Showing 1-25 of 2,329 resultsfor "Index Terms":Present Estimates
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Time-of-Flight Estimation in the Presence of Outliers. Part II—Multiple Echo Processing
The mean squared error of the classical maximum likelihood time-of-flight (ToF) estimator increases dramatically when the signal-to-noise ratio falls below a certain threshold. For narrow-band signals, this well-known threshold effect occurs largely due to the biased outliers which are induced by the local maxima of the source signal autocorrelation function. In our previous work (Part I), we have...Show More
Described in this recommended practice are methods for estimating the costs of industrial and commercial power systems, both new and those undergoing expansion or modernization. This recommended practice is restricted to the development of the relative capital cost of industrial and commercial power distribution systems. While this document briefly points out considerations related to total cost o...Show More
Described in this recommended practice are methods for estimating the costs of industrial and commercial power systems, both new and those undergoing expansion or modernization. This recommended practice is restricted to the development of the relative capital cost of industrial and commercial power distribution systems. While this document briefly points out considerations related to total cost o...Show More
Described in this recommended practice are methods for estimating the costs of industrial and commercial power systems, both new and those undergoing expansion or modernization. This recommended practice is restricted to the development of the relative capital cost of industrial and commercial power distribution systems. While this document briefly points out considerations related to total cost o...Show More
Described in this recommended practice are methods for estimating the costs of industrial and commercial power systems, both new and those undergoing expansion or modernization. This recommended practice is restricted to the development of the relative capital cost of industrial and commercial power distribution systems. While this document briefly points out considerations related to total cost o...Show More
A Unified Framework and Sparse Bayesian Perspective for Direction-of-Arrival Estimation in the Presence of Array Imperfections
Self-calibration methods play an important role in reducing the negative effects of array imperfections during direction-of-arrival (DOA) estimation. However, the dependence of most such methods on the eigenstructure techniques greatly degrades their adaptation to demanding scenarios, such as low signal-to-noise ratio (SNR) and limited snapshots. This paper aims at formulating a unified framework ...Show More
The Asymmetry of Image Registration and Its Application to Face Tracking
Most image registration problems are formulated in an asymmetric fashion. Given a pair of images, one is implicitly or explicitly regarded as a template and warped onto the other to match as well as possible. In this paper, we focus on this seemingly arbitrary choice of the roles and reveal how it may lead to biased warp estimates in the presence of relative scaling. We present a principled way of...Show More
Energy-Efficient Time-of-Flight Estimation in the Presence of Outliers: A Machine Learning Approach
The time-of-flight (ToF) estimation problem is common in sonar, ultrasound, radar, and other remote sensing applications. The conventional ToF maximum-likelihood estimator (MLE) exhibits a rapid deterioration in the accuracy when the signal-to-noise ratio (SNR) falls below a certain threshold. This threshold effect emerges mostly due to appearance of outliers associated with the side lobes in the ...Show More
MIMO schemes are applied in automotive radar to improve resolution and SNR performance. Practically relevant use cases, which typically require high-resolution angle estimation, include horizontal or vertical multipath. In these situations, the standard two-target model is not valid anymore when MIMO schemes are employed, and model-based angle estimation needs to be extended. We present signal mod...Show More
Quantum parameter estimation is of fundamental importance in physics. Quantum resources, involving for instance entangled probes, offer a significant improvement in estimation precision over classical strategies for closed quantum systems. However, when noises such as decoherence are taken into account, the quantum gain may be jeopardized. In this paper, we show how the amplitude-damping decoheren...Show More
Adaptive distributed Estimation Fusion algorithm based on the Consensus Averaging algorithm
2009 International Conference on Communications, Circuits and Systems
Year: 2009 | Conference Paper |
This paper focuses on the distributed iterative parameter estimation scheme, based on the consensus averaging algorithm, for estimating an unknown parameter from the noisy measurements. A new spatio-temporal adaptive algorithm, called the Consensus Averaging-based Adaptive Estimation Fusion (CA-AEF) algorithm is proposed, which accelerates the convergence rate of the current distributed iterative ...Show More
Performance of correlation estimators for spaced-antenna wind measurement in the presence of noise
The theoretical accuracy of baseline winds, estimated using spaced antennas (SA) and a full correlation analysis (FCA) method to process signals in the presence of noise, is derived assuming horizontally isotropic refractive index perturbations with a horizontal scale small compared to the transmitting antenna diameter D. This performance of the FCA method is compared with the theoretical performa...Show More
Regularized least square based identification for Wiener systems
2016 11th International Conference on Industrial and Information Systems (ICIIS)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
This paper presents a regularized least square algorithm for Wiener system identification by using bilinear parameterized formulation. This method is based on the decomposition of model form and assumes the invertibility of the non-linearity involved in the modeling of wiener model. In addition, the output of the linear block is corrupted with noise signal resulting in a model with correlated nois...Show More
The radio signal phase estimate efficiency under the fast fades
Alexandra V. Salnikova;Oleg V. Chernoyarov;Leila A. Golpayegani;Alexander V. Zakharov
2018 ELEKTRO
Year: 2018 | Conference Paper |
Our study is concerned with the narrow-band radio signals phase estimation when these signals are deformed by fades and observed against white noise. Unlike the approach presented in the popular studies, we presume these fades to be fast, i.e. the fades correlation time is much less than the signal duration. We also consider the amplitude and the phase of the fading signal component as having Rayl...Show More
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
As contemporary software-intensive systems reach increasingly large scale, it is imperative that failure detection schemes be developed to help prevent costly system downtimes. A promising direction towards the construction of such schemes is the exploitation of easily available measurements of system performance characteristics such as average number of processed requests and queue size per unit ...Show More
Space-time adaptive processing in stable impulsive interference
Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers
Year: 1996 | Conference Paper |
This paper studies methods for space-time adaptive processing-based (STAP-based) parameter estimation in the presence of impulsive noise backgrounds. Towards this goal, the theory of alpha-stable random processes provides an elegant and mathematically tractable framework for the solution of the detection and parameter estimation problems in the presence of impulsive radar clutter. We develop joint...Show More
Robust parameter estimation in the presence of nuisance parameters
Proceedings of 19th Convention of Electrical and Electronics Engineers in Israel
Year: 1996 | Conference Paper |
This paper presents a new, robust algorithm for parameter estimation in the presence of unknown nuisance parameters. The proposed algorithm is based on a decomposition of the data into subspaces characterized by their sensitivities to the errors in the nuisance parameters. The importance of this decomposition is that it isolates a subspace of the data which is not a function of the unknown nuisanc...Show More
Electromechanical Mode Estimation in the Presence of Periodic Forced Oscillations
Electromechanical modes are inherent to any interconnected power systems which provide a measure of the small-signal stability margin of the system. A number of algorithms have been developed for the estimation of these modes using synchrophasor measurements. However, most of these algorithms are not designed to operate in the presence of forced oscillations (FO). These FOs are results of periodic...Show More
Sensor Bias Estimation Based on Ridge Least Trimmed Squares
A robust sensor bias estimation approach, named as the ridge least trimmed squares (RLTS), is proposed. Combing the advantages of ridge regression and least trimmed squares, RLTS can solve the sensor bias estimation problem with the presence of misassociations and ill-conditioning. Simulation results verify the effectiveness of the proposed approach.Show More
Resilient Corner-Based Vehicle Velocity Estimation
Mohammad Pirani;Ehsan Hashemi;Amir Khajepour;Baris Fidan;Alireza Kasaiezadeh;Shih-Ken Chen;Bakhtiar Litkouhi
This paper presents longitudinal and lateral velocity estimators by considering the effect of the suspension compliance (SC) at each corner (tire) for ground vehicles. The estimators are developed to be resilient to sensor measurement inaccuracies, model and tire parameter uncertainties, switchings in observer gains, and measurement failures. More particularly, the stability of the observer is inv...Show More
Metallicity estimates for A-, F-, and G-type stars from the Edinburgh-Cape Blue Object Survey
The Edinburgh-Cape Blue Object Survey is an ongoing project to identify and analyse a large sample of hot stars selected initially on the basis of photographic colours (down to a magnitude limit $B\sim 18.0)$ over the entire high-Galactic-latitude southern sky, and then studied with broad-band UBV photometry and medium-resolution spectroscopy. Due to unavoidable errors in the initial candidate sel...Show More
Benefit and Cost Analysis of the Installation of Rooftop Solar PV with Battery System
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
Over the last few years, rooftop solar PV system receives high interest due to its rapid cost reduction. Nowadays, installing the rooftop solar PV can help reduce overall electricity bill of the owner throughout the lifetime of the system. However, in some countries including Thailand, selling large amount of power output from the rooftop solar PV to the grid may not be allowed, due to the strict ...Show More
A more practical CPA attack against present hardware implementation
Chenxu Wang;Mingyan Yu;Jinxiang Wang;Peihe Jiang;Xiaochen Tang
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems
Year: 2012 | Conference Paper |
Cited by: Papers (3)
In CHES 2007, Bogdanov et al. proposed an ultra-lightweight block cipher named PRESENT, which has been included in the new international standard ISO/IEC 29192-2:2012. The correlation power analysis (CPA) attack against PRESENT is discussed in this paper. The first power analysis attack against the hardware implementation of PRESENT has been proposed by Zhang et al. in 2010. In this paper, we prop...Show More
The Optimal Concession Period in the Built-Operate-Transfer Project
2010 International Conference on Management of e-Commerce and e-Government
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Built-operate-transfer (BOT) is becoming an increasingly popular option of project delivery, and the concession period is a key decision faced by both the government and private investor. Therefore, this paper aims to optimize the concession period in the BOT project by using net present value (NPV). Due to the difficulties in estimating the long-term uncertainties, this paper develops a Monte Car...Show More
We present new methods for lensing reconstruction from CMB temperature fluctuations which have smaller mean-field and reconstruction noise bias corrections than current lensing estimators, with minimal loss of signal to noise. These biases are usually corrected using Monte Carlo simulations, and to the extent that these simulations do not perfectly mimic the underlying sky, there are uncertainties...Show More
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