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pro vyhledávání: '"Ertin _"'
This paper presents an open-source framework for collecting time series S-parameter measurements across multiple antenna elements, dubbed MPADA: Multi-Port Antenna Data Acquisition. The core of MPADA relies on the standard SCPI protocol to be compati
Externí odkaz:
http://arxiv.org/abs/2408.16850
Publikováno v:
Jurnal Farmasi Sains dan Praktis (2022)
Galing plant (Cayratia trifolia L. Domin) is a wild plant that spreads and is easily found in Indonesia, especially in the lowlands, which contains a class of secondary metabolites such as flavonoids, polyphenols, alkaloids, terpenoids, and triterpen
Externí odkaz:
https://doaj.org/article/5bd4008afecf4f90aee25780f3e45cba
We present a method for early detection of lymphatic fluid accumulation in lymphedema patients based on microwave imaging of the limb volume across an air gap. The proposed algorithm uses contour information of the imaged limb surface to approximate
Externí odkaz:
http://arxiv.org/abs/2401.14970
Generative models learned from training using deep learning methods can be used as priors in inverse under-determined inverse problems, including imaging from sparse set of measurements. In this paper, we present a novel hierarchical deep-generative
Externí odkaz:
http://arxiv.org/abs/2212.00069
Autor:
Agarwal, Tushar, Ertin, Emre
We present CardiacGen, a Deep Learning framework for generating synthetic but physiologically plausible cardiac signals like ECG. Based on the physiology of cardiovascular system function, we propose a modular hierarchical generative model and impose
Externí odkaz:
http://arxiv.org/abs/2211.08385
Autor:
Civek, Burak Cevat, Ertin, Emre
Bayesian estimation methods for sparse blind deconvolution problems conventionally employ Bernoulli-Gaussian (BG) prior for modeling sparse sequences and utilize Markov Chain Monte Carlo (MCMC) methods for the estimation of unknowns. However, the dis
Externí odkaz:
http://arxiv.org/abs/2108.12398
We present a compressive radar design that combines multitone linear frequency modulated (LFM) waveforms in the transmitter with a classical stretch processor and sub-Nyquist sampling in the receiver. The proposed compressive illumination scheme has
Externí odkaz:
http://arxiv.org/abs/2106.11490
Autor:
Civek, Burak Cevat, Ertin, Emre
In this paper, we investigate the problem of inverse electromagnetic scattering to recover multilayer human tissue profiles using ultrawideband radar systems in a Bayesian setting. We study the recovery problem in a blind setting, in which we simulta
Externí odkaz:
http://arxiv.org/abs/2101.11079