An EPIC model-based wheat drought risk assessment using new climate scenarios in China
There is considerable research interest in future agro-drought risk assessment, since the
increasing severity of climate change-related hazards poses a great threat to global food …
increasing severity of climate change-related hazards poses a great threat to global food …
A background M-channel time-interleaved ADC calibration for multilevel modulations based on the probability density function difference and a greedy algorithm
YA Tavares, S Kim, M Lee - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
This paper presents the first time-interleaved analog-to-digital background calibration
targeted for multilevel modulations that can calibrate offset, gain, time skew and bandwidth …
targeted for multilevel modulations that can calibrate offset, gain, time skew and bandwidth …
Evaluation strategy and mass balance for making decision about the amount of aluminum fluoride addition based on superheat degree.
W Yue, W Gui, X Chen, Z Zeng… - Journal of Industrial & …, 2020 - search.ebscohost.com
The purpose of aluminum fluoride (AlF3) addition is to adjust the superheat degree (SD) in
the aluminum reduction process. Determining the appropriate amount of AlF3 to add has …
the aluminum reduction process. Determining the appropriate amount of AlF3 to add has …
Measuring the noise cumulative distribution function using quantized data
This paper considers the problem of estimating the cumulative distribution function and
probability density function of a random variable using data quantized by uniform and non …
probability density function of a random variable using data quantized by uniform and non …
Bee swarm detection based on comparison of estimated distributions samples of sound
G Krzywoszyja, R Rybski… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper describes a new measuring method of digital signal processing for detecting bee
swarm phenomenon. The new method uses a comparison of the similarity between the …
swarm phenomenon. The new method uses a comparison of the similarity between the …
Nonparametric probability density estimation via interpolation filtering
In this paper, we discuss nonparametric estimation of the probability density function (PDF)
of a univariate random variable. This problem has been the subject of a vast amount of …
of a univariate random variable. This problem has been the subject of a vast amount of …
Non-parametric estimation of probability density functions via a simple interpolation filter
In this paper we discuss non-parametric estimation of the probability density function (PDF)
of a univariate random variable. This problem has been the subject of a vast amount of …
of a univariate random variable. This problem has been the subject of a vast amount of …
Distributionally Robust Fault Detection by Using Kernel Density Estimation
In this paper, a method of distributionally robust fault detection (FD) is proposed for
stochastic linear discrete-time systems by using the kernel density estimation (KDE) …
stochastic linear discrete-time systems by using the kernel density estimation (KDE) …
Measurement-driven quality assessment of nonlinear systems by exponential replacement
We discuss the problem how to determine the quality of a nonlinear system with respect to a
measurement task. Due to amplification, filtering, quantization and internal noise sources …
measurement task. Due to amplification, filtering, quantization and internal noise sources …
Data-driven quality assessment of noisy nonlinear sensor and measurement systems
This paper considers the problem of determining and comparing the quality of nonlinear
sensor systems concerning a measurement task in a data-driven way. Due to various noise …
sensor systems concerning a measurement task in a data-driven way. Due to various noise …