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92
Dynamic power management in wireless sensor networks
 IEEE Design and Test of Computer 18
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Decoupling dynamical systems for pathway identification from metabolic profiles
 Bioinformatics
, 2004
"... Rationale: Modern molecular biology is generating data of unprecedented quantity and quality. Particularly exciting for biochemical pathway modeling and proteomics are comprehensive, timedense profiles of metabolites or proteins that are measurable, for instance, with mass spectrometry, nuclear mag ..."
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Cited by 30 (3 self)
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Rationale: Modern molecular biology is generating data of unprecedented quantity and quality. Particularly exciting for biochemical pathway modeling and proteomics are comprehensive, timedense profiles of metabolites or proteins that are measurable, for instance, with mass spectrometry, nuclear magnetic resonance, or protein kinase phosphorylation. These profiles contain a wealth of information about the structure and dynamics of the pathway or network from which the data were obtained. The retrieval of this information requires a combination of computational methods and mathematical models, which are typically represented as systems of ordinary differential equations. Results: We show that, for the purpose of structure identification, the substitution of differentials with estimated slopes in nonlinear network models reduces the coupled system of differential equations to several sets of decoupled algebraic equations, which can be processed efficiently in parallel or sequentially. The estimation of slopes for each time series of the metabolic or proteomic profile is accomplished with a “universal function ” that is computed directly from the data by crossvalidated training of an artificial neural network (ANN).
A Unified Approach to the SteadyState and Tracking Analyses of Adaptive Filters
 IEEE Trans. Signal Processing
, 2001
"... Most adaptive filters are inherently nonlinear and timevariant systems. The nonlinearities in the update equations tend to lead to difficulties in the study of their steadystate performance as a limiting case of their transient performance. This paper develops a unified approach to the steadystat ..."
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Cited by 17 (5 self)
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Most adaptive filters are inherently nonlinear and timevariant systems. The nonlinearities in the update equations tend to lead to difficulties in the study of their steadystate performance as a limiting case of their transient performance. This paper develops a unified approach to the steadystate and tracking analyses of adaptive algorithms that bypasses many of these difficulties. The approach is based on studying the energy flow through each iteration of an adaptive filter, and it relies on a fundamental error variance relation. Index Terms  adaptive filter, meansquare error, feedback analysis, tracking analysis, steadystate analysis, transient analysis. I.
Downlink Channel Decorrelation in CDMA Systems with Long Codes
 in Proc. IEEE Veh. Technol. Conf
, 1999
"... In this paper we develop linear detectors suitable for a Code Division Multiple Access (CDMA) mobile receiver using long codes. The special signal structure in the downlink transmission is exploited to obtain a simple detection rule. A leastsquares (LS) detector, a best linear unbiased estimator (B ..."
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In this paper we develop linear detectors suitable for a Code Division Multiple Access (CDMA) mobile receiver using long codes. The special signal structure in the downlink transmission is exploited to obtain a simple detection rule. A leastsquares (LS) detector, a best linear unbiased estimator (BLUE) detector, and a linear minimum meansquare error (LMMSE) detector are derived. For the LMMSE detector we consider an adaptive implementation. The results show that improvement can be achieved using the proposed detectors compared with that of the conventional RAKE receiver. I. INTRODUCTION In CDMA reception at the mobile end there are several special requirements. The resources for processing are severely constrained by the physical size of the receiver and the strict limitations for power consumption. Furthermore, the other users' codes are not necessarily known at the mobile receiver and the estimation of other users' channel parameters especially may involve too complex processing ...
A design methodology for highlyintegrated lowpower receivers for wireless communications
, 2001
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Noncoherent MMSE multiuser receivers and their blind adaptive implementations
 IEEE Trans. Communications
, 2002
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Adaptive Multiuser Receivers for DSCDMA Using Minimum BER GradientNewton Algorithms
"... In this paper we investigate the use of adaptive minimum bit error rate (MBER) GradientNewton algorithms in the design of linear multiuser receivers (MUD) for DSCDMA systems. The proposed algorithms approximate the bit error rate (BER) from training data using linear multiuser detection structures ..."
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Cited by 4 (0 self)
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In this paper we investigate the use of adaptive minimum bit error rate (MBER) GradientNewton algorithms in the design of linear multiuser receivers (MUD) for DSCDMA systems. The proposed algorithms approximate the bit error rate (BER) from training data using linear multiuser detection structures. A comparative analysis of linear MUDs, employing minimum mean squared error (MMSE), previously reported MBER and the proposed MBER algorithms is carried out. Computer simulation experiments show that the MBER GradientNewton approaches outperform other analysed algorithms and can operate with shorter training sequences. I.
Characterization and Comparison of Google Cloud Load versus Grids. http: //hal.archivesouvertes.fr/hal00705858
, 2012
"... Abstract—A new era of Cloud Computing has emerged, but the characteristics of Cloud load in data centers is not perfectly clear. Yet this characterization is critical for the design of novel Cloud job and resource management systems. In this paper, we comprehensively characterize the job/task load a ..."
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Abstract—A new era of Cloud Computing has emerged, but the characteristics of Cloud load in data centers is not perfectly clear. Yet this characterization is critical for the design of novel Cloud job and resource management systems. In this paper, we comprehensively characterize the job/task load and host load in a realworld production data center at Google Inc. We use a detailed trace of over 25 million tasks across over 12,500 hosts. We study the differences between a Google data center and other Grid/HPC systems, from the perspective of both work load (w.r.t. jobs and tasks) and host load (w.r.t. machines). In particular, we study the job length, job submission frequency, and the resource utilization of jobs in the different systems, and also investigate valuable statistics of machine’s maximum load, queue state and relative usage levels, with different job priorities and resource attributes. We find that the Google data center exhibits finer resource allocation with respect to CPU and memory than that of Grid/HPC systems. Google jobs are always submitted with much higher frequency and they are much shorter than Grid jobs. As such, Google host load exhibits higher variance and noise. I.
Adaptive power control in CDMA cellular communication systems
, 2005
"... Power control is an essential radio resource management method in CDMA cellular communication systems, where cochannel interference is the primary capacitylimiting factor. Power control aims to control the transmission power levels in such a way that acceptable quality of service for the users is ..."
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Cited by 2 (1 self)
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Power control is an essential radio resource management method in CDMA cellular communication systems, where cochannel interference is the primary capacitylimiting factor. Power control aims to control the transmission power levels in such a way that acceptable quality of service for the users is guaranteed with lowest possible transmission powers. All users benefit from the minimized interference and the preserved signal qualities. In this thesis new closed loop power control algorithms for CDMA cellular communication systems are proposed. To cope with the random changes of the radio channel and interference, adaptive algorithms are considered that utilize ideas from selftuning control systems. The inherent loop delay associated with closed loop power control can be included in the design process, and thus alleviated with the proposed methods. Another problem in closedloop power control is that extensive control signaling consumes radio resources, and thus the control feedback bandwidth must be limited. A new approach to enhance the performance of closedloop power control in limitedfeedbackcase is presented, and power control algorithms based on the new approach are proposed. The performances of
Multichannel fast QRdecomposition RLS algorithms with explicit weight extraction
 Proc. EUSIPCO’2006
, 2006
"... Multichannel fast QR decomposition recursive leastsquares (MCFQRDRLS) algorithms are well known for their good numerical properties and low computational complexity. However, these algorithms have been restricted to problems seeking an estimate of the output error signal. This is because their t ..."
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Multichannel fast QR decomposition recursive leastsquares (MCFQRDRLS) algorithms are well known for their good numerical properties and low computational complexity. However, these algorithms have been restricted to problems seeking an estimate of the output error signal. This is because their transversal weights are embedded in the algorithm variables and are not explicitly available. In this paper we present a novel technique that can extract the filter weights associated with the MCFQRDRLS algorithm at any time instant. As a consequence, the range of applications is extended to include problems where explicit knowledge of the filter weights is required. The proposed weight extraction technique is used to identify the beampattern of a broadband adaptive beamformer implemented with an MCFQRDRLS algorithm. The results confirm that the extracted coefficients of the MCFQRDRLS algorithm are identical to those obtained by any RLS algorithm such as the inverse QRDRLS algorithm. 1.