Results 221 to 230 of about 109,797 (269)
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GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270), 2002
Adaptive packet filters (APFs) are motivated by the proliferation of distributed servers and the lack of quality-of-service (QoS) management solutions for them. APFs merge packet-filtering and server load monitoring into a novel load-sensitive packet-filtering abstraction for overload protection and QoS differentiation. They integrate well into network
John Reumann, Hani Jamjoom, Kang G. Shin
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Adaptive packet filters (APFs) are motivated by the proliferation of distributed servers and the lack of quality-of-service (QoS) management solutions for them. APFs merge packet-filtering and server load monitoring into a novel load-sensitive packet-filtering abstraction for overload protection and QoS differentiation. They integrate well into network
John Reumann, Hani Jamjoom, Kang G. Shin
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Automatica, 1969
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiplierless Adaptive Filtering
Digital Signal Processing, 2002Abstract Bose, T., Venkatachalam, A., and Thamvichai, R., Multiplierless Adaptive Filtering, Digital Signal Processing12 (2002) 107–118 When digital filters are designed with power-of-2 coefficients, the multiplications can be implemented by simple shifting operations. For VLSI implementations, multiplierless filters are faster and more compact than
Tamal Bose +2 more
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An adaptive transversal filter
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005A real time electronically programmable transversal filter with parallel architecture is described. The device is capable of operating at sampling rates in excess of 500KHz while maintaining high dynamic range. The device is built around an analog delay line designed using operational amplifiers and switching circuitry.
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2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015
Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
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Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
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On Regularization in Adaptive Filtering
IEEE Transactions on Audio, Speech, and Language Processing, 2011Regularization plays a fundamental role in adaptive filtering. An adaptive filter that is not properly regularized will perform very poorly. In spite of this, regularization in our opinion is underestimated and rarely discussed in the literature of adaptive filtering. There are, very likely, many different ways to regularize an adaptive filter. In this
Jacob Benesty +2 more
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Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004., 2004
We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
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We present a new spam filter which acts as an additional layer in the spam filtering process. This filter is based on what we call a representative vocabulary. Spam e-mails are divided into categories in which each category is represented by a set of tokens which form a representative text (RT).
L. Pelletier +2 more
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Digital Signal Processing, 2005
This paper derives an adaptive coherence filter for canceling interference from a signal of interest whose power spectral density is symmetric. A basic property of the Fourier transform of real signals is that their spectra are Hermitian symmetric. This property is exploited to determine which part of a spectrum is interference and which part is the ...
Jeremy R. Waller, Gary D. Brushe
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This paper derives an adaptive coherence filter for canceling interference from a signal of interest whose power spectral density is symmetric. A basic property of the Fourier transform of real signals is that their spectra are Hermitian symmetric. This property is exploited to determine which part of a spectrum is interference and which part is the ...
Jeremy R. Waller, Gary D. Brushe
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Adaptive collaborative filtering
Proceedings of the 2008 ACM conference on Recommender systems, 2008We present a flexible approach to collaborative filtering which stems from basic research results. The approach is flexible in several dimensions: We introduce an algorithm where the loss can be tailored to a particular recommender problem. This allows us to optimize the prediction quality in a way that matters for the specific recommender system.
Markus Weimer +2 more
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Evolutionary Adaptive Filtering
1995Evolutionary algorithms have seen an ever increasing use in a variety of applications owing to their robustness and ease of implementation. This paper considers the performance of these algorithms when applied to adaptive filtering, with particular emphasis on the direct system modelling problem.
Djamel Ait-Boudaoud +2 more
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