Description: adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件-adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated Platform: |
Size: 3351 |
Author:陈永强 |
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Description: adaptive mmse space-time multiuser detection algorithm.m是自适应MMSE空时多用户检测算法 dec multiuser.m是空时解相关多用户检测算法 cd multiuser.m是空时匹配滤波器 ber.m是误码率计算 conver.m是空时PN码产生文件-adaptive space-time multiuser detec tion is algorithm.m MMSE space-time adaptive multi-user detection algorithm dec multi user.m solution when space is multi-user detection algorithm cd multiuser.m was empty when matched filter ber.m error rate is calculated conver.m was empty at the PN code generated Platform: |
Size: 3072 |
Author:陈永强 |
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Description: 基于模板匹配与支持矢量机的人脸检测
梁路宏 艾海舟 肖习攀 叶航军 徐光佑 张钹
。本文提出了一种将模板匹配与支持矢量机（SVM）相结合的人脸检测算法。算法首先使用双眼—人脸模板对进行粗筛选，然后使用SVM分类器进行分类。在模板匹配限定的子空间内采用“自举”方法收集“非人脸”样本训练SVM，有效地降低了训练的难度。实验结果的对比数据表明，该算法是十分有效的。-Based on template matching and support vector machine Face Detection Liang Wang Ai Haizhou Road, Xi Pan Xiao Ye Zhang Bo Xu Guangyou military aircraft. This paper proposes a template matching and support vector machine (SVM) a combination of face detection algorithm. Algorithm the first to use both eyes- face template to carry out coarse filter, and then use the SVM classifier to classify. Template matching in the sub-space limit the use of Platform: |
Size: 1135616 |
Author:cy |
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Description: 方向检测的粒子滤波程序，内含重采样算法。-The direction of the particle filter detection procedures, including re-sampling algorithm. Platform: |
Size: 34816 |
Author:赵娜 |
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Description: 此程序为基于KALMAN滤波的信道估计联合符号检测算法。
mainar1中信道模型为AR1模型。-This procedure is based on the Kalman Filter Channel Estimation Joint symbol detection algorithm. CITIC mainar1 channel model for the AR1 model. Platform: |
Size: 1024 |
Author:左右 |
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Description: 此程序为基于KALMAN滤波的信道估计联合符号检测算法。
modified_jakes为jakes模型子程序。-This procedure is based on the Kalman Filter Channel Estimation Joint symbol detection algorithm. Jakes model for modified_jakes subroutine. Platform: |
Size: 1024 |
Author:左右 |
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Description: 一种快速的多边形和矩形检测算法，可以广泛的应用于各种目标识别领域-A fast polygon and rectangle detection algorithm can be widely used in various areas of target identification Platform: |
Size: 11264 |
Author:chendong |
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Description: 1.an fpga implementation of the image space reconstruction algorithm for hyperspectral imaging analysis
2. fpga implemention of a median filter
3. fpga implementation of digital filters
4.hardware acceleration of edge detection algorithm on fpgas
5.implementation and evaluation of image processing algorithms on reconfigurable architecture using C-based hardware descriptive languages
6. implementing 2D median filter in fpgas
7.视频图像处理与分析的网络资源 Platform: |
Size: 1969152 |
Author:carol |
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Description: 摘要：拐点是数字图像中的一个重要信息载体 提出一种新的拐点检测算法 该算法并非寻找连续空间中曲率的离散近似计算方法，而是源于离散曲线的外观特征，推导出离散曲线上拐点处k个点对间欧氏距离平方和局部最小这一重要性质。基于该性质，本算法首先利用Freeman链码的性质.过滤掉物体边界上明显不可能成为拐点的象素，然后在剩余的边界点中通过寻找该局部最小值定位出拐点。给出了本算法与四种著名拐点检测算法的对比实验。
-Abstract: The inflection point is a digital image of an important information carrier put forward a new turning point detection algorithm the algorithm does not look for continuous space discrete approximation of the curvature calculation method, but from the appearance of characteristics of discrete curve derived discrete curve the inflection point at k-points between the squared Euclidean distance and the local minimum of this important property. Based on the nature of the algorithm is the first to use Freeman chain code in nature. Filter out objects clearly can not become a turning point on the border pixel, and then in the remaining boundary points by finding out the turning point of the local minimum position. The algorithm is given inflection point detection algorithm with the four well-known comparison of experiment. Platform: |
Size: 180224 |
Author:changhe.cheng |
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Description: 。当各感知用户采用软判决方法,对于2
个感知用户合作和3个感知用户合作的情况,可对最优联合检测算法性能有015dB改善。-. When the user uses soft decision method of perception, perceptual user cooperation for 2 and 3 sensing user cooperation, the joint detection algorithm can best improve the performance of 015dB. Platform: |
Size: 449536 |
Author:宝宝 |
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Description: !本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法,它以一种改进的自适应混合高
斯模型为背景更新方法-用连通区检测算法分割出前景目标-以./01/2滤波为运动模型实现对运动目标的
连续跟踪-! This paper, a stationary camera for moving target detection and tracking algorithm, based on a modified adaptive Gaussian mixture model for the background updating- with Components of the segment the foreground object detection algorithm- to ./01/2 filter for the motion model to achieve continuous tracking of the moving target Platform: |
Size: 495616 |
Author:xxx |
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Description: 边缘检测1.制作一张包括色块、线条的单色背景图片，先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理，采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘，得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值，与实际生成原始图像时采用的真实坐标数据作比较，对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片，试采用一种边缘检测的算法做待检测物体的自动提取，对生成的结果作分析。-Edge Detection 1. To produce a including blocks of color lines color the background picture, the first of its low-pass filter for a color blocks and lines produced lower quality images fuzzy edges to be processed, using any two edge detection algorithm to detect when processing in the image blocks of color and line the edge of the two values are the result of the treatment plan. Extracted from the results map the boundary blocks of color and line coordinates, the original image and the actual generated coordinate data used to compare the true, and on the detection of error for analysis. 2. Take a test to be included black and white or color photographs of objects, try using a edge detection algorithm on automatic extraction of objects to be detected, the results generated for analysis. Platform: |
Size: 661504 |
Author:tosh |
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Description: 在粒子滤波器框架下，选取区域协方差矩阵特征对运动独立的目标进行描述.-an adaptive template update method base on region covariance descriptor to track the target using particle filter algorithm in a complex circumstance. Platform: |
Size: 13312 |
Author:刘茜娅 |
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Description: Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.-Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate. Platform: |
Size: 395264 |
Author:saeed |
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Description: In this paper, a line detection algorithm, which is based on direction filter and regional growth, is proposed for line
detection problem in a specific angle. The algorithm is better than the state-of-the-art algorithm in the detection of the
specific direction of the line, which have a higher detection rate, less error and missing detection, lower computational
complexity, higher efficiency of the algorithm and be better anti-interference ability Platform: |
Size: 321536 |
Author:Lamine |
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Search - filter detection algorithm