Results 251 to 260 of about 1,259,367 (291)
Some of the next articles are maybe not open access.
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
openaire +1 more source
Image Change Detection Based on the Minimum Mean Square Error
2012 Fifth International Joint Conference on Computational Sciences and Optimization, 2012The detection of change is one of the most important tasks in remote sensing analysis. In this paper, a novel unsupervised change detection approach by minimizing the mean square error (MSE) is proposed. The difference image computed by the absolute-valued log ratio of the intensity values of two input images is partitioned into two distinct regions ...
Yunchen Pu, Wei Wang 0192, Qiongcheng Xu
openaire +1 more source
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.
openaire +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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.
openaire +1 more source
A Minimum Mean-Square Error Equalizer for Nonlinear Satellite Channels
IEEE Transactions on Communications, 1987The problem of designing and evaluating the performance of a minimum mean-square error equalizer (MMSEE) for binary PSK transmission over band-limited nonlinear satellite channels is considered in this correspondence. The effect of intersymbol interference followed by AM/AM and AM/PM conversions are taken into account while optimizing the performance ...
Aly F. Elrefaie, Ludwick Kurz
openaire +1 more source
Hardware accelerator for minimum mean square error interference alignment
2015 IEEE International Conference on Digital Signal Processing (DSP), 2015A dedicated hardware architecture for the digital baseband processing of minimum mean square error interference alignment is presented. The computationally intensive task of calculating the precoding and decoding matrices has been implemented and the underlying algorithm has been optimized for real-time capability, efficiency and flexibility.
Markus Kock, Steffen Busch, Holger Blume
openaire +1 more source
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.
openaire +1 more source
Optimization of the Training Symbols for Minimum Mean Square Error Equalizer
2017The theory of Minimum Mean Square Error (MMSE) and Symbol Error Rate (SER) will be introduced and used as a parameter of analysis, we will find the optimized number of training symbols for different amounts of data. The training symbols are used in adaptive channel equalization where the communication channel is totally unknown, the training symbols ...
Radek Martinek +3 more
openaire +1 more source