2013 IEEE Global Conference on Signal and Information Processing最新文献_第2页

Resource tradeoffs in distributed subspace tracking over the wireless medium 无线介质上分布式子空间跟踪中的资源权衡

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737018

M. Nokleby, W. Bajwa

引用次数: 4

Cyclostationarity-based wideband spectrum sensing using random sampling 基于循环平稳的随机采样宽带频谱传感

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737123

Lingchen Zhu, Chenchi Luo, J. McClellan

{"title":"Cyclostationarity-based wideband spectrum sensing using random sampling","authors":"Lingchen Zhu, Chenchi Luo, J. McClellan","doi":"10.1109/GlobalSIP.2013.6737123","DOIUrl":"https://doi.org/10.1109/GlobalSIP.2013.6737123","url":null,"abstract":"Cognitive radio (CR) systems offer higher spectrum utilization by opportunistically allocating the unused spectrum from primary users to secondary users. For CR it is vital to perform fast and accurate spectrum sensing in a wideband and noisy channel. Cyclic feature detection performs well in signal detection and is also highly robust to noise uncertainty. However, it requires a high sampling rate when operating over a wideband channel. Based on the sparsity of the cyclic spectrum, compressive sampling technique can extend sparse reconstruction to its case. This paper develops a simpler cyclic spectrum recovery method based on random sampling and demonstrates faster and better performance. Recent research on discrete random sampling provides a new connection between sub-Nyquist sampling and aliasing as a noise floor that can be dynamically shaped by different distributions of sampling times. Practical analog-to-digital converters can implement these random sampling schemes. Thus, a reduced hardware complexity cyclic feature detector based on the reconstructed cyclic spectrum is proposed to identify the spectrum occupancy within the entire wideband.","PeriodicalId":311464,"journal":{"name":"2013 IEEE Global Conference on Signal and Information Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Neural network modulation, dynamics, and plasticity 神经网络调制，动态和可塑性

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737023

C. Fink, M. Zochowski, V. Booth

引用次数: 1

On constant gaps for the K-pair user two-way Gaussian interference channel with interaction 具有相互作用的k对用户双向高斯干涉信道的常间隙

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737041

Zhiyu Cheng, N. Devroye

引用次数: 6

Optimal deployment of caches in the plane 平面上缓存的最佳部署

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737028

M. Mitici, J. Goseling, M. D. Graaf, R. Boucherie

引用次数: 9

Optimizing feedback in energy harvesting MISO communication channels 能量收集MISO通信渠道中的反馈优化

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6736889

Rajeev Gangula, D. Gesbert, Deniz Gündüz

引用次数: 10

Path planning using a neuron array integrated circuit 利用神经元阵列集成电路进行路径规划

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6736978

Scott Koziol, S. Brink, J. Hasler

引用次数: 4

Sub-Nyquist power spectrum reconstruction and support detection for cognitive radios 认知无线电的亚奈奎斯特功率谱重建和支持检测

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737115

Deborah Cohen, Yonina C. Eldar

{"title":"Sub-Nyquist power spectrum reconstruction and support detection for cognitive radios","authors":"Deborah Cohen, Yonina C. Eldar","doi":"10.1109/GlobalSIP.2013.6737115","DOIUrl":"https://doi.org/10.1109/GlobalSIP.2013.6737115","url":null,"abstract":"In order to respond to the ever-increasing demand for new spectral bands, the concept of Cognitive Radio (CR) has emerged, exploiting the spectrum sparsity. Opportunistic users could exploit temporarily vacant bands after detecting the absence of activity of their owners. One of the most crucial tasks in the CR cycle is therefore spectrum sensing and detection which should be reliable and efficient. Yet, CRs typically deal with wideband signals whose Nyquist rates are very high. In this paper, we propose to reconstruct the power spectrum of such signals from sub-Nyquist samples, rather than the signal itself as done in previous work, in order to perform detection. We consider both sparse and non sparse signals as well as blind and non blind detection in the sparse case. For each one of those scenarii, we derive the minimal sampling rate allowing perfect power spectrum reconstruction in a noise-free environment and provide spectrum recovery techniques that achieve those rates. Simulations demonstrate spectrum recovery and support detection at the minimal rate in noise-free settings and show the impact of the signal-to-noise ratio (SNR) on the performance of our detector.","PeriodicalId":311464,"journal":{"name":"2013 IEEE Global Conference on Signal and Information Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114683713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Optimal control of gene regulatory networks with uncertain intervention effects 干预效果不确定的基因调控网络的最优控制

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6736826

Mohammadmahdi R. Yousefi, I. Ivanov

引用次数: 3

Scalable successive-cancellation hardware decoder for polar codes 用于极性码的可伸缩连续对消硬件解码器

2013 IEEE Global Conference on Signal and Information Processing Pub Date : 2013-12-01 DOI: 10.1109/GlobalSIP.2013.6737143

Alexandre J. Raymond, W. Gross

引用次数: 34