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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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On minimum mean square error speech enhancement
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991Motivation for using minimum mean square error (MMSE) estimation in noisy speech enhancement problems is given. An MMSE estimator which is based on hidden Markov modeling of the clean signal as well as the noise process is systematically developed. The MMSE estimator is tested and compared with the spectral subtraction estimator in vector quantization ...
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Minimum mean square error estimation in linear regression
Journal of Statistical Planning and Inference, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liski, Erkki P. +2 more
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Robust estimate with minimum mean squared error
Australian Surveyor, 1991The result of any robust estimate depends on its weight function. But the weight function and its parameters are determined personally.
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Asymptotically minimum bit error rate block precoders for minimum mean square error equalization
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002, 2003We determine linear block precoders which asymptotically minimize the bit error rate (BER) of block-based communication systems employing minimum mean square error (MMSE) equalization and threshold detection. The problem is solved by a two-stage optimization procedure in which a lower bound on the BER over its convex region is first minimized, followed
S.S. Chan, T.N. Davidson, K.M. Wong
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Linear Minimum Mean-Square Error Estimators Applied to Channel Equalization
IEEE Transactions on Communications, 1977This concise paper investigates various aspects of the application of unbiased linear minimum mean-square error (ULMMSE) estimators to the equalization of channels used for digital data transmission. One application is to the equalization of the channel to a response free from intersymbol interference.
Cantoni, A., Butler, P.
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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.
Kazakos, D., Papantoni-Kazakos, P.
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Sensor validation using minimum mean square error estimation
Mechanical Systems and Signal Processing, 2010Sensor fault can be detected and corrected in a multichannel measurement system with enough redundancy using solely the measurement data. A single or multiple sensors can be estimated from the remaining sensors if training data from the functioning sensor network are available.
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MINIMUM MEAN SQUARE ERROR UNBIASED ESTIMATION
Australian Journal of Statistics, 1974openaire +2 more sources