Feature Matching of Multimodal Images Based on Nonlinear Diffusion and Progressive Filtering
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Traditional image feature matching methods cannot obtain satisfactory results for multimodal images in most cases because different imaging mechanisms bring significant nonlinear radiation distortion differences and geometric distortion.
Qiang Xiong +4 more
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Distortion mechanisms in varactor diode-tuned microwave filters [PDF]
, 2006 This paper examines the broadband distortion behavior in flexible filters employing varactor-diode tuning elements. Series- and parallel-resonant varactor-loaded transmission-lines, both commonly used in bandpass and bandstop microwave filters, are ...
Carey-Smith, BE, Warr, PA
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Nonlinear unbalanced Bessel beams in the collapse of Gaussian beams arrested by nonlinear losses [PDF]
, 2008 Collapse of a Gaussian beam in self-focusing Kerr media arrested by nonlinear losses may lead to the spontaneous formation of a quasi-stationary nonlinear unbalanced Bessel beam with finite energy, which can propagate without significant distortion over ...
Alberto Parola +6 more
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The Light-cone Effect on the Clustering Statistics in the Cosmological Redshift Space [PDF]
, 1999 We present a theoretical formalism to predict the two-point clustering statistics (the power spectrum and the two-point correlation function), simultaneously taking account of the linear velocity distortion, the nonlinear velocity distortion (finger-of ...
Magira, Hiromitsu +2 more
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Evaluation of output frequency responses of nonlinear systems under multiple inputs [PDF]
, 2000 In this paper, a new method for evaluating output frequency responses of nonlinear systems under multiple inputs, defined as a sum of sinusoids of different frequencies, is developed.
Billings, S.A., Lang, Z.Q.
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Rate-Distortion Bounds for Kernel-Based Distortion Measures
Entropy, 2017 Kernel methods have been used for turning linear learning algorithms into nonlinear ones. These nonlinear algorithms measure distances between data points by the distance in the kernel-induced feature space.
Kazuho Watanabe
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Probing early-universe phase transitions with CMB spectral distortions [PDF]
, 2014 Global, symmetry-breaking phase transitions in the early universe can generate scaling seed networks which lead to metric perturbations. The acoustic waves in the photon-baryon plasma sourced by these metric perturbations, when Silk damped, generate ...
Amin, Mustafa A., Grin, Daniel
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Network Code Design for Orthogonal Two-hop Network with Broadcasting Relay: A Joint Source-Channel-Network Coding Approach [PDF]
, 2010 This paper addresses network code design for robust transmission of sources over an orthogonal two-hop wireless network with a broadcasting relay. The network consists of multiple sources and destinations in which each destination, benefiting the relay ...
Joda, Roghayeh, Lahouti, Farshad
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Nonlinear signal distortion corrections through quantum sensing [PDF]
Applied Physics Letters, 2021 Having accurate gate generation is essential for precise control of a quantum system. The generated gate usually suffers from linear and nonlinear distortion. Previous works have demonstrated how to use a qubit to correct linear frequency distortions but have not commented on how to handle nonlinear distortions.
Kevin R. Chaves +3 more
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Automatic compensation of nonlinear distortions [PDF]
IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276), 2003 When a signal passes a system having a static, nonlinear transfer function, the output signal will be distorted. In addition to it, the defected output signal is usually contaminated by noise, due to the noisy environment. If the distortion level of the signal is not acceptable, we have to compensate it.
T.B. Bako, T. Daboczi, B.A. Bell
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