Results 301 to 310 of about 530,731 (343)

Speech enhancement using a minimum mean-square error log-spectral amplitude estimator

IEEE Transactions on Acoustics Speech and Signal Processing, 1984
Y. Ephraim, D. Malah
semanticscholar   +1 more source

Strong Universal Consistent Estimate of the Minimum Mean Squared Error

2013
Consider the regression problem with a response variable Y and a feature vector X. For the regression function m(x) = E{Y ∣X = x}, we introduce new and simple estimators of the minimum mean squared error Mean squared error—( Minimum mean squared error—( \({L}^{{\ast}} = \mathbf{E}\{{(Y - m(\mathbf{X}))}^{2}\}\), and prove their strong ...
Luc Devroye, Paola G. Ferrario, László Györfi, Harro Walk   +3 more
openaire   +1 more source

Speech enhancement by combining spectral subtraction and minimum mean square error-spectrum power estimator based on zero crossing

International Journal of Speech Technology, 2018
G. ThimmarajaYadava, H. S. Jayanna
semanticscholar   +1 more source

Minimum mean square error estimation for a class of chaotic systems

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
We develop the Bayesian maximum a posteriori (MAP) and minimum mean square error (MMSE) estimators for sequences generated by a class of discrete-time chaotic systems. This class (of which the sawtooth map, an archetype of chaotic behavior, is a member) consists of maps of the unit interval whose dynamics are precisely equivalent to the output of a ...
openaire   +1 more source

Minimum mean squared error impulse noise estimation and cancellation

IEEE Transactions on Signal Processing, 1995
Impulses are infrequent bursts of high amplitude noise. A wide-band communications or data acquisition receiver has a fast sampling rate, so it can capture many samples of each impulse waveform. The arrival of an impulse can be identified by its distinct waveform and amplitude.
openaire   +1 more source

Channel estimation for sparse channel OFDM systems using least square and minimum mean square error techniques

International Conference on Emerging Technologies, 2017
A. Farzamnia, Ngu War Hlaing, M. K. Haldar, Javad Rahebi   +3 more
semanticscholar   +1 more source

MIMO radar waveform design based on mutual information and minimum mean-square error estimation

IEEE Transactions on Aerospace and Electronic Systems, 2007
Yang Yang, Rick S. Blum
semanticscholar   +1 more source

Sparse-Aware Minimum Mean Square Error Detector for MIMO Systems

IEEE Communications Letters, 2017
Rong Ran, Jiaheng Wang, S. Oh, Songnam Hong   +3 more
semanticscholar   +1 more source

Convex relaxation for illumination control of multi-color multiple-input-multiple-output visible light communications with linear minimum mean square error detection.

Applied Optics, 2017
Jun-Ming Dong, Yanyu Zhang, Yijun Zhu
semanticscholar   +1 more source

Speech Enhancement Using a-Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator

Y. Ephraim, D. Malah
semanticscholar   +1 more source