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International Conference on Wireless Networks, Communications and Mobile Computing

作者： F. De Angelis I. Habib City College City University of New York USA

This paper presents an adaptive filtering algorithm for the delivery of multimedia content with different quality of service (QoS) requirements in time-varying wideband code-division multiple access (W-CDMA) cellular networks. The algorithm objective is to guarantee levels of quality for two different user defined profiles (premium, or economy), while attempting to maximize the allocation of the radio channel bandwidth and maintaining the QoS requirements of downloaded traffic flows (audio, video, and data). Our proposed solution is based upon utilizing genetic algorithms (GAs) to solve a multi-objective function that selects, during a control period, the bit rates and formats for the media codecs of downloaded traffic flows and assigns the air interface channel rate and power to each user, subject to different constraints. To show the performance of the algorithm, W-CDMA systems with and without filtering capabilities are compared.

关键词： Adaptive filters Multiaccess communication Land mobile radio cellular systems Genetic algorithms Quality of service filtering algorithms Wideband Bandwidth Communication system traffic control Bit rate

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Low-power digital filtering using approximate processing

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 1996年第3期31卷 395-400页

作者： Ludwig, JT Nawab, SH Chandrakasan, AP BOSTON UNIV KNOWLEDGE BASED SIGNAL PROC GRPBOSTONMA 02215

We present an algorithmic approach to the design of low-power frequency-selective digital filters based on the concepts of adaptive filtering and approximate processing. The proposed approach uses a feedback mechanism in conjunction with well-known implementation structures for finite impulse response (FIR) and infinite impulse response (IIR) digital filters;Our algorithm is designed to reduce the total switched capacitance by dynamically varying the filter order based on signal statistics. A factor of 10 reduction in power consumption over fixed-order filters is demonstrated for the filtering of speech signals.

关键词： Digital filters Finite impulse response filter IIR filters Algorithm design and analysis filtering algorithms Frequency Adaptive filters Feedback Signal design Capacitance

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Matching Vector filtering Methods For Sea Ice Motion Detection Using SAR Imagery Feature Tracking

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IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 2022年 15卷 6197-6202页

作者： Li, Chaoyue Li, Gang Chen, Zhuoqi Wang, Xue Cheng, Xiao Sun Yat Sen Univ Sch Geospatial Engn & Sci Guangzhou 510275 Peoples R China Southern Marine Sci & Engn Lab Zhuhai 519082 Peoples R China

Applying feature tracking techniques to synthetic aperture radar (SAR) imagery generates high-resolution sea ice motion fields. However, the bad matching vectors still exist after the Nearest Neighbor Distance Ratio test and contaminate the derived motion fields, which need to be identified and filtered out. In this article, we propose two algorithms to eliminate such wrong matching vectors. The first employs the matching results derived by the maximum cross-correlation (MCC) method as the reference motion fields to evaluate such wrong matches. The second method employs the local spatial consistency presumption of sea ice motion fields. A Voronoi diagram is applied to slice the overlapping area of two SAR images into many fractions, and each fraction extends its size 50% outward to calculate the regional mean sea ice flow vector and standard deviation. Any vector within the fraction that exceeds 3 times the regional standard deviation will be recognized as an outlier and filtered out. Two methods are tested to two cases with strong rotation or irregular sea ice motion fields derived from Sentinel-1 imagery. The overall accuracy of our two methods is 93.9% and 98.7%, and they sacrifice 6.12% /1.22% of the correct vectors to filter out 100.0% / 94.12% of the wrong vectors for the MCC referenced filter and Voronoi fragmented filter, respectively.

关键词： Matched filters Sea ice filtering algorithms Tracking Information filters Radar polarimetry Feature extraction Feature tracking image matching sea ice motion synthetic aperture radar (SAR)

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Overlapped block digital filtering

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING 1996年第8期43卷 586-596页

作者： Lin, IS Mitra, SK UNIV CALIF SANTA BARBARA DEPT ELECT & COMP ENGNCTR INFORMAT PROC RESSANTA BARBARACA 93106

Block digital filtering has been suggested to increase the parallelism of computation and to reduce the computational complexity of digital filtering systems, In this paper the block processing concept is generalized by considering overlapped input and/or output blocks, As an overlapped block digital filter is, in general, a shift-varying system, the conditions for its shift-invariant operation have been developed, These conditions have been exploited to derive computationally efficient shift-invariant block structures, Two types of fast FIR filtering algorithms using the overlapped block fitter structures are derived, One is based on the adaptation of fast short-length linear convolution algorithms and the other is based on DFT algorithms, These algorithms not only reduce the computational complexity of filtering operations but also offer modular and parallel structures, Finite wordlength effects of FIR filters implemented using the overlapped block filter structure are also investigated.

关键词： Digital filters Finite impulse response filter Parallel processing Concurrent computing Computational complexity filtering algorithms Information processing Sampling methods Convolution Finite wordlength effects

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Recursive total least squares algorithms for adaptive filtering

Recursive total least squares algorithms for adaptive filter...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： C.E. Davila Electrical Engineering Department Southern Methodist University Dallas TX USA

An algorithm for efficiently computing the eigenvector associated with the minimum eigenvalue of a correlation matrix is designed. This algorithm can be used to compute the total least squares (TLS) solution to the linear regression problem which yields unbiased equation-error infinite impulse response (IIR) adaptive filters. The algorithm utilizes a two-channel fast Kalman filter and requires only inner products involving L*1 vectors where L is one greater than the total number of filter coefficients. The TLS solution also results in unbiased finite impulse response (FIR) adaptive filters when the filter input is distributed by additive noise, a condition which is usually ignored but may often occur in practice.< >

关键词： Least squares methods filtering algorithms Adaptive filters Finite impulse response filter IIR filters Eigenvalues and eigenfunctions Algorithm design and analysis Linear regression Equations Vectors

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Parallel algorithms for median filtering on arrays with reconfigurable optical buses

Parallel algorithms for median filtering on arrays with reco...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Chin-Hsiung Wu Shi-Jinn Horng Yi Pan Department of Information Management Chinese Naval Academy Kaohsiung Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Science Georgia State University USA

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Deterministic stabilty analyses of unit-norm constrained algorithms for unbiased adaptive IIR filtering

Deterministic stabilty analyses of unit-norm constrained alg...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M. Rupp S.C. Douglas Wireless Research Laboratory Lucent Technologies Inc. Holmdel NJ USA Department of Electrical Engineering University of Utah Salt Lake UT USA

Recently, two simple gradient-based algorithms for unbiased IIR system identification in the presence of zero-mean correlated output noise were derived and shown to perform well in simulation. In this paper, we study the stability and robustness of these two adaptive filters, deriving strictly positive real (SPR) conditions on the overall unknown-plus-adaptive systems to guarantee convergence of the coefficients to their optimum values. Unlike other algorithms for unbiased IIR adaptive filtering, the stability of each of these algorithms depends on the initial values of the filter coefficients. However, near the optimum coefficient solutions, both algorithms are locally-stable, irrespective of the unknown system. Simulations verify the results of our analyses.

关键词： Algorithm design and analysis IIR filters Adaptive filters Stability analysis filtering algorithms Robust stability Equations Noise robustness Analytical models Statistical analysis

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Synthesis & analysis of the quasioptimal algorithms nonlinear filtering in conditions of aposteriori uncertainty

Synthesis & analysis of the quasioptimal algorithms nonlinea...

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International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： V.V. Panteleev TELNET Limited Odessa Ukraine

On the basis of the Markovian theory of an optimal nonlinear filtering in modified polygauss approximation the task of synthesis of quasioptimal algorithms of complex signal processing, characteristic for highly effective systems of transmission of the digital messages on band-limited data links is described. The features of allowing of aposteriori uncertainty in estimation are considered as informational of useful discrete-continuous parameters defined by the apriori items of information on a transmitted ensemble of signal constellation.

关键词： Algorithm design and analysis filtering algorithms Uncertainty Signal processing algorithms Signal synthesis Digital filters filtering theory Approximation algorithms Digital signal processing Constellation diagram

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A Robust Adaptive Estimator for filtering Noise in Images

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IEEE TRANSACTIONS ON IMAGE PROCESSING 1995年第5期4卷 693-699页

作者： You, Xu Crebbin, G. Univ Western Australia Ctr Intelligent Informat Proc Syst Dept Elect & Elect Engn Perth WA 6009 Australia

In this correspondence, we provide three new methods for restoring images corrupted by additive noise. One is the adaptive mean p-median filter for preserving the details of images when restored from additive Gaussian noise. Another is the minimum-maximum method for removing outlier noise. The third method, the robust adaptive mean p-median filter, is based on a combination of the previous two methods. In the past, proposed restoration methods have generally proven to be inadequate for both detail preservation and noise suppression, but the new adaptive mean p-median filter is shown to be good at both of these tasks, while the robust adaptive mean p-median filter can give good performance even in the presence of outliers. Degraded images are processed by the proposed algorithms, with the results compared with a selection of other median-based algorithms that have been proposed in the recent literature.

关键词： Image restoration filtering algorithms Image edge detection Signal to noise ratio Noise reduction Gaussian noise Noise measurement

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Research on QAR Outliers Processing Based on Kalman filtering and Newton Interpolation algorithms

Research on QAR Outliers Processing Based on Kalman Filterin...

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IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Lixin Wang Yu Qian Xiguang Chen Flight Technology College Civil Aviation Flight University of China Guanghan China Civil Aviation Administration of China Research Institute of Aero-Engine Beihang University Beijing China

ISBN: (数字)9781728199481

ISBN: (纸本)9781728199498

In order to solve the problem of outliers in QAR data recording, an outliers processing method based on Kalman filtering and Newton interpolation is proposed. Firstly, Kalman filtering is used to reduce the noise of the data, then the outliers are detected by the improved Pauta criterion, and finally the outliers are corrected by Newton interpolation algorithm. Based on the QAR data of Boeing B777-300 aircraft, the effectiveness of the algorithm is verified by simulation. The results show that the method can detect and correct the outliers more effectively than the traditional algorithm, and the reliability of the data is improved.

关键词： Interpolation Data analysis Sensitivity filtering algorithms Safety Kalman filters Reliability

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