Results 251 to 260 of about 147,753 (299)

Decomposition in noise and periodic signal waveforms in waveform interpolation

The Journal of the Acoustical Society of America, 1997
A method of coding a speech signal is described. In accordance with the method, a plurality of sets of indexed parameters are generated based on samples of the speech signal. Each set of indexed parameters corresponds to a waveform characterizing the speech signal at a discrete point in time.
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Design of spectrally adaptive noise radar waveforms

Radar Sensor Technology XXIII, 2019
The emergence of cognitive radar has led to a considerable amount of research into optimizing a radar's waveform to achieve better performance for a desired task. Specifically, optimizing a waveform's energy spectrum to take advantage of interference, noise, and a target's scattering characteristics has led to a number of approaches for design.
Caden J. Pici, Ram M. Narayanan
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Ka-Band Ground-Based Noise Waveform SAR

2007 International Kharkiv Symposium Physics and Engrg. of Millimeter and Sub-Millimeter Waves (MSMW), 2007
We present main results of design and investigations of Ka-band ground based interferometric SAR which uses continuous noise waveform as a probe signal and may operate in both monostatic and bistatic regimes. Synthetic aperture antennas enable to design a portable, light weight, easy to mount device with high speed of operation suitable for SAR imaging
Konstantin A. Lukin, Anatoly A. Mogyla, Pavlo L. Vyplavin, Vladimir P. Palamarchuk, Oleg V. Zemlyaniy, Yuliya Shiyan, Nikolay K. Zaets, Valeriy N. Skresanov, Alexandr I. Shubniy, Vladimir Glamazdin, Mikhail P. Natarov, Oleg G. Nechayev   +11 more
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Radar waveform optimization for colored noise mitigation

IEEE International Radar Conference, 2005., 2005
Waveform optimization is a technique that can be used to adjust any or all of the radar transmitter degrees of freedom (DoFs) based on observations of a dynamic environment caused by intentional and/or unintentional interference sources. These DoFs include but are not limited to pulse shape, pulse repetition frequency (PRF), bandwidth, and operating ...
J.S. Bergin, P.M. Techau, J.E.D. Carlos, J.R. Guerci   +3 more
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Radar Design Using Noise/Random Waveforms

2006 International Radar Symposium, 2006
Theoretical and experimental evaluations of potential capabilities of Noise Radar Technology (NRT) in design and development of radar sensors are presented. Derivation of Ambiguity Function for Pulsed Noise Waveform is given. Theoretical basis for Noise Radar design and three different methods for coherent processing of Noise Radar returns are briefly ...
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Seismic noise attenuation based on waveform classification

Journal of Applied Geophysics, 2019
Abstract Traditionally, a denoising algorithm is usually applied to enhance useful reflection seismic signals, or to increase the quality of the waveforms recorded in the seismic data. The strong noise left in the filtered data after denoising is a long standing drawback of many state-of-the-art denoising algorithms. In addition to removing noise, we
Wei Chen, Min Bai, Hui Song
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Continuous coded waveforms for noise radar

2007 International Waveform Diversity and Design Conference, 2007
This paper describes a new class of continuous waveforms for noise radar that can be processed using earlier developed methods for reducing pulse compression sidelobes and equalizing compressed pulses before Doppler filtering. The proposed waveforms are based on codes that modulate sub-pulses which define the bandwidth of the waveform.
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Noise analysis of digitised FMCW radar waveforms

IEE Proceedings - Radar, Sonar and Navigation, 1998
A staircase phase approximation for generating a linear frequency-modulated continuous wave radar signal is considered and the use of filtering on the samples of the signal has been assumed in both transmission and reception. It is shown that an excellent spectrum of the radar signal can be obtained, provided that the appropriate value of the sample ...
M.M. Abousetta, D.C. Cooper
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Wavelets, adapted waveforms and de-noising.

Electroencephalography and clinical neurophysiology. Supplement, 1997
This is a short summary of a talk given at the Frontier Science in EEG Symposium, Continuous Waveform Analysis, held on 9 October 1993 in New Orleans. We describe some new libraries of waveforms well-adapted to various numerical analysis and signal processing tasks.
R R, Coifman, M V, Wickerhauser
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Parameter Estimation for Waveforms in Additive Gaussian Noise

Journal of the Society for Industrial and Applied Mathematics, 1959
A stochastic process \(z(t)\) is observed over a given interval of time, where \(z(t) = x(t) + F(t,\xi)\), \(\xi\) is an unknown parameter, \(F(t,\xi)\) a real-valued function of time \(t\) and \(x(t)\) is a Gaussian process with known covariance function \(\psi_x(s, t)\). Estimates of a parameter \(f(\xi)\) are considered.
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