Results 151 to 160 of about 1,530,208 (226)

The relationship between speed and curvature differs in autistic and non-autistic tracing movements. [PDF]

Sci Rep
Cook JL, Fraser DS, Hickman LJ, Brewer R, Huh D.   +4 more
europepmc   +1 more source

A combined model of ultrasound viscoelasticity and inflammatory indices for differentiating benign and malignant breast lesions. [PDF]

BMC Med Imaging
Yang Z, Li X.
europepmc   +1 more source

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Sensor validation using minimum mean square error estimation

Mechanical Systems and Signal Processing, 2010
Sensor 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.
J. Kullaa
semanticscholar   +4 more sources

Color demosaicking via directional linear minimum mean square-error estimation

IEEE Transactions on Image Processing, 2005
Lei Zhang, Xiaolin Wu
semanticscholar   +3 more sources

Linear minimum mean square error estimation for discrete-time Markovian jump linear systems

IEEE Transactions on Automatic Control, 1994
O. Costa
semanticscholar   +3 more sources

Nonlocal linear minimum mean square error methods for denoising MRI

Biomedical Signal Processing and Control, 2015
P. Sudeep, P. Ponnusamy, C. Kesavadas, Jeny Rajan   +3 more
semanticscholar   +3 more sources

Stationary filter for linear minimum mean square error estimator of discrete-time Markovian jump systems

IEEE Transactions on Automatic Control, 2002
O. Costa, Susset Guerra Jiménez
semanticscholar   +3 more sources

Speech enhancement based on minimum mean-square error estimation and supergaussian priors

IEEE Transactions on Speech and Audio Processing, 2005
Rainer Martin
semanticscholar   +3 more sources

LSTM-convolutional-BLSTM encoder-decoder network for minimum mean-square error approach to speech enhancement

, 2021
In recent years, deep learning models have been employed for speech enhancement. Most of the existing methods based on deep learning use fully Convolutional Neural Network (CNN) to capture time–frequency information of input features. Compared with CNNs,
Zeyu Wang, Zhang Tao, Yangyang Shao, Biyun Ding   +3 more
semanticscholar   +1 more source