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Communication compression is an essential strategy for alleviating communication overhead by reducing the volume of information exchanged between computing nodes in large-scale distributed stochastic ...
2022年6月17日下午,国家级人才称号获得者,清华大学殷柳国教授来中北大学信息与通信工程学院作“Generalized Sparse Codes for Non-Gaussian Channels: Code Design,Algorithms, and Applications”专题报告。本次专题报告是南邮80周年校庆之际通信与信息工程学院举办的第10次“通院学术大讲堂”校庆系列报告会。本次报...
These studies have been conductedusing non-metric digital camera and dense image matching algorithms, as non-contact methods of creating monuments documentation.In order toprocess the imagery, few ope...
Communication protocols and algorithms are needed to communicate network devices and exchange data between them. The appearance of new technologies usually comes with a protocol procedure and communic...
Digital terrain model (DTM) is one of the important input parameters in urban flood application. This is because it influences the flow direction, flow velocity, flood extend and flood depth. LiDAR ...
Rendezvous process plays an important role in constructing Cognitive Radio Networks (CRNs), through which a user establishes a link on a common licensed channel for communication with its neighbors.
Rendezvous process is the cornerstone to construct Cogni-tive Radio Networks (CRNs), through which a secondary user can establish a link for communication with its neigh-bor on a common channel. Altho...
Cognitive radio networks (CRNs) have been pro-posed to solve the spectrum scarcity problem. One of their fundamental procedures is to construct a communication link on a common channel for the users, ...
Preparing virtual models by data acquired from indoor and outdoor objects, comprehensively, have been ingratiated with specialists of geomatic science. Since previous years, specialists of computer sc...
Quality Evaluation of Generalization Algorithms     Data Quality  Generalization  Building       font style='font-size:12px;'> 2015/12/3
Cartographic maps can only contain a certain amount of information. If the information density is too high, the map becomes hard to comprehend for a human viewer. A common solution for this problem is...
We consider a scheduled orthogonal frequency division multiplexed (OFDM) wireless cellular network where the channels from the base-station to the n mobile users undergo flat fading. Spectral resource...
We focus on crowd-powered filtering, i.e., filtering a large set of items using humans. Filtering is one of the most commonly used building blocks in crowdsourcing applications and systems. While solu...
This paper investigates the benefits of progressive transmission of vector data, through designing and developing a hierarchical data model to compress vector data for progressive transmission over t...
We consider a scheduled orthogonal frequency division multiplexed (OFDM) wireless cellular network where the channels from the base-station to the n mobile users undergo flat fading. Spectral resource...
Phase Retrieval via Wirtinger Flow:Theory and Algorithms     Phase Retrieval  Wirtinger Flow  Theory   Algorithms       font style='font-size:12px;'> 2015/6/17
We study the problem of recovering the phase from magnitude measurements; specifically, we wish to reconstruct a complex-valued signal x ∈ Cn about which we have phaseless samples of the form yr = ∣&#...

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