Description: 一个基于像素的字符分割。适合于数字，字母单笔画的分割。比一般的投影法要快。本例为行分割，稍加改动即可实现列分割。-A pixel-based character segmentation. Suitable for numbers, letters, single-stroke segmentation. Than the average projection method to be fast. In this case for the line segmentation, a little modification to achieve the listed partition. Platform: |
Size: 44032 |
Author: |
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Description: 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) iterations for each input-output
％ pair in the data set, starting from the initial weights (W1,W2). If
％ trparms(1)=0 an approximation to the loo-estimate based on "linear
％ unlearning" is produced. This is in general less accurate, but is much
％ faster to calculate.-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) iterations for each input-output pair in the data set, starting from the initial weights (W1, W2). If trparms (1) = 0 an approximation to the loo-estimate based on linear unlearning is produced. This is in general less accurate, but is much faster to calculate. Platform: |
Size: 3072 |
Author:张镇 |
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Description: 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. Platform: |
Size: 52224 |
Author:krishna |
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Description: 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! Platform: |
Size: 1024 |
Author:zc |
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Description: 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 Platform: |
Size: 1024 |
Author:蔡友 |
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Description: 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 Platform: |
Size: 1024 |
Author:蔡友 |
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Description: 种基于图像质量因子的图像融合客观评价方法。该方法利用熵加权和均方根图像融合质量因子对融合图像与源图像间的相关性、 亮度失真和对比度失真进行综合评价,因而在不同融合方法和不同源图像的条件下,可获得标准的评估统计量。采用加权平均、 拉普拉斯塔形分解及基于小波变换的图像融合法为例,通过对多传感器图像进行融合评价实验,证明了该方法的有效性和鲁棒性。-Factor based on image quality of the image fusion method of objective evaluation. This method is the use of entropy and the weighted root-mean-square image fusion quality factor of the fused image and the source of the correlation between image brightness and contrast distortion of a comprehensive evaluation of distortion, which fusion in different ways and different sources of image conditions, the availability of standards assessment statistics. Using the weighted average, Laplacian pyramid and wavelet transform-based image fusion method as an example of multi-sensor image fusion evaluation experiments show that the method is effective and robust. Platform: |
Size: 730112 |
Author:storm |
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Description: 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 Platform: |
Size: 3072 |
Author:yangyingqi |
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Description: 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,数值实验表明所提出算法解决复杂动态多目标优化问题具有较大
潜力.-:A dynamic multi-objective immune optimization algorithm suitable for dynamic multi-objective
optimization problems is proposed based on the functions of adaptive learning, immune memory, antibody
diversity and dynamic balance maintenance, etc. In the design of the algorithm, the scheme of antibody af-
finity was designed based on the locations of adaptive-neighborhood and antibody antibodies participating
in evolution were selected by Pareto dominance. In order to enhance the average affinity of the population,
clonal proliferation and adaptive Gaussian mutation were adopted to evolve excellent antibodies. Further-
more, the average linkage method and several functions of immune memory and dynamic balance mainte-
nance were used to design environmental recognition rules and the memory pool. The proposed algorithm
was compared against several popular multi-objective algorithms by means of three different kinds of dy-
namic multi-objective benchmark problems. Simulations show Platform: |
Size: 499712 |
Author:王飞 |
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Description: 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 Platform: |
Size: 29696 |
Author:孙海波 |
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Description: 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 recognition. This method between the two images by calculating the reconstructed image block average error, calculated using the linear discriminant analysis after dimension reduction of two images Euclidean distance, the integration calculation of reconstruction error and the Euclidean distance difference between these two images level. Platform: |
Size: 220160 |
Author:程德志 |
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Description: 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 retrieving techniques, including color
clustering, color texture and shape, a new retrieving method with multi-features fusion and relevance
feedback is proposed to retrieve the desired endoscopic images. Results: A prototype system is set
up to evaluate the proposed method’s performance and some evaluating parameters such as the
retrieval precision & recall, statistical average position of top 5 most similar image on various features, etc.
are therefore given. Conclusions: The algorithm with multi-features fusion and relevance feedback
gets more accurate and quicker retrieving capability than the one with single feature image retrieving
technique due to its flexible feature combination and interactive relevance feedback. Platform: |
Size: 359424 |
Author:gokul/goks |
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Description: 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 the Laplacian pyramid image fusion of theory and method: First, the original image, respectively Laplacian pyramid decomposition, and then were used for high-frequency part of the principal component analysis (PCA) fusion method for The average gradient method using low-frequency part of the fusion, the last of the Laplacian pyramid to do the inverse transform to get the final fused image. Through the integration of visual and infrared images, as well as the results of image fusion of different focal length of the algorithm than the simple PCA and Laplacian image fusion can get more useful information with the integration of high-contrast images Platform: |
Size: 81920 |
Author:redxuech |
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Description: 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 by the dual-tree complex wavelet transform
(DTCWT). Then, the high-frequency coefficients are fused by the maximum selection
fusion rule. The low-frequency coefficients are fused by weighted average
method based on regions, and the weights are estimated by the PSO to gain
optimal fused images. Finally, the fused image is reconstructed by the inverse
DTCWT. The experiments demonstrate that the proposed image fusion method
can illustrate better performance than the methods based on the DTCWT, the
support value transform (SVT), and the nonsubsampled contourlet transform
(NSCT). Platform: |
Size: 40960 |
Author:ishwarya |
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Description: 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) precoding based SLM
technique for PAPR reduction in OFDM systems. This
technique is based on precoding the constellation symbols with
DCT precoder after the multiplication of phase rotation factor
and before the Inverse Fast Fourier Transform (IFFT) in
SLM-OFDM System. Platform: |
Size: 234496 |
Author:MAHESH |
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Description: ：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。结果表明，不同运动想象的平均识别率均在80 以上，其中以想象舌头
运动的识别率较高，达到90.6 ，不同波段的识别率也表明意识想象的模式及相应波段对身份认别有较大的影响。-EEG-based identification to authenticate through the acquisition of experimental brain signals. For the same external stimuli, or the main thinking of the same
Event, different people s brains produced by cognitive EEG. Select imagine the electrodes and movement awareness, analysis of different individuals in a particular situation brain
Individual differences in electricity, the use of regression coefficients, the energy spectral density, phase synchronization, the linear complexity of a variety of signal processing combined with motor imagery EEG
For feature extraction. The combination of multiple feature vectors and the use of multi-layer BP neural network to classify the EEG signals of different individuals, and in a different sense of imagination and a different number of
Length, the band on the test to verify the analysis of the recognition rate. The results show that the average recognition rates of different motor imagery in more than 80 , which to imagine the tongue
The m Platform: |
Size: 551936 |
Author:王闯杰 |
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Description: 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 and fuzzy sets. The basic idea is: First the image wavelet transform to obtain the low and high frequency components of the image followed by low and high frequency components in the fusion process to take a different the integration of strategy, integration of the low frequency components using the average energy method, the use of high frequency components of the image fuzzy sets, look for a fuzzy membership function as a fusion operator for fusion image fusion wavelet transform and re- structure of fused images. experimental results demonstrate the effectiveness of the method. Platform: |
Size: 134144 |
Author:张凡 |
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Description: 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 eliminate the vibration of the trend of law. Least squares method to the trend sinusoidal signal to the trend and moving average method Platform: |
Size: 7168 |
Author:张一 |
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Description: 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 Platform: |
Size: 225280 |
Author:jack |
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Description: 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 used in these codes. Platform: |
Size: 8192 |
Author:xl |
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Search - average based method