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Low-PAPR Hybrid Filter for SC-FDMA
(IEEE, 2017)
We propose a hybrid filter to reduce the peak-to-average power ratio (PAPR) on the transmitter side in a long-term evolution uplink scheme. The design of the proposed filter is based on two key components: a finite impulse ...
Practical active control of cavity noise using loop shaping: Two case studies
(2017-06-01)
A simple loop shaping technique is applied to design an optimal, robust feedback controller to reduce the interior noise of an acoustic cavity. It is a data-based technique that uses the measured plant response to tune the ...
Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach
(London, 2014-01-03)
Aiming at overcoming the difficulties derived from the traditional camera calibration methods to record the underwater environment of a towing tank where experiments of scaled-model risers are carried on, a computer vision ...
Profilometry for the measurement of 3-D object shapes based on regularized filters
(Elsevier, 1999-03-01)
Regularized filters RFs. are used in profilometry for the measurement of three-dimensional object shapes. A linear grating pattern projected onto an object is phase-modulated by the 3-D shape. Phase information of the ...
Compact triplexer with open ring resonators as microstrip trisection bandpass filters for asymmetric response
(Scopus, 2013)
Open loop ring resonators are used as the basic block of a compact planar triplexer, they are used in cascaded trisection (CT) filters, in order to reduce the circuit size. The CT filter has a cross coupling that produces ...
Optimal scintillation time estimation through analog filters
(2023)
Scintillator crystals are a widespread solution for detecting high-energy radiation. These crystals spread the energy of the particle over time, which fundamentally limits the time resolution that can be obtained. This is ...
Combined Monte Carlo and Machine Learning Algorithms to Predict Horizontal Expansion of Lima City
(IEEE, 2022)
In this paper, the method of Monte Carlo is projected onto the Mitchell criteria inside the framework of Machine Learning. Because the probabilistic character that exhibits the theory of Mitchell, the Monte Carlo technology ...