Results 261 to 270 of about 584,670 (289)
Some of the next articles are maybe not open access.
Censoring Outliers in Radar Data: An Approximate ML Approach and its Analysis
IEEE Transactions on Aerospace and Electronic Systems, 2019This paper deals with the problem of censoring outliers in a class of complex multivariate elliptically contoured distributed radar data, which is a vital issue in radar signal processing applications, such as adaptive radar detection and space-time adaptive processing.
Sudan Han +4 more
openaire +4 more sources
Local integral equations implemented by MLS-approximation and analytical integrations
Engineering Analysis with Boundary Elements, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sladek, V., Sladek, J.
openaire +1 more source
Approximate ML Doppler Spread Estimation Over Flat Rayleigh Fading Channels
IEEE Signal Processing Letters, 2009The maximum likelihood (ML) Doppler spread estimator provides an accurate estimation performance; however, it results in a much higher computation cost. In this work, we propose a time-domain approximate-ML estimator that significantly reduces the computational complexity of the ML estimator over a flat Rayleigh fading channel.
Yuh-Ren Tsai, Kai-Jie Yang
openaire +2 more sources
Fluconazole-Induced Convulsions at Serum Trough Concentrations of Approximately 80 ??g/mL
Therapeutic Drug Monitoring, 2000On the basis of two case reports it is suggested that serious convulsions may occur in patients treated with flucoazole when serum trough concentrations exceed 80 microg/mL. The authors recommend monitoring fluconazole concentrations during high-dose therapy in patients with poor kidney function.
K, Matsumoto +7 more
openaire +2 more sources
Approximate ML direction finding in spatially correlated noise using oblique projections
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004We consider the problem of maximum likelihood estimation of directions of arrival of multiple source signals in the presence of unknown spatially correlated Gaussian noise. Oblique projections are used to separate the structured noise from the signal and an approximate maximum likelihood solution is derived. The estimates are obtained by maximizing the
Mustapha Djeddou +2 more
openaire +2 more sources
Approximate ber expression of ML equalizer for OFDM over doubly selective channels
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008Maximum Likelihood (ML) equalization for Orthogonal Frequency Division Multiplexing (OFDM) over time- and frequency- selective channels is analyzed in this paper. An approximate expression for bit error rate (BER) performance of the ML equalizer with a limited number of taps is developed, which subsumes the matched filter bound (MFB) equalization ...
Shuichi Ohno, Kok Ann Donny Teo
openaire +2 more sources
Efficient construction of approximate ad-hoc ML models through materialization and reuse
Proceedings of the VLDB Endowment, 2018Machine learning has become an essential toolkit for complex analytic processing. Data is typically stored in large data warehouses with multiple dimension hierarchies. Often, data used for building an ML model are aligned on OLAP hierarchies such as location or time.
Sona Hasani +4 more
openaire +1 more source
Applications of the Approximate Computing on ML Architecture
2021Kattekola Naresh, Shubhankar Majumdar
openaire +1 more source
ML-PLAC: Multiplierless Piecewise Linear Approximation for Nonlinear Function Evaluation
IEEE Transactions on Circuits and Systems I: Regular Papers, 2022Fei Lyu 0002 +5 more
openaire +1 more source