Optical Fiber Vibration Sensor Using Least Mean Square Error Algorithm [PDF]
Sensors, 2020 In order to enhance the signal-to-noise ratio (SNR) of a distributed optical fiber vibration sensor based on coherent optical time domain reflectometry (COTDR), a high extinction ratio cascade structure of an acousto-optic modulator and semiconductor ...
Yu Wang +6 more
doaj +2 more sources
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not [PDF]
Geoscientific Model Development, 2022 The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. O. Hodson
doaj +1 more source
A novel extended Gumbel Type II model with statistical inference and Covid-19 applications
Results in Physics, 2022 Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields.
Showkat Ahmad Lone +3 more
doaj +1 more source
Bayesian minimum mean square error for transmissivity sensing
Physical Review Research, 2023 We address the problem of estimating the transmissivity of the pure-loss single-mode bosonic channel from the Bayesian point of view, i.e., when a prior probability distribution function (PDF) on the transmissivity is available.
Boyu Zhou +3 more
doaj +1 more source
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature [PDF]
Geoscientific Model Development, 2014 Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be
T. Chai, R. R. Draxler
doaj +1 more source
Theoretical Structure and Applications of a Newly Enhanced Gumbel Type II Model
Mathematics, 2023 Statistical models are vital in data analysis, and researchers are always on the search for potential or the latest statistical models to fit data sets in a variety of domains. To create an improved statistical model, we used a T-X transformation and the
Showkat Ahmad Lone +5 more
doaj +1 more source
Adaptive modulation based on steady-state mean square error for underwater acoustic communication
EURASIP Journal on Wireless Communications and Networking, 2021 To improve the transmission efficiency and facilitate the realization of the scheme, an adaptive modulation (AM) scheme based on the steady-state mean square error (SMSE) of blind equalization is proposed.
Zhiyong Liu, Zhoumei Tan, Fan Bai
doaj +1 more source
Sensors, 2023 This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference ...
Adriana-Maria Cuc +2 more
doaj +1 more source
Mean square cross error: performance analysis and applications in non-Gaussian signal processing
EURASIP Journal on Advances in Signal Processing, 2021 Most of the cost functions of adaptive filtering algorithms include the square error, which depends on the current error signal. When the additive noise is impulsive, we can expect that the square error will be very large.
Yunxiang Zhang +3 more
doaj +1 more source
Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities [PDF]
بوم شناسی کشاورزیIntroductionWheat (Triticum aestivum L.) is one of the most important and widely consumed crops in the world. Changing the density towards an optimal density can alter the ratio of soil evaporation to plant transpiration in such a way that water use ...
Ali Rahemi karizki +5 more
doaj +1 more source