Parameter estimation of multiple sinusoids is one of the fundamental problems of signal
processing having numerous application areas, including wireless communications and …

Despite the increasing role of machine learning in various fields, very few works considered
artificial intelligence for frequency estimation (FE). This work presents comprehensive …

Frequency estimation of a 2-D complex sinusoid under white Gaussian noise is a significant
problem having a wide range of applications from signal processing, radar/sonar to wireless …

The study on the frequency estimation of a real sinusoid has been addressed in this article.
Discrete‐Fourier‐transform (DFT)‐based frequency estimation always uses the maximum …

Nasal-drug-delivery is an effective way to improve therapeutic effect. Droplet diameter and
its distribution directly impact the deposition position and bioavailability of the drug in nasal …

In this paper, a three-point interpolation algorithm based on the discrete Fourier transform
(DFT) is presented for a damped real-valued sinusoid, and the algorithm considers …

Aiming at improving the accuracy of parameter estimation, this paper proposes an iterative
algorithm for one/multiple damped real-valued sinusoids. Firstly, an initial three-point …

Frequency estimation of a sinusoidal signal is a fundamental problem in signal processing
for the Internet of Things. The frequency interpolation estimation algorithm based on the fast …

Improving the accuracy of noise periodic signal frequency measurement is a crucial job in
many applications of signal processing such as radar, sonar, speech, radio communication …

Sinusoidal parameter estimation for determining frequency position and amplitude is
challenging for noisy short vibration signals, eg from machines or human vibrations. In this …