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Fixed-width CSD multipliers with minimum mean square error
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010Many multimedia and DSP applications require fixed-width multipliers, in which input data and output results have the same bit width. In this paper we investigate fixed-width multipliers where one of the input operand is a constant, encoded using canonic signed digit (CSD) representation.
Nicola Petra +6 more
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Moments and error expressions in polynomial minimum mean square estimatior
Information Sciences, 1976The mathematical complexity of the minimum mean square estimators made inevitable the consideration of suboptimal solutions, such as the linear minimum mean square (m.m.s.) estimators. The compromise between performance and complexity can be, in general, less serious if the estimator that will substitute the optimum one is polynomial.
Demetrios Kazakos, P. Papantoni-Kazakos
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Source imaging with minimum mean-squared error
The Journal of the Acoustical Society of America, 1993Prior knowledge of source size, shape, and radiation process, and of receiver noise correlations are incorporated in a linear minimum mean-squared error (MMSE) imaging estimator. Its resolution operator and expected squared estimation error are derived and are computed for discrete linear source and receive arrays.
Roland Stoughton, Stewart Strait
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The estimation problem of minimum mean squared error
Statistics & Decisions, 2003Summary: Regression analysis of a response variable \(Y\) requires careful selection of explanatory variables. The quality of a set of explanatory features \(X=(X^{(1)}, \dots, X^{(d)})\) can be measured in terms of the minimum mean squared error \[ L^*= \min_f{\mathbf E} \biggl\{\bigl(Y-f(X) \bigr)^2\biggr\}.
Devroye, Luc +3 more
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Realizable minimum mean-squared error channel shorteners
IEEE Transactions on Signal Processing, 2005We present an analysis of realizable (i.e., causal, stable, and of finite degree) minimum mean-squared error (MMSE) channel shorteners for multiple-input multiple-output (MIMO) systems, driven by spatially and temporally white signals, and subject to a constant output power constraint.
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Linear Minimum Mean Square Error Demosaicking
2008International audience ; Today, digital cameras are ubiquitous. One can be purchased for the price equivalent to a night's stay in a hotel in occidental countries, or we receive it for “free” when acquiring a mobile phone or a laptop computer. The existence of such a common and ultimately cheap device is due to the fundamental developments in the way ...
David Alleysson +3 more
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A minimum mean square error approach for speech enhancement
International Conference on Acoustics, Speech, and Signal Processing, 2002A minimum mean square error (MMSE) estimation approach for enhancing speech signals degraded by statistically independent additive noise is developed, based upon Gaussian autoregressive (AR) hidden Markov modeling of the clean signal and Gaussian AR modeling of the noise process.
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Design of fixed-width multipliers with minimum mean square error
2007 18th European Conference on Circuit Theory and Design, 2007The paper introduces a new technique to design signed and unsigned n x n bit fixed-width multipliers with minimum mean square error. In previous papers the error minimization of fixed-width multipliers was achieved through exhaustive searches, and is practically computable only for small n values. This is the first paper in which the error compensation
PETRA, NICOLA +2 more
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Minimum mean square error nonuniform FIR filter banks
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002A theory for jointly optimizing nonuniform analysis and synthesis FIR filter banks with arbitrary filter lengths and an arbitrary delay through the filter bank is developed. The FIR subband coder is optimized with respect to the minimum mean square error between the output and the input signals under a bit constraint. The subband quantizers are modeled
Are Hjørungnes, Tapio Saramäki
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The minimum mean squared error threshold
2001This chapter investigates the mean squared error as a criterion for selecting an optimal soft threshold. In applications like image processing, it is often objected that this expression of the error does not always correspond to a more subjective experience of quality.
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