Zobrazeno 1 - 10
of 74
pro vyhledávání: '"S.L. Marple"'
Autor:
K. Abed-Meraim, J. Ahmad, A. Aïssa-El-Bey, A. Akan, O. Akay, S. Ali, T. Alieva, M.G. Amin, S. Assous, F. Auger, S. Aviyente, M.A. Awal, G. Azemi, M.J. Bastiaans, R.G. Baraniuk, S. Barbarossa, B. Barkat, V. Barroso, A. Beghdadi, A. Belouchrani, B. Boashash, J.F. Böhme, A.-O. Boudraa, G.F. Boudreaux-Bartels, S. Carstens-Behrens, V. Chandran, E. Chassande -Mottin, P. Colditz, A. Djebbari, S. Djukanović, I. Djurović, S. Dong, A. El-Jaroudi, M.K. Emresoy, B.G. Ferguson, P. Flandrin, G.J. Frazer, D. Frunzaverde, L. Galleani, A. Gholami, H. Hassanpour, F. Hlawatsch, Z.M. Hussain, B.-G. Iem, R. Iordache, B.K. Jawad, G. Jones, D.L. Jones, V. Katkovnik, N.A. Khan, J. Lerga, A.R. Leyman, N. Linh-Trung, A.R. Lindsey, K.W. Lo, W. Mack Grady, S.L. Marple, G. Matz, A. Mert, A. Napolitano, P.M. Oliveira, A. Omidvarnia, D.M. Onchis, P.J. O’Shea, S. Ouelha, J.M. O’Toole, A. Papandreou-Suppappola, E.J. Powers, G.R. Putland, L.J. Rankine, B. Ristic, F. Salzenstein, N. Saulig, A.M. Sayeed, E. Sejdić, A.Z. Sha’ameri, I. Shafi, S.I. Shah, Y.-J. Shin, M. Simeunović, S. Stanković, L.J. Stanković, N.J. Stevenson, V. Sucic, S.B. Suppappola, G. Tauböck, S. Touati, M. Tsitsvero, A.J. van Leest, S. Ventosa, W.J. Williams, X.-G. Xia, P. Zarjam, Y.D. Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c33c480bd6d53bde13c9b7e0d7d38f6
https://doi.org/10.1016/b978-0-12-398499-9.09982-9
https://doi.org/10.1016/b978-0-12-398499-9.09982-9
Autor:
Jr. S.L. Marple
Publikováno v:
IEEE Signal Processing Letters. 7:164-168
This paper presents an extension of the one-dimensional (1-D) lattice (reflection coefficient) technique of linear prediction parameter estimation, first popularized by Burg, to the two-dimensional (2-D) case. The resulting fast recursive 2-D algorit
Publikováno v:
IEEE Transactions on Signal Processing. 48:2651-2661
We present a computationally efficient algorithm for computing the 2-D Capon (1969) spectral estimator. The implementation is based on the fact that the 2-D data covariance matrix will have a Toeplitz-block-Toeplitz structure, with the result that th
Autor:
Jr. S.L. Marple
Publikováno v:
IEEE Transactions on Signal Processing. 47:2600-2603
Starting with a real-valued N-point discrete-time signal, frequency-domain algorithms are provided for computing (1) the complex-valued standard N-point discrete-time "analytic" signal of the same sample rate; (2) the complex-valued decimated N/2-poi
Publikováno v:
2008 International Conference on Radar.
Airborne radar systems employing radar sensor arrays utilize multi-channel (MC) signal processing techniques for optimal detection and localization of targets. The detection and localization statistics have mathematical structures that typically requ
Publikováno v:
ICASSP (2)
The optimal (adaptive) linear combiner (beamformer) weights for a sensor array are expressed in terms of the inverse of the multi-channel (MC) covariance matrix. Also, minimum variance (Capon) spectral estimators of the sensor array also depend on th
Autor:
S.L. Marple, J. Liew
Publikováno v:
ICASSP (2)
The paper presents an extension of the solution for two-dimensional (2D) Yule-Walker equations, useful for linear prediction (LP) parameter estimation, to the three-dimensional (3D) case. The resulting fast recursive 3D algorithm has a significant co
Autor:
Lin Wei, S.L. Marple
Publikováno v:
ICASSP (4)
The traditional formulation of the minimum variance spectral estimator (MVSE) depends on the inverse of the autocorrelation matrix, which has a Toeplitz structure in the 1D case. A fast computational algorithm exists that exploits this structure. Thi
Autor:
S.L. Marple, D.R. Ohm
Publikováno v:
Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005..
The ability to extract weak signal components, or micro-signatures, from acoustic array data can be used to help classify targets with greater detail. In order to discover and evaluate micro-signatures in actual circular acoustic array data, a signal
Autor:
S.L. Marple, C. Marino
Publikováno v:
Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
The term "coherence" in the signal processing community has been defined for nearly 50 years in terms of a narrowband statistical power spectral density ratio. This definition is very limiting with modern digital electronics and sensor array technolo