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Fundamentals of statistical signal processing: estimation theory
, 1993Minimum variance unbiased estimation Cramer-Rao lower bound linear models general minimum variance unbiased estimation best linear unbiased estimators maximum likelihood estimation least squares method of moments the Bayesian philosophy general Bayesian ...
S. Kay
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A Review on Machine Learning for EEG Signal Processing in Bioengineering
IEEE Reviews in Biomedical Engineering, 2020Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to use, the analysis methods are also equally numerous.
M. Hosseini, Amin Hosseini, Kiarash Ahi
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2015
This chapter covers signals and signal processing. It presents a unified treatment of signals and interrupts, which helps put signals into a proper perspective. It treats signals as interrupts to processes, which diverts a process from its normal executions to do signal processing.
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This chapter covers signals and signal processing. It presents a unified treatment of signals and interrupts, which helps put signals into a proper perspective. It treats signals as interrupts to processes, which diverts a process from its normal executions to do signal processing.
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Signal Processing and Signal Processing Models
1993In this chapter we will examine some of the characteristics of the dolphin sonar signal from a signal processing point of view. Several sections will also be devoted to the discussion of signal processing techniques and the construction of mathematical models and electronic analogs to the dolphin sonar signal processing system. These models and analogs
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The Journal of the Acoustical Society of America, 2009
An audio system for processing two channels of audio input to provide more than two output channels. The input may be conventional stereo material or compressed audio signal data. The audio processing includes separating the input signals into frequency bands and processing the frequency bands according to processes which may differ from band to band ...
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An audio system for processing two channels of audio input to provide more than two output channels. The input may be conventional stereo material or compressed audio signal data. The audio processing includes separating the input signals into frequency bands and processing the frequency bands according to processes which may differ from band to band ...
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2013
The objective of this chapter is to introduce signal processing. We apply two methods, of the many available methods, to examine large data sets. They are harmonic analysis and fast-Fourier transform (FFT) analysis.
Daniel T. Valentine, Brian H. Hahn
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The objective of this chapter is to introduce signal processing. We apply two methods, of the many available methods, to examine large data sets. They are harmonic analysis and fast-Fourier transform (FFT) analysis.
Daniel T. Valentine, Brian H. Hahn
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Communications of the ACM, 1985
The Search for Extraterrestrial Intelligence (SETI), now being planned at NASA, will require a prodigious amount of highly concurrent signal processing to be done in real time by special-purpose hardware.
Bernard M. Oliver +2 more
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The Search for Extraterrestrial Intelligence (SETI), now being planned at NASA, will require a prodigious amount of highly concurrent signal processing to be done in real time by special-purpose hardware.
Bernard M. Oliver +2 more
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Proximal Splitting Methods in Signal Processing
Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2009The proximity operator of a convex function is a natural extension of the notion of a projection operator onto a convex set. This tool, which plays a central role in the analysis and the numerical solution of convex optimization problems, has recently ...
P. Combettes, J. Pesquet
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1971
It is very important that methods be developed to extract signals from the noisy backgrounds that usually accompany them. Signal processing has, therefore, become an important field in communications and in acoustics. The human ear processes the information it receives and does a reasonably good job of filtering.
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It is very important that methods be developed to extract signals from the noisy backgrounds that usually accompany them. Signal processing has, therefore, become an important field in communications and in acoustics. The human ear processes the information it receives and does a reasonably good job of filtering.
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Signal Processing in Magnetoencephalography
Methods, 2001The subject of this article is detection of brain magnetic fields, or magnetoencephalography (MEG). The brain fields are many orders of magnitude smaller than the environmental magnetic noise and their measurement represent a significant metrological challenge.
Jiri Vrba, Stephen E. Robinson
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