Results 211 to 220 of about 1,467 (253)
Some of the next articles are maybe not open access.

Bilateral collicular interaction: Modulation of auditory signal processing in frequency domain

Neuroscience, 2013
In the ascending auditory pathway, the inferior colliculus (IC) receives and integrates excitatory and inhibitory inputs from a variety of lower auditory nuclei, intrinsic projections within the IC, contralateral IC through the commissure of the IC and the auditory cortex.
L, Cheng   +5 more
openaire   +2 more sources

Cardinal MK-spline signal processing: Spatial interpolation and frequency domain filtering

Information Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Juanjuan Chen, Zhanchuan Cai
openaire   +1 more source

A frequency-time domain signal processing system.

Medical instrumentation, 1980
A digital signal processing system for time series analysis with two modes of usage--the first a rapid, hands-on exploratory method, and the second an automatic, printed, labeled graphic output method--is described. The system utilizes a Time Data 1923C system with integral PDP-11 minicomputer, and a console.
P V, Moulder, W, Rank, G R, Daicoff
openaire   +1 more source

The frequency domain versus time domain methods for processing of intracranial pressure (ICP) signals

Medical Engineering & Physics, 2008
Two methods for analyzing intracranial pressure (ICP) waveforms were compared. The frequency domain (FD) method converts the signal from the time domain to the frequency domain by a fast Fourier transform (FFT), while the time domain (TD) method calculates peak-to-peak value of the pulse waveform directly from the time samples.
Sverre, Holm, Per Kristian, Eide
openaire   +2 more sources

Mobile teletext reception using signal processing in frequency domain

IEEE Transactions on Broadcasting, 1990
An experimental study of mobile teletext reception is described. Teletext in Japan is a broadband signal with 5.73 Mb/s; therefore, multipath interference is a serious problem in mobile reception, and it is impossible to obtain the teletext correctly by conventional methods.
openaire   +1 more source

2D and 3D adaptive signal processing in the frequency domain

Proceedings of 1994 37th Midwest Symposium on Circuits and Systems, 2002
New adaptive two dimensional (2D) spatial and three dimensional (3D) spatiotemporal algorithms are presented and discussed in this paper.
Yu, Haoping, Mikhael, Wasfy B.
openaire   +1 more source

A frequency-domain beamforming algorithm for wideband, coherent signal processing

The Journal of the Acoustical Society of America, 1984
Coherent detection processors for sonar (e.g., matched filters for active systems) require continuous time series as input and have conventionally been coupled to delay-and-sum time-domain beamformers. As an alternative, we have extended the FFT beamforming technique to be functionally equivalent to a time-domain beamformer. The procedure utilizes the ‘
M. E. Weber, R. Heisler
openaire   +1 more source

Processing methods in frequency domain for bubble laser scattering signals

SPIE Proceedings, 2009
For the detection of the bubble-laser-scattering property, it is the key to improve the signal to noise ratio. The various noises in the bubble-laser-scattering signal, the background light, power frequency of 50Hz, radio frequency noise and inherent noise within the electronic system, are analyzed in detailed.
Liping Su   +4 more
openaire   +1 more source

PREDICTION AND SIGNAL EXTRACTION OF STRONGLY DEPENDENT PROCESSES IN THE FREQUENCY DOMAIN [PDF]

open access: possibleEconometric Theory, 2002
We frequently observe that one of the aims of time series analysts is to predict future values of the data. For weakly dependent data, when the model is known up to a finite set of parameters, its statistical properties are well documented and exhaustively examined. However, if the model was misspecified, the predictors would no longer be correct.
Javier Hidalgo, Yoshihiro Yajima
openaire   +3 more sources

Modern Spectral Estimation for Signal Processing in the Frequency Domain

Spectroscopy Letters, 2000
Abstract Modern power spectral estimation technique was applied to the signal analysis of inductively coupled plasma atomic emission spectrometry (ICP-AES) in the present work. Two methods, Levinson-Durbin and Burg methods, were used to calculate auto-regression (AR) model parameters and the comparison was made.
Zhuoyong Zhang   +3 more
openaire   +1 more source

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