Description: 提出了一种新型的基于OLSR的层次化改进算法HOLSR,旨在提高OLSR的整体效率-This paper p roposed a novel imp roved routing p rotocol based on OLSR,called hierarchical OLSR(HOLSR)p roto2
col,which could be used in large and heavy traffic w ireless environment Platform: |
Size: 683008 |
Author:李超杰 |
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Description: 这是一篇2010年新的基于分层和图割算法的好文章，算法新颖独特，且易于实现-2010 This is a new algorithm based on hierarchical and graph cuts a good article, novel and unique method and easy to implement Platform: |
Size: 3147776 |
Author:liuxiaokai |
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Description: 文将3D Context模型应用于 Surfacelet变换域 ,提出一种新的视频去噪方法. Surfacelet变换(ST)是一种
新的3D变换 ,具有多方向分解、 各向异性和低冗余度等性质. 根据视频信号 ST域内系数和噪声分布的特征 ,将 2D
Context 模型拓展到3D ,按照能量分布将 ST系数分成多个子块 ,每个子块有独立的能量和阈值估计.实验结果表明 ,本
文算法噪声抑制效果明显优于分层 2D去噪声方法和其它现有的 3D方法 ,去噪视频的 PSNR值提高了约 2dB.从视觉
效果来看 ,本文算法在去除噪声的同时 ,能很好的保留视频图像细节 ,运动物体非常平滑 ,有效解决传统算法中存在的
拖影、 闪烁等问题 ,尤其适合于包含剧烈运动和丰富纹理图像的视频.- We propose a novel video denoising method with 3D Context Model in Surfacelet Transform Domain (3DCMST)
in this paper. In order to take advantage of the characteristic of the coefficients , the Context model was extended from 2D to 3D. The
ST coefficients were divided into several parts according to their energy distribution by 3D Context model and each part had inde2
pendent energy estimate and threshold. Experimental results show that the proposed method achieves better denoising performance
than other 3D or hierarchical 2D denoising methods , and remarkably improves the PSNR of video about 2dB. In terms of visual
quality , the proposed method can effectively preserve the video detail ,and the trajectory of motion object is very smooth ,which is
especially adequate to process the video frames with acute movement and plenty of texture. Platform: |
Size: 752640 |
Author:gigi |
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Description: This paperpresent a novel framework for inferring global behaviour patterns through modelling behaviour correlations in a wide-area scene and detecting any
anomaly in behaviours occurring both locally and globally. Specifically,
This paperpropose a semantic scene segmentation model to decompose a wide-area
scene into regions where behaviours share similar characteristic and are represented as classes of video events bearing similar features. To model behavioural correlations globally, This paperinvestigate both a probabilistic Latent Semantic Analysis (pLSA) model and a two-stage hierarchical pLSA model for
global behaviour inference and anomaly detection. The proposed framework
is validated by experiments using complex crowded outdoor scenes. Platform: |
Size: 497664 |
Author:shpark |
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Description: 研究了单基站功率约束条件下的多点协作多输入单输出干扰下行链路系统的和速率最大化非凸优化问
题。为有效求解和速率最大化优化问题，首先采用分层优化方法将和速率最大化优化问题分解成发射功率最小
化优化问题和单输入单输出干扰信道的和速率最大化优化问题 其次利用二阶锥规划优化方法求解发射功率最
小化优化问题 然后利用凸近似和几何规划方法求解单输入单输出干扰信道的和速率最大化优化问题 最后通
过交替求解这两个子优化问题，进而提出了一种新颖的单调协同多点波束成形算法 而且利用单有界序列原理
证明了所提算法的收敛性。数值仿真表明所提算法只需约四次迭代即可收敛到稳定点，而且所获得的最优性能
非常接近穷举搜索算法的最优性能。-Single base station power constraints under the multi-point collaboration and the rate of multiple-input single-output interference downlink system to maximize non-convex optimization problem. For maximizing the effective solving and rate optimization problem, first hierarchical optimization method to maximize the rate optimization problem into minimum transmit power optimization problem and the single-input single-output interference channel and rate maximization optimization problem Secondly, the second-order cone programming optimization method for solving the minimum transmit power optimization problem then using convex approximation and geometric programming method for single-input single-output interference channel and maximizing the rate optimization problem Finally, by alternately solving the two sub-optimization problems, and then put forward a novel monotonous collaborative multi-beamforming algorithm and the use of single-, bounded sequence principle that the convergence Platform: |
Size: 684032 |
Author:李腾飞 |
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Description: 1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary Learning
4_Parallel versus Hierarchical Fusion of Extended Fingerprint Features
5_Monogenic Binary Pattern (MBP): A Novel Feature Extraction and
Representation Model for Face Recognition Platform: |
Size: 1445888 |
Author:abdou |
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Description: 非刚性表面检测和配准。一种新的非刚性基于局部熵图匹配方法。-a novel high-order affinity graph is constructed to model the consistency of local topology. A hierarchical clustering approach is then used to locate the nonrigid surfaces Platform: |
Size: 13942784 |
Author:曹德才 |
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Description: Inter modulation (SM), as a novel multi antenna transmission scheme, creates a mapping relationship between input bits and transmit antenna ordinal numbers, which is used to carry certain transmission information. However, the scheme maps the sending bits to a uniform distribution signal constellation through a single layer modulation mode, which greatly limits the performance of the system. Hierarchical map coding (SCM) technology is applied to constellation point mapping, which satisfies different quality of service (QoS) requirements of different data services on the same transmission slot, and effectively improves system performance. Based on the principle of SCM, a low complexity detection algorithm is proposed. The simulation results show that the detection performance of the new algorithm is approximate to the maximum likelihood (ML), and the complexity of the receiver increases linearly with the modulation order. Platform: |
Size: 2582528 |
Author:appletime81 |
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Description: 本文开发了一种自适应算法来估计mmWave信道参数，该算法利用了信道的较差散射特性。 为了使该算法有效运行，设计了一种新颖的分层多分辨率码本，以构造具有不同波束宽度的训练波束成形向量。 对于单路径信道，推导了使用所提出算法的估计误差概率的上限，并且获得了对算法自适应阶段之间训练功率的有效分配的一些见解。(This paper develops an adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel. To enable the efficient operation of this algorithm, a novel hierarchical multi-resolution codebook is designed to construct training beamforming vectors with different beamwidths. For single-path channels, an upper bound on the estimation error probability using the proposed algorithm is derived, and some insights into the efficient allocation of the training power among the adaptive stages of the algorithm are obtained.) Platform: |
Size: 3255296 |
Author:Bieke |
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