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2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers

4-7 Nov. 2007

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  • [Front cover]

    Publication Year: 2007, Page(s): C1
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  • Conference Record of The Forty-First Asilomar Conference on Signals, Systems & Computers

    Publication Year: 2007, Page(s): i
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  • Conference Record of The Forty-First Asilomar Conference on Signals, Systems & Computers

    Publication Year: 2007, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2007, Page(s): iv
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  • Table of contents

    Publication Year: 2007, Page(s):v - xxvii
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  • Student Paper Contest Finalists

    Publication Year: 2007
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  • Foreword

    Publication Year: 2007, Page(s): xxix
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  • [Breaker page]

    Publication Year: 2007, Page(s): 1
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  • Non-Cancellation Multistage Kurtosis Maximization with Prewhitening for Blind Source Separation

    Publication Year: 2007, Page(s):3 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB) | HTML iconHTML

    Chi et al. recently proposed two effective non-cancellation multistage (NCMS) blind source separation algorithms, one using the turbo source extraction algorithm (TSEA), called the NCMS-TSEA, and the other using the fast kurtosis maximization algorithm (FKMA), called the NCMS-FKMA. Their computational complexity and performance heavily depend on the dimension of multi-sensor data, i.e., number of ... View full abstract»

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  • Separating composite signals in multi-probe dynamic biomedical imaging

    Publication Year: 2007, Page(s):9 - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (548 KB) | HTML iconHTML

    Multi-probe dynamic biomedical imaging promises powerful tools for the visualization and elucidation of complex biological processes. Recent research aims to simultaneously dissect the spatial-temporal distributions of source signals that often represent a composite of multiple biomarkers independent of spatial resolution. We report a hybrid unmixing method for separating non-negative dependent im... View full abstract»

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  • Blind Separation and Equalization Using Novel Hill-Climbing Optimization

    Publication Year: 2007, Page(s):13 - 16
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    In this paper, we construct a maximum-likelihood-equivalent metric or auxiliary function, which can result in a novel expectation-maximization Hill-Climbing (EM-HC) optimization procedure; it can be easily implemented for the estimation, detection and clustering applications since it is based on the simple auxiliary function. In this paper, one major application of our new EM-HC method, namely the... View full abstract»

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  • An Improved L1-Norm Algorithm for Underdetermined Blind Source Separation Using Sparse Representation

    Publication Year: 2007, Page(s):17 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1514 KB) | HTML iconHTML

    An algorithm is presented for underdetermined blind source separation, i.e., the number of observed signals is less than that of original sources. Traditional solutions based on minimizing the L1-norm have some disadvantages in searching the optimal sub-matrix for separation. In the proposed algorithm, first we use a potential function to estimate the mixing matrix by clustering method.... View full abstract»

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  • Variable Tap Length Convolutive Blind Source Separation

    Publication Year: 2007, Page(s):22 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (848 KB) | HTML iconHTML

    In this work, we adopt the concept of 'variable tap length' in convolutive blind source separation. This relatively new concept has attracted attention in the field of adaptive signal processing, notably the least mean square (LMS) algorithm. However, to our best knowledge, this concept has not yet been introduced in the context of blind signal processing, where the desired signal is not available... View full abstract»

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  • [Breaker page]

    Publication Year: 2007, Page(s): 27
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  • Robust Intervention in Probabilistic Boolean Networks

    Publication Year: 2007, Page(s):29 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1910 KB) | HTML iconHTML

    One of the objectives of genetic regulatory network modeling is to design intervention approaches for affecting the time evolution of the gene activity profile of the network. The intervention strategies proposed in the context of Probabilistic Boolean Networks(PBNs) assume perfect knowledge of the transition probability matrix of the PBN. This assumption cannot be satisfied in practice due to est... View full abstract»

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  • Probabilistic Methods for Improving Efficiency of RNA Secondary Structure Prediction across Multiple Sequences

    Publication Year: 2007, Page(s):34 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2379 KB) | HTML iconHTML

    Prediction of common secondary structure across multiple RNA sequences is known to significantly increase accuracy in comparison with single-sequence based prediction methods. However, the computational requirements for joint prediction can often be daunting in comparison to single-sequence prediction. As a result, heuristic simplifications are often necessary for this joint estimation problem in ... View full abstract»

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  • Framework for the Identification of Common Variations in Multiple DNA Copy Number Samples

    Publication Year: 2007, Page(s):39 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2998 KB) | HTML iconHTML

    diseases such as cancer and autism. Microarray techniques are used to detect copy number variations with high- resolution. However, the observed copy numbers are corrupted by noise, making variations breakpoints hard to detect. Various techniques had been proposed to uncover the true copy number changes. In this study, we provide a framework for the analysis of copy number datasets. It is divided ... View full abstract»

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  • Fast Structural Similarity Search of Noncoding RNAs Based on Matched Filtering of Stem Patterns

    Publication Year: 2007, Page(s):44 - 48
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2211 KB) | HTML iconHTML

    Many noncoding RNAs (ncRNAs) have characteristic secondary structures that give rise to complicated base correlations in their primary sequences. Therefore, when performing an RNA similarity search to find new members of a ncRNA family, we need a statistical model - such as the profile- csHMM or the covariance model (CM) - that can effectively describe the correlations between distant bases. Howev... View full abstract»

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  • A Deterministic Method for Haplotype Inference

    Publication Year: 2007, Page(s):49 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB) | HTML iconHTML

    Haplotypes are widely used in the analysis of relationship between genetics and diseases. Due to the cost of obtaining exact haplotype pairs, genotypes which contain the un-phased information corresponding to the haplotype pairs in the test subjects are used. Various haplotype inference algorithms have been proposed to resolve the un-phased information. In this paper, we propose a deterministic se... View full abstract»

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  • [Breaker page]

    Publication Year: 2007, Page(s): 55
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  • Asymptotic Capacity of Orthogonal Multi-Level Amplify-and-Forward Relay Networks

    Publication Year: 2007, Page(s):57 - 61
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1380 KB) | HTML iconHTML

    This paper analyzes the capacity of a wireless relay network composed of a large number of nodes that operate in an amplify-and-forward mode and that divide into a fixed number of levels. The source and relays are only allowed to operate at given time slots, while the destination can receive signals all the time. The capacity computation relies on the study of products of large random matrices, wh... View full abstract»

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  • Asymptotic Spectral Efficiency Analysis of the DS/CDMA Amplify and Forward Relay Channel

    Publication Year: 2007, Page(s):62 - 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1361 KB) | HTML iconHTML

    This paper considers an amplify and forward DS/CDMA cooperative relay system with half-duplex relays. Given different receive structures for this scenario, the asymptotic spectral efficiency is analyzed assuming that the spreading factor and the information block length go to infinity at the same rate. The objective of this analysis is to identify the cases where transmission diversity, introduced... View full abstract»

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  • On the Capacity of Asynchronous CDMA Systems

    Publication Year: 2007, Page(s):67 - 71
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1060 KB) | HTML iconHTML

    The total capacity per chip constrained to a given chip pulse waveform of asynchronous code division multiple access (CDMA) channels with random spreading and subject to frequency-flat fading is investigated in the large system limit. The analysis in terms of signal to interference and noise ratio (SINR) is extended to CDMA systems with linear minimum mean square error (MMSE) detectors. The system... View full abstract»

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  • Free Deconvolution for MIMO Capacity Estimation

    Publication Year: 2007, Page(s):72 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB) | HTML iconHTML

    In many channel measurement applications, one needs to estimate some characteristics of the channels based on a limited set of measurements. This is mainly due to the highly time varying characteristics of the channel. In this contribution, it will be shown how free probability can be used for channel capacity estimation in MIMO systems. Free probability has already been shown to be an invaluable ... View full abstract»

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  • Second-order statistics of large isometric matrices and applications to MMSE SIR

    Publication Year: 2007, Page(s):77 - 80
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1472 KB) | HTML iconHTML

    In this paper we introduce a diagrammatic method to calculate asymptotic statistics of functions of large random isometric matrices. We have applied this method to calculate the mean and variance of the MMSE SIR for downlink synchronous CDMA systems. We compare our results to numerical simulations using three types of randomly generated isometric matrices, namely complex unitary Haar matrices, rea... View full abstract»

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