{"title":"A novel non-iterative architecture for broadcast MIMO","authors":"A. Pérez-Neira, B. Devillers, M. Lagunas","doi":"10.1109/CIP.2010.5604223","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604223","url":null,"abstract":"In Multi-user, Multiple-Input, Multiple-Output (MU-MIMO) wireless cellular where Quality of Service (QoS) is interference-limited, a variety of power control, precoding and decoding non-linear problems exist. Even though the sum capacity of centralized schemes (either at transmission or reception) has already been computed, the search for efficient practical schemes which can achieve this capacity is still ongoing. This paper examines the precoder and decoder joint design from a new perspective and proposes a new non-iterative architecture, which is novel, practical, and low in complexity. This new perspective is referred to as embedded power loading. The goal is to obtain a practical design for the power and bit loading, which maximizes the sum rate with user Bit Error Rate (BER) requirements in the Broadcast Channel (BC). By means of simulation results, this work shows that, although heuristically designed, our proposal achieves approximately the sum rate with a substantial reduction of complexity.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044806","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}
{"title":"On modeling of cognitive interrogator-sensor network: Layered discrete memoryless channel and finite-state Markov channel","authors":"Yifan Chen, W. L. Woo","doi":"10.1109/CIP.2010.5604122","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604122","url":null,"abstract":"This paper looks into the modeling of information transmission over cognitive interrogator-sensor networks (CISNs), which represent an import class of sensor networks deployed for surveillance, tracking, and imaging applications. The crux of the problem is to develop a channel model that allows for evaluation of the sensing channel capacity and error rate performance, where the sensing link is overlaid by the communication link. First, the layered discrete memoryless channel (DMC) and finite-state Markov channel (FSMC) models are identified as a useful tool to capture the essence of information transfer over the communication and sensing links in a CISN. Subsequently, a study case considering a typical CISN for environmental monitoring subject to various wireless propagation and sensing conditions is presented to demonstrate how the model parameters may be derived. Finally, the applications of the proposed analytical framework including cognitive sensing, network performance assessment and simulation are discussed.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126261950","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}
{"title":"Automatic human motion classification from Doppler spectrograms","authors":"F. Tivive, A. Bouzerdoum, M. Amin","doi":"10.1109/CIP.2010.5604253","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604253","url":null,"abstract":"A technique, recently introduced for visual pattern classification, is successfully applied for classification of human gait based on radar Doppler signatures depicted in the time-frequency domain. It is shown that the proposed classification technique implements steps that, in essence, act on revealing the distinctive Doppler features of the human walking and, as such, allows effective discrimination of various types of human motions characterized by the nature of arm swings. We specifically consider three types of arm motions, namely, free swings, one-arm confined swings, and no-arm swings. The last two arm motions can be indicative of a human carrying objects or a person in stressed situations. The paper explains the different processing stages of motion classification architecture and demonstrates their contributions to the final decision.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133197750","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}
G. Chantas, N. Galatsanos, R. Molina, A. Katsaggelos
{"title":"Variational Bayesian inference image restoration using a product of total variation-like image priors","authors":"G. Chantas, N. Galatsanos, R. Molina, A. Katsaggelos","doi":"10.1109/CIP.2010.5604259","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604259","url":null,"abstract":"In this paper a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted Total Variations (TV). These spatial weights provide this prior with the flexibility to better capture local image features than previous TV based priors. Bayesian inference is used for image restoration with this prior via the variational approximation. The proposed algorithm is fully automatic in the sense that all necessary parameters are estimated from the data. Numerical experiments are shown which demonstrate that image restoration based on this prior compares favorably with previous state-of-the-art restoration algorithms.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129731802","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}
L. Iacobelli, François Scoubart, D. Pirez, Pascale Fouillot, Raphaël Massin, C. Lefebvre, C. Martret, V. Conan
{"title":"Dynamic frequency allocation in ad hoc networks","authors":"L. Iacobelli, François Scoubart, D. Pirez, Pascale Fouillot, Raphaël Massin, C. Lefebvre, C. Martret, V. Conan","doi":"10.1109/CIP.2010.5604205","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604205","url":null,"abstract":"This paper presents a new frequency allocation scheme for ad hoc networks. Unlike other proposals, the scheme allocates frequencies to groups of nodes, for their intra-group communication needs, in order to guarantee a high level of availability of the needed frequency resources. This scheme uses a distributed decision process with interference measurements and a simple collaboration protocol between groups. Performance figures concerning the optimality of the obtained solution and the convergence time are given. The paper also presents a work that has been done to simulate this allocation scheme in a realistic environment with a mobility scenario on a 3D terrain model. Finally some ideas for future work are proposed.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129839420","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}
A. C. Carli, U. Castellani, M. Bicego, Vittorio Murino
{"title":"Dissimilarity-based representation for local parts","authors":"A. C. Carli, U. Castellani, M. Bicego, Vittorio Murino","doi":"10.1109/CIP.2010.5604260","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604260","url":null,"abstract":"In this paper a novel approach for dissimilarity-based representation is presented, which combines local image descriptors with several dissimilarity functions. The basic idea consists of defining the set of prototypes in terms of local descriptors of image parts, namely feature points extracted from the training set. Therefore, according to the dissimilarity-based approach, a new image can be characterized on the basis of its dissimilarity with each of the given prototypes. This leads to a new class of Local Kernels which exploits the use of dissimilarities between image parts. In particular, we show that the classic Bag-of-Feature (BoF) kernel can be revised as a special case of our new formulation, and better performance can be obtained when new dissimilarity functions are employed. Moreover, we observe that any variants of the basic BoF kernel can take advantage from our approach as we show for the case of the Pyramid Match kernel. Promising results are shown for image categorization on the ETH-80 database.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132199965","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}
{"title":"Sensor fusion by two-layer conflict solving","authors":"V. Lohweg, Uwe Mönks","doi":"10.1109/CIP.2010.5604094","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604094","url":null,"abstract":"Many of the existing fusion approaches based on Dempster-Shafer Theory (DST) tend to be unreliable in various scenarios. Therefore, this topic is still in discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification (FPC) concepts. The aim is to provide an approach to data fusion which provides a stable conflict scenario handling. Furthermore, the scheme can easily be extended to fuzzy classification and is applicable to sensor fusion applications. Therefore, the suggested approach will contribute as a novel fuzzy fusion method.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821507","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}
{"title":"Graphical approach for multi-standards radio design formalization and global optimization","authors":"S. T. Gul, C. Moy, J. Palicot","doi":"10.1109/CIP.2010.5604245","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604245","url":null,"abstract":"This article describes a graphical approach for multi-standards SDR design formalization. An SDR consists of software components whose behavior can be changed by reconfiguration procedure. In a common operator design this change requires only an adjustment of certain parameters. The optimal way of realizing a multi-standards terminal is to identify the common functions and operators between standards. Various common operators have been identified that can be used to obtain an optimal solution that balances between cost and efficiency. The need for optimization in multi-standards software defined radio equipments due to increasing complexity is of vital importance. In order to optimize the choice of these operators we first make an oriented graph that shows the interrelationship between various components of the system. Then, an architectural exploration extracts the common operators of a given multi-standard system. Moreover this article explains how we can obtain a global minimum by merging different common operators. This is elaborated with the help of a simplified tri-standards example that shows the advantages we can have by merging dual mode fast Fourier transform (DMFFT) operator and frequency response masking filter-bank (FRMFB) operator.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565215","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}
{"title":"A robust approach for optimization of the measurement matrix in Compressed Sensing","authors":"V. Abolghasemi, D. Jarchi, S. Sanei","doi":"10.1109/CIP.2010.5604134","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604134","url":null,"abstract":"In this paper we address the problem of measurement matrix optimization in Compressed Sensing (CS) framework. Although the measurement matrix is generally selected randomly, some methods have been recently proposed to optimize it. It is shown that the optimized matrices can improve the quality of reconstruction and satisfy the required conditions for an efficient sampling. We propose a new optimization method with the aim of decreasing the “Mutual Coherence”. Defining a new cost function, we suggest to use a Gradient descent algorithm for this optimization problem. The advantages are less computational complexity, which makes the method suitable for large-scale problems, more robustness, and higher incoherence between the measurement matrix and sparsifying matrix (dictionary). By conducting several experiments, we obtained promising results which confirm a considerable improvement compared to those achieved by other methods.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116105693","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}
{"title":"Decentralized spectrum access via multivariate global games","authors":"V. Krishnamurthy","doi":"10.1109/CIP.2010.5604112","DOIUrl":"https://doi.org/10.1109/CIP.2010.5604112","url":null,"abstract":"We consider a network of cognitive radios (CRs) where each CR obtains noisy multivariate measurements of the quality of several logical channels and needs to decide which channel to access. Assuming the CRs are rational devices, each CR determines which channel to access, based on its expected throughput and Bayesian estimate of the intention of other CRs. We formulate conditions for which the Bayesian Nash equilibrium of the resulting global game is monotonically increasing in the quality of the logical channel. This leads to a simple characterization of the competitive optimal behavior of the system as a function of the prior probability distribution of spectrum hole occupancy, channel quality and observation noise.","PeriodicalId":171474,"journal":{"name":"2010 2nd International Workshop on Cognitive Information Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699389","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}