A low-complexity implementation of adaptive Wiener filters

Goldstein, J.S.; Reed, I. S.; Scharf, Louis L.; Tague, J.A.

doi:10.1109/acssc.1997.680548

Cited by 5 publications

(3 citation statements)

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“…The basic idea was to start from the analysis of the entire AV1 codec and then focus on a particular part based on the "profiling" results of the AV1 Software model [5] to understand the usage percentage of each one and evaluate which one needed more attention. From this analysis, the attention turned on Wiener filter [6]. The importance of the Wiener filter in image processing is highlighted by the authors in [7,8].…”

Section: Introductionmentioning

confidence: 99%

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VLSI Architectures of a Wiener Filter for Video Coding

et al. 2021

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In the modern age, the use of video has become fundamental in communication and this has led to its use through an increasing number of devices. The higher resolution required for images and videos leads to more memory space and more efficient data compression, obtained by improving video coding techniques. For this reason, the Alliance for Open Media (AOMedia) developed a new open-source and royalty-free codec, named AOMedia Video 1 (AV1). This work focuses on the Wiener filter, a specific loop restoration tool of the AV1 video coding format, which features a significant amount of computational complexity. A new hardware architecture implementing the separable symmetric normalized Wiener filter is presented. Furthermore, the paper details possible optimizations starting from the basic architecture. These optimizations allow the Wiener filter to achieve a 100× reduction in processing time, compared to existing works, and 5× improvement in megasamples per second.

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Section: Introductionmentioning

confidence: 99%

“…It optimizes one of them (a in this case) while the other is kept fixed (b in ). Once the first the r-taps version of the filter is obtained, it is reconstructed using Equations (3)- (6). Then this is used as input for the other filter processing.…”

Section: Introductionmentioning

confidence: 99%

VLSI Architectures of a Wiener Filter for Video Coding

et al. 2021

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“…Since its introduction in [1], [2], [3], the multistage Wiener filter (MWF) has gained popularity and recognition due to its excellent performance in several applications, e.g., beamforming [3] and DS-CDMA interference suppression [4], [5], [6]. The MWF decomposition has the form of an analysis filter bank whose output signals have tri-diagonal correlation matrix.…”

Section: Introductionmentioning

confidence: 99%

On an efficient implementation of the multistage Wiener filter through Householder reflections for DS-CDMA interference suppression

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GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)

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This paper describes the implementation of the multistage Wiener filter (MWF) through a series of nested Householder transformations applied to the input signal as a mean to form the analysis filter-bank part of the structure. The input signal is successively projected onto an appropriate subspace whereby the mutual information is maximized at each step, as required by the MWF structure. The method presented herein is described as a constrained optimization problem, where the constraints are imposed to the input signal, and not to the coefficients of the filter. The method is applicable to reducedrank as well as to full-rank implementations of the MWF. The Householder transformation assures that the equivalent blocking matrices for all the stages are efficiently implemented via single reflections and that only unitary reflections are employed; robustness against deleterious finite-precision effects is, therefore, improved. Simulations of a DS-CDMA interference suppression receiver illustrates the robust behavior of the proposed scheme when implemented in finite precision as compared to the conventional MWF using non-orthogonal blocking matrices.

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