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This investigation presents a blind frequency estimation and timing synchronization algorithm.
A robust blind frequency and timing estimation algorithm is developed for frequency hopping systems.
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We recorded randomization methods, allocation concealment, blinding, frequency and handling of missing data, adherence to intention-to-treat analysis, and selective outcome reporting.
In this work, we employ a composite approach that combines the sparse recovery of CA from its compressive measurements for blind cycle frequency estimation with a CFAR TDT detection.
Later, this system computes the blind eyelid frequency and eye gaze to build two drowsiness indices: PERCLOS (percentage of eye closure over time) [7] and AECS (average eye closure speed).
Given the rigorous efforts to maintain the blind, the frequency of incidents that led to breaking the blind (e.g., seeing the participant with a therapist) was minimal.
In this paper, a blind high-frequency reconstruction method of audio signals based on phase space reconstruction (PSR) and non-linear prediction is proposed.
To address these challenges, a new SI technique based on Time–Frequency Blind Source Separation (TFBSS) is proposed.
This paper presents an adaptation of the constant norm algorithm (CNA) class for frequency blind equalization in orthogonal frequency division multiplexing (OFDM) modulation.
The second feature with k = 2, 4 has previously been proposed in [30] for blind estimation of frequency offset of PSK and QAM signals and in[31] for the classification of MPSK modulations.
However, in a recent study of women experiencing more than five hot flushes per day, all study participants were given a placebo tablet in a single-blind, 4-week run-in phase, and during the subsequent 12-week double-blind phase the frequency of hot flushes was reduced by 44% in the women taking two Promensil tablets per day; no further reduction occurred in the placebo group [ 64].
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