Results 31 to 40 of about 256,514 (313)
Multi-signal Compressed Sensing For Polarimetric SAR Tomography
In recent years, three-dimensional imaging by means of SAR tomography has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth-range pixel is usually recovered by processing data collected using a ...
Aguilera, Esteban Pedro +6 more
core +1 more source
Generalized Cardinal Polishing Splines Signal Reconstruction
Sampling and reconstruction are indispensable processes in signal processing, and appropriate foundations are crucial for spline reconstruction models.
Fangli Sun, Zhanchuan Cai
doaj +1 more source
In forward‐looking imaging, left‐right Doppler is ambiguous and cross‐range resolution is limited by real aperture, which result in traditional synthetic aperture radar imaging methods no longer applicable.
Gang Zhang +4 more
doaj +1 more source
Reconstruction of the virtual microphone signal based on the distributed ray space transform
In this paper we propose a technique for the reconstruction of the sound field at arbitrary positions based on a parametric sound field description. The methodology consists in the estimation of the sources model parameters (source position, radiation ...
Federico Borra +9 more
core +1 more source
Hierarchical Bayesian sparse image reconstruction with application to MRFM [PDF]
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gaussian noise. Our hierarchical Bayes model is well suited to such naturally
Hero, Alfred O. +2 more
core +1 more source
Analysis of physiological signals using state space correlation entropy
In this letter, the authors propose a new entropy measure for analysis of time series. This measure is termed as the state space correlation entropy (SSCE). The state space reconstruction is used to evaluate the embedding vectors of a time series.
Rajesh Kumar Tripathy +4 more
doaj +1 more source
PhaseSense — Signal Reconstruction from Phase-Only Measurements via Quadratic Programming
We consider the problem of reconstructing a complex-valued signal from its phase-only measurements. This framework can be considered as a generalization of the well-known one-bit compressed sensing paradigm where the underlying signal is known to be ...
Vinith Kishore +5 more
core +1 more source
Node-Adaptive Regularization for Graph Signal Reconstruction
A critical task in graph signal processing is to estimate the true signal from noisy observations over a subset of nodes, also known as the reconstruction problem.
Isufi, E. (author) +7 more
core +1 more source
A fast algorithm for sparse signal recovery via fraction function
In this article, a fast algorithm is studied to recover the sparse signals. It can be regarded as an extension of the parameterized fast iterative shrinkage‐thresholding algorithm from convex optimization to nonconvex optimization. Numerical results show
Angang Cui, Haizhen He, Hong Yang
doaj +1 more source
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source

