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检索条件"主题词=Robust algorithm"

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Subband Adaptive Filtering for Active Broadband Noise Control with Application to Road Noise Inside Vehicles

Subband Adaptive Filtering for Active Broadband Noise Contro...

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作者： Long, Guo University of Cincinnati

学位级别：Ph.D.

Broadband active noise control (ANC) presents challenges due to both computational demand and slow convergence. Subband adaptive filter (SAF) has hence been introduced to address these challenges, especially when the broadband noise is with large spectral dynamic range and the ANC system model has long impulse response. The study of subband ANC usually requires a broad understanding of the general broadband ANC, as well as the SAF architecture including the analysis filter bank for signal decomposition, the adaptive algorithm for subband filter weights adaptation, and the weight stacking for combining subband filter weights into a fullband noise cancelling filter. A more in-depth understanding of a general broadband ANC is needed to help predict the potentially maximum attenuation level of a subband ANC, and guide the way how the system could be effectively initialized for rapid convergence. The design of SAF architecture for broadband ANC remains very challenging, which needs a trade-off between various effects including delay and spectral leakage due to analysis filter bank, computational cost of subband adaptive algorithm, and weight stacking distortion. This necessitates an effective method to find out an optimal parametric design solution for the subband ANC. In practice, many unwanted interferences and high-amplitude disturbances may threaten the effectiveness, stability and robustness of subband ANC, which has not been thoroughly investigated. Thus, we develop an effective and computationally efficient subband ANC system with robust adaptive control algorithms for broadband noise. First, this dissertation presents the maximum achievable noise reduction of a general feedforward broadband ANC system corresponding to the optimal filter under causality constraint. This optimal causal filter helps guide the initialization of the filter with finite length, and guarantees rapid convergence and maximum attenuation performance. Besides theoretical analysis, numerical

关键词： Mechanical Engineering Active noise control Broadband noise Subband adaptive filter Road noise robust algorithm Genetic algorithm

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New Polynomial Cases of the Weighted Efficient Domination Problem

New Polynomial Cases of the Weighted Efficient Domination Pr...

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38th International Symposium on Mathematical Foundations of Computer Science (MFCS)

作者： Brandstaedt, Andreas Milanic, Martin Nevries, Ragnar Univ Rostock Inst Informat D-18051 Rostock Germany Univ Primorska UP IAM SI-6000 Koper Slovenia Univ Primorska UP FAMNIT SI-6000 Koper Slovenia

ISBN: (纸本)9783642403132;9783642403125

Let G be a finite undirected graph. A vertex dominates itself and its neighbors in G. A vertex set D is an efficient dominating set (e.d. for short) of G if every vertex of G is dominated by exactly one vertex of D. The Efficient Domination (ED) problem, which asks for the existence of an e.d. in G, is known to be NP-complete even for very restricted graph classes. In particular, the ED problem remains NP-complete for 2P(3)-free graphs and thus for P-7-free graphs. We show that the weighted version of the problem (abbreviated WED) is solvable in polynomial time on various subclasses of P-7-free graphs, including (P-2 + P-4)-free graphs, P-5-free graphs and other classes. Furthermore, we show that a minimum weight e.d. consisting only of vertices of degree at most 2 (if one exists) can be found in polynomial time. This contrasts with our NP-completeness result for the ED problem on planar bipartite graphs with maximum degree 3.

关键词： efficient domination P-k-free graphs polynomial-time algorithm robust algorithm

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Voluminator-Approximating the Volume of 3D Buildings to Overcome Topological Errors 18th

Voluminator-Approximating the Volume of 3D Buildings to Over...

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18th Association-of-Geographic-Information-Laboratories-for-Europe Conference on Geographic Information Science (AGILE)

作者： Steuer, Horst Machl, Thomas Sindram, Maximilian Liebel, Lukas Kolbe, Thomas H. Tech Univ Munich Munich Germany

ISBN: (纸本)9783319167879;9783319167862

Many research fields analysing urban space depend on 3D city models. However, 3D city models still are often of a low geometric quality. Due to topological errors it is not possible to compute volumetric information for many buildings in real world datasets using analytical approaches. Since this volumetric information is important for many applications we present a method to approximate the volume of building models overcoming topological errors. The method is based on a voxelisation and a generalisation of the point-in-polygon test to three dimensions. We show in extensive tests that the method produces accurate results and is able to cope with different types of errors. Beyond the computation of volumes, the proposed approach potentially has a high impact for numerous applications like healing of building models, indoor routing or model transformation.

关键词： Building models Topological errors Approximation Voxelisation robust algorithm

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Performance Analysis of Uniform Concentric Circular Antenna Array Beamformer Using Different DOA Estimation Technique 4

Performance Analysis of Uniform Concentric Circular Antenna ...

引用

4th International Conference on Electrical Engineering and Information and Communication Technology (iCEEiCT)

作者： Sarkar, Pallab Kumar Reza, M. F. Rajshahi Univ Engn & Technol Dept Elect & Elect Engn Rajshahi 6204 Bangladesh

ISBN: (纸本)9781538682791

This paper represents the performance analysis of Concentric Circular Antenna Array (CCAA). CCAA structure is chosen, because it has the ability to scan the signal from 00 to 3600. Different direction of arrival (DOA) estimation techniques are proposed to analyze the performance of CCAA structure in this paper. This paper first compares the performance of CCAA beamformer with Uniform Circular Array (UCA) using Multiple Signal Classification (MUSIC), Minimum Variance Distortion less Response (MVDR) and Beamscan DOA estimation techniques. It is observed that MUSIC algorithm offers better performance for CCAA structure. It is also observed that there is subtle mismatch occurs between actual signal direction and estimated signal direction obtaining from DOA techniques. The performance of beamformer degrades if the actual signal direction is not exactly same with estimated direction. This paper also presents robust beamforming technique to resolve the problem occurs due to mismatch between actual and estimated signal direction.

关键词： Smart antenna CCAA DOA estimation Beamforming robust algorithm

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Finding Triangles in Restricted Classes of Graphs

引用

Electronic Notes in Discrete Mathematics 2006年 27卷 25-26页

作者： Eschen, Elaine Spinrad, Jeremy Computer Science and Electrical Engineering West Virginia University Morgantown United States Electrical Engineering and Computer Science Vanderbilt University Nashville United States

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Deep multi-view robust representation learning

Deep multi-view robust representation learning

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Zhenyu Jiao Chao Xu School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (纸本)9781509041183

Multi-view representations are widely existed in practical applications, the quality of latent representation learned from multi-view observations often suffer from noise and outliers in original data. In this work, we propose an auto encoder based deep multi-view robust representation learning (DMRRL) algorithm, which can learn a shared representation from multi-view observations and the algorithm is robust to noise and outliers by using Cauchy estimator as loss function. When the label of the original data is available, the algorithm can gain better representation by adding an auxiliary loss. We validate our methods on the CMU PIE dataset (noise applied) with face recognition task and UCF101 dataset with human motion recognition task, demonstrating that DMRRL is an effective algorithm for practical applications.

关键词： Multi-view learning Cauchy Estimators auto encoder robust algorithm

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Multi-Stage Stabilization of ROMs in Strongly Nonlinear Systems

Multi-Stage Stabilization of ROMs in Strongly Nonlinear Syst...

引用

AIAA Aviation Forum

作者： Rezaian, Elnaz Wei, Mingjun Kansas State Univ Dept Mech & Nucl Engn Manhattan KS 66506 USA

ISBN: (数字)9781624105982

ISBN: (纸本)9781624105982

The standard model order reduction procedure by POD-Galerkin projection does not guarantee the closure of reduced-order dynamical systems, thus the stability and accuracy of the models may be compromised when the dynamically observable signatures are not populated in low-frequency responses. Turbulence and unsteady shock waves, among an abundance of fluid mechanics phenomena, are two examples with important high-frequency or small-scale contributions. Efficient stabilization algorithms are therefore essential to the projection-based model reduction procedure. When strong unsteady shock-wake interactions, a highly nonlinear phenomenon, are present in the flow, a linearized Reduced-Order Model (ROM) is not accurate even after stabilization. A nonlinear ROM on the other hand may keep the accuracy after stabilization, but requires a fairly large number of bases for convergence. Among a few stabilization methods previously developed for nonlinear ROMs, the ERN algorithm is used in this study to stabilize the ROM by an eigenvalue reassignment method implemented as an optimization problem constrained by negative total power. Despite its computational efficiency in smaller ROMs, the ERN algorithm becomes computationally more expensive and may fail as the number of unstable modes increases in ROMs with larger number of bases. To solve this problem in the stabilization of relatively large-size nonlinear ROMs, a multi-stage approach is proposed to divide the optimization process of the ERN algorithm into a few stages, where each stage contains only a small number of unstable modes for an overall more efficient and robust algorithm. It is shown that the computational cost and accuracy of the ERN algorithm significantly benefits from the new stabilization layout in the application to a nonlinear ROM created from the snapshots of the supersonic flow over a triangular prism.

关键词： Nonlinear Systems Compressible Flow Model Order Reduction Shock Waves Frequency Response robust algorithm Fluid Mechanics Model Predictive Control Euler Equations Direct Numerical Simulation

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Performance Analysis of Acoustic Microphone Array Beamformer in the Presence of Interfering Signal 2

Performance Analysis of Acoustic Microphone Array Beamformer...

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2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)

作者： Hossein, M. T. Hossain, M. S. Reza, M. F. Rajshahi Univ Engn & Technol RUET Dept Elect & Elect Engn Rajshahi 6204 Bangladesh

ISBN: (纸本)9781509057856

The acoustic beamformer is an important tool which is used in many environments to focus on a specific sound among many reverberations. This paper presents an acoustic microphone array beamformer in the presence of unwanted signal. Time delay and Frost beamforming techniques are used with microphone array to reduce the noise and cancel the interfering signal respectively. The presented beamformers can be able to increase the system SNR without array mismatch. The performance of the time delay and Frost microphone arrays will degrade in the presence of array imperfections. To improve the system performance a robust algorithm is addressed in this paper. The extensive computer simulation is presented to analyze the performance of the acoustic beamformer with different scenarios.

关键词： Acoustic beamformer array time delay beamforming Frost beamforming SNR robust algorithm array gain

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Online allocation with traffic spikes: Mixing adversarial and stochastic models 15

Online allocation with traffic spikes: Mixing adversarial an...

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16th ACM Conference on Economics and Computation, EC 2015

作者： Esfandiari, Hossein Korula, Nitish Mirrokni, Vahab University of Maryland United States Google Research New YorkNY United States

ISBN: (纸本)9781450334105

Motivated by Internet advertising applications, online allocation problems have been studied extensively in various adversarial and stochastic models. While the adversarial arrival models are too pessimistic, many of the stochastic (such as i.i.d or random-order) arrival models do not realistically capture uncertainty in predictions. A significant cause for such uncertainty is the presence of unpredictable traffic spikes, often due to breaking news or similar events. To address this issue, a simultaneous approximation framework has been proposed to develop algorithms that work well both in the adversarial and stochastic models;however, this framework does not enable algorithms that make good use of partially accurate forecasts when making online decisions. In this paper, we propose a robust online stochastic model that captures the nature of traffic spikes in online advertising. In our model, in addition to the stochastic input for which we have good forecasting, an unknown number of impressions arrive that are adversarially chosen. We design algorithms that combine an stochastic algorithm with an online algorithm that adaptively reacts to inaccurate predictions. We provide provable bounds for our new algorithms in this framework. We accompany our positive results with a set of hardness results showing that that our algorithms are not far from optimal in this framework. As a byproduct of our results, we also present improved online algorithms for a slight variant of the simultaneous approximation framework.

关键词： stochastic analyses robust algorithm factor revealing lp traffic spikes online advertisments budgeted allocation online allocation

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Probing of two-dimensional grid patterns by means of camera based image processing

Probing of two-dimensional grid patterns by means of camera ...

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Conference on Machine Vision Applications in Industrial Inspection VIII

作者： Schroeck, M Doiron, T Inst Phys High Technol Jena Germany

ISBN: (纸本)0819435848

Camera based probes and machine vision have found increased use in coordinate measuring machines over the past years and the calibration of artifacts for these probes has become an important task for NIST. Until recently these artifacts have been calibrated using one or two dimensional measuring machines with electro-optic microscopes or scanning devices as probes. These sensors evaluate only a small section of the edge of a grid mark, and irregularities in this particular spot from local deformations or contamination influence the measurement result. Since these measurements result in a single number based on the entire field of view, the influence of small irregularities are not easily detected. Since different probes scan different parts of the grid mark edge they may give systematically different positions of the mark. The conversion to video based sensors has allowed more flexibility it edge detection, although most instruments still use least squares fits as the substitute geometry of straight edges. This method is very susceptible to noise and edge irregularities. We present some experiments for finding the sub-pixel edge point locations and fitting the set of edge points to a line using a fairly simple least sum of absolute deviations fit. Data from a high accuracy 2D measuring machine is used to show the strengths of the algorithms.

关键词： robust algorithm computer vision edge finding least sum of absolute deviations

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