Adiabatic frequency shifting of a surface wave guided by a time-varying plasma structure

M. I. Bakunov; V. B. Gildenburg; S. N. Zhukov; N. A. Zharova

doi:10.1063/1.873904

Adiabatic frequency shifting of a surface wave guided by a time-varying plasma structure

Physics of Plasmas ◽

10.1063/1.873904 ◽

2000 ◽

Vol 7 (3) ◽

pp. 1035-1043 ◽

Cited By ~ 12

Author(s):

M. I. Bakunov ◽

V. B. Gildenburg ◽

S. N. Zhukov ◽

N. A. Zharova

Keyword(s):

Surface Wave ◽

Time Varying ◽

Plasma Structure ◽

Frequency Shifting

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Space-Time-Varying Surface-Wave Antenna

2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM) ◽

10.1109/antem.2018.8573041 ◽

2018 ◽

Author(s):

Sajjad Taravati ◽

Ahmed A. Kishk

Keyword(s):

Surface Wave ◽

Space Time ◽

Time Varying ◽

Wave Antenna

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Time-varying frequency-shifting signal-assisted empirical mode decomposition method for AM–FM signals

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2009.06.006 ◽

2009 ◽

Vol 23 (8) ◽

pp. 2458-2469 ◽

Cited By ~ 19

Author(s):

Xu Guanlei ◽

Wang Xiaotong ◽

Xu Xiaogang

Keyword(s):

Empirical Mode Decomposition ◽

Decomposition Method ◽

Time Varying ◽

Mode Decomposition ◽

Fm Signals ◽

Time Varying Frequency ◽

Empirical Mode Decomposition Method ◽

Frequency Shifting

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On the periodically time-varying bias in adaptive feedback cancellation systems with frequency shifting

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2016.7471733 ◽

2016 ◽

Cited By ~ 1

Author(s):

Meng Guo ◽

Bernhard Kuenzle

Keyword(s):

Time Varying ◽

Feedback Cancellation ◽

Adaptive Feedback ◽

Adaptive Feedback Cancellation ◽

Frequency Shifting

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A Combined Approach for Channel Decorrelation in Stereo Acoustic Echo Cancellation Exploiting Time-Varying Frequency Shifting

IEEE Signal Processing Letters ◽

10.1109/lsp.2013.2264936 ◽

2013 ◽

Vol 20 (7) ◽

pp. 717-720 ◽

Cited By ~ 8

Author(s):

L. Romoli ◽

S. Cecchi ◽

F. Piazza

Keyword(s):

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Time Varying ◽

Combined Approach ◽

Acoustic Echo ◽

Time Varying Frequency ◽

Frequency Shifting

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Exit-surface wave reconstruction using a focal series

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100129577 ◽

1992 ◽

Vol 50 (2) ◽

pp. 988-989

Author(s):

W.J. de Ruijter ◽

M.R. McCartney ◽

David J. Smith ◽

J.K. Weiss

Keyword(s):

Surface Wave ◽

Spherical Aberration ◽

Data Extraction ◽

High Sensitivity ◽

Geometric Distortion ◽

Variation Method ◽

Objective Lens ◽

Immediate Reconstruction ◽

Exit Surface ◽

Electron Microscopes

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.

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