,经由克隆扩张及自适应高斯变异,提高群体的平均亲和力,利
用免疫记忆、动态维持和Average linkage聚类方法,设计环境识别规则和记忆池,借助3种不同类型的动态多目标
测试问题,通过与出众的动态环境优化算法比较,数值实验表明所
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基于matlab的平均帧背景提取方法并且是基于彩色空间的-Matlab-based extraction method, the average background frame and is based on the color space
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提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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本文阐述了基于主元分析的拉普拉斯金字塔图像融合的原理和方法:首先对原图像分别进行拉普拉斯
金字塔分解,然后分别对高频部分采用主元分析（PCA）法融合,对低频部分采用平均梯度法进行融合,最后对
拉普拉斯金字塔做反变换得到最终的融合图像。通过对可见光与红外图像的融合，以及对不同焦距图像融合
的结果分析，该算法比单纯的PCA和拉普拉斯图像融合能得到具有更多有用信息的高对比度的融合图像-In this paper, principal component analysis based on
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In this paper, a multimodal image fusion algorithm based on multiresolution
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients b
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dct precoded SLM method for PAPR reduction
High Peak to Average Power Ratio (PAPR) is still a
most important challenge in Orthogonal Frequency Division
Multiplexing (OFDM) system. In this paper, we propose a
Discrete Cosine Transform (DCT) p
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：基于脑电信号的身份识别是通过采集试验者的脑部信号来进行身份认证。对于同一个外部刺激或者主体在思考同一个
事件的时候，不同人的大脑所产生的认知脑电信号不同。选取与运动意识想象有关的电极后，分析不同个体在特定状况下脑
电的个体差异，采用以回归系数、能量谱密度、相同步、线性复杂度多种信号处理结合方法对运动想象脑电信号进行处理来
进行特征提取。组合多元特征向量并运用多层BP 神经网络对不同个体的脑电信号进行分类，并在不同的意识想象及不同数
据长度、不同的波段对试验者进行识别率验证分析。
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提出了一种基于小波变换和模糊集的图像融合算法.其基本思想是: 首先对图像进行小波变换,获得图
像的低频和高频分量 随后在融合过程中, 对低频和高频分量采取不同的融合策略, 即对低频分量采用平均能
量法进行融合,对高频成分利用图像的模糊集, 寻求一个模糊隶属函数作为融合算子进行融合 最后再对融合
后的图像进行小波反变换,重构出融合后的图像.实验结果证明了方法的有效性.-Proposed image fusion algorithm based on wavelet transform
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基于消除趋势项法的振动信号预处理研究.在MATLAB环境中对基于消除趋势项法的振动信号预处理的实例仿真分析。有 最小二乘法去趋势；正弦信号去趋势和滑动平均法等-In the MATLAB environment to eliminate the instance of the trend of the vibration signal preprocessing based on simulation analysis based on the signal preprocessing to e
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基于小波最大值和加权平均的图像融合方法，已经运行，并且附带有结果图-Image fusion method based on the the wavelet maximum and weighted average has been running, and with the results of Figure
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本代码采用的是利用MATLAB实现两幅图像的拼接，包括从读取两幅有共同特征点的图像、提取特征点、图像配准和图像整合等过程。采用取平均值法，达到有效的消除图像拼接缝隙、提高图像拼接质量的目的。-The averaging method of average which can achieve the aim that eliminate the image mosaic gap and improve the quality of the purpose of image stitching is
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The purpose of this study was to develop a computerized method for detection of multiple sclerosis
(MS) lesions in brain magnetic resonance (MR) images. We have proposed a new false positive reduction
scheme, which consisted of a rule-based metho
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method for automatic blood vessel detection based on mathematical morphology and coye filter. The proposed method performs certain preprocessing steps on the gray-scale of the input image to enhance image quality. The blood vessels are highlighted us
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