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Showing 1-25 of 32,200 resultsfor "Index Terms":Exponential function
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Simple Generation of Gamma, Gamma–Gamma, and K Distributions With Exponential Autocorrelation Function
Journal of Lightwave Technology
Cited by: Papers (44)
The simulation of a free-space optical (FSO) communication channel in the presence of strong turbulence typically requires the generation of channel states with a K or gamma–gamma distribution and a predefined autocorrelation function. In this paper, we propose a simple and effective simulator of the strong-turbulence FSO channel that addresses the influence of the temporal covariance effect. Spec...Show More
A New Family of Continuous Probability Distribution: Gamma-Exponential Distribution (GED)Theory and its Properties
Olukunle Daniel Ogunwale;Kehinde Peter Ajewole;Korede Peter Olayinka;Ezekiel Olaoluwa Omole;Femi Emmanuel Amoyedo;Oluwadamilare J. Akinremi
2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
Year: 2024 | Conference Paper |
While probability distribution functions are crucial for simulating random processes, research on these functions and their features is required. However, studies have demonstrated that in certain cases, it is discovered that certain combinations of two or more random variables with known probability distributions follow the distributions of certain real-world data that cannot be sufficiently repr...Show More
Analysis of Incomplete, Censored Data in Competing Risks Models With Generalized Exponential Distributions
IEEE Transactions on Reliability
Cited by: Papers (51)
This paper presents estimates of the parameters included in a competing risks model in the presence of incomplete & censored data. We consider the case when the competing risks have generalized exponential distributions. The maximum likelihood procedure is used to derive point, and asymptotic confidence interval estimations of the unknown parameters. The relative risks due to each cause of failure...Show More
A new method for building a discrete analogue to a continuous random variable based on minimization of a distance between distribution functions
2021 International Conference on Data Analytics for Business and Industry (ICDABI)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
In this work, we propose a novel procedure for deriving a discrete counterpart to a continuous probability distribution. This procedure or, better, this class of procedures, is based on an appropriate distance between cumulative distribution functions. A discrete random distribution, supported on the set of integer values, is obtained by minimizing its distance to the assigned continuous probabili...Show More
FPGA based implementation of low-latency floating-point exponential function
IET International Conference on Smart and Sustainable City 2013 (ICSSC 2013)
Year: 2013 | Conference Paper |
Cited by: Papers (5)
Exponential function is an essential requisite in a wide range of engineering application, such as image processing and digital signal processing (DSP). This paper describes a FPGA implementation of double precision exponential function. The design module provides low latency and high accuracy. The low-latency floating-point exponential function simulation results show that the exponential functio...Show More
OTA-Based Logarithmic Circuit for Arbitrary Input Signal and Its Application
In this paper, a new design procedure has been proposed for realization of logarithmic function via three phases: 1) differentiation; 2) division; and 3) integration for any arbitrary analog signal. All the basic building blocks, i.e., differentiator, divider, and integrator, are realized by operational transconductance amplifier, a current mode device. Realization of exponential, power law, and h...Show More
PSO-E: Particle Swarm with Exponential Distribution
2006 IEEE International Conference on Evolutionary Computation
Year: 2006 | Conference Paper |
Cited by: Papers (35)
Studies with the Gaussian and Cauchy probability distributions have shown that the performance of the standard PSO algorithm can be improved. But these versions may also get stuck in local minima when optimizing functions with many local minima in high dimensional search space. In this paper, we will provide new results with PSO using the Exponential probability distribution aiming at improvement ...Show More
We study a linear multicompartment age-distribution model of cell growth, where the age variable represents the time spent in the current phase of cell growth. Our results are relevant for the modelling of cancer cells in vitro, where factors such as overcrowding and scarcity of nutrients (for which the model would have to be non-linear) can be neglected. We first present a result regarding the st...Show More
Parameter estimation of double exponential pulses (EMP, UWB) with least squares and Nelder Mead algorithm
Transient test pulses like electromagnetic pulse and ultrawide-band are commonly described by rise time t/sub r/, pulse length t/sub fwhm/ and the maximum amplitude E/spl circ/. Simulating the effects of varying pulses an analytical description of the pulses is necessary, which is given by a double exponential form with the parameters /spl alpha/, /spl beta/ and E/sub 0/. This paper describes the ...Show More
Scattering coefficient for S wave incident in a random medium characterized by exponential correlation function
Analytical expressions for scattering coefficients for S-wave incidence have been derived for the medium defined by the exponential correlation function. Low- and high-frequency asymptotic characteristics of the total scattering coefficients have also been investigated. The scattered energy of the converted waves reaches a maximum value in the high-frequency range for the case of an exponential co...Show More
Complex Function Approximation Using Two-Dimensional Interpolation
IEEE Transactions on Computers
Cited by: Papers (4)
This paper presents a new scheme for evaluating complex reciprocal and exponential functions in hardware. The proposed method utilizes a two-dimensional convolution algorithm to interpolate bivariate functions from tabulated function values in the complex domain. To reduce the memory requirements for lookup tables, the interpolation is decomposed into independent row and column computations, such ...Show More
Impact of Single Defects on NBTI and PBTI Recovery in SiO2 Transistors
K. Tselios;T. Knobloch;J. Michl;D. Waldhoer;C. Schleich;E. Ioannidis;H. Enichlmair;R. Minixhofer;T. Grasser;M. Waltl
2022 IEEE International Integrated Reliability Workshop (IIRW)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
The reliable operation of MOS transistors is affected by charge trapping at defects located inside the oxide and at the oxide/semiconductor interface. Each of the single defects can capture and emit a charge, alter the device electrostatics and thus affect the device behavior, which can be observed as a drift of the threshold voltage. Understanding the physical mechanisms of charge trapping and th...Show More
CMOS current-mode PWL implementation using MAX and MIN operators
O. J. Cinco-Izquierdo;M. T. Sanz-Pascual;L. Hernández;C. A. de la Cruz-Blas
2017 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2017 | Conference Paper |
In this manuscript a novel current-mode technique to implement generic Piecewise-Linear (PWL) functions is presented. The main characteristic of the proposed circuits is that errors are not accumulated by adding linear segments; instead they are local, providing more robust designs. The proposed circuits are designed in a standard 0.18μm CMOS process with 1.8V power supply. Their operation is base...Show More
Design of an Improved Sliding Mode Observer for Sensorless Switched Reluctance Motors
2024 IEEE International Conference on Energy Internet (ICEI)
Year: 2024 | Conference Paper |
Aiming at the problems of large torque pulsation of switched reluctance motor and the jitter vibration and slow error convergence rate of conventional sliding mode observer, an improved sliding mode observer that suppresses the torque pulsation, reduces the jitter vibration, and improves the convergence rate is introduced in order to realize the precise control of switched reluctance motor without...Show More
Software reliability growth models based on Marshall-Olkin generalized exponential families of distributions
2011 IEEE International Conference on Quality and Reliability
Year: 2011 | Conference Paper |
Cited by: Papers (2)
Software has been becoming an important and inevitable tool in our modern day to day life. It finds numerous applications such as space, telecommunications technology, military, nuclear plants, air traffic and medical monitoring control. To meet the continuing demand for high quality software, an enormous multitude of Software reliability Growth models have been proposed and adopted in recent year...Show More
A new defect distribution metrology with a consistent discrete exponential formula and its applications
IWSM. 1998 3rd International Workshop on Statistical Metrology (Cat. No.98EX113)
Year: 1998 | Conference Paper |
We have proposed a novel discrete exponential distribution function, which describes defect-count distributions on wafers and/or chips more accurately, especially for near-defect-free conditions. The conventional approach based on a gamma probability density function (g-PDF) is known to fail in terms of expressing defect-free wafers or chips, which always gives 0 PDF value. Since the number of fau...Show More
Remaining Useful Life Prediction of Lithium-ion Batteries Based on Particle Filter with Generalized Exponential Distribution
Xuan Xie;Xi-Feng Li;Dong-Jie Bi;Yong-Le Xie;Shen-Jie Tang;Li-Biao Peng
2022 2nd International Conference on Intelligent Technology and Embedded Systems (ICITES)
Year: 2022 | Conference Paper |
A remaining useful life (RUL) prediction method is proposed, which uses a particle filter (PF) with the generalized exponential distribution (GE). There are three parameters in the adopted GE and the maximum likelihood estimation is used to estimate the parameters of GE. Due to the parameters in GE, more prior information in historical data can be absorbed and taken into PF for RUL prediction. The...Show More
Chemical Reaction Optimization (CRO) is a powerful metaheuristic which mimics the interactions of molecules in chemical reactions to search for the global optimum. The perturbation function greatly influences the performance of CRO on solving different continuous problems. In this paper, we study four different probability distributions, namely, the Gaussian distribution, the Cauchy distribution, ...Show More
In reliability studies the survivor function plays a very important role. This paper considers the class of exponential type distributions and indicates a method for obtaining the survivor function of its mixture. Two examples are provided as illustrations from which some well known results follow trivially.Show More
Shape Properties of Pulses Described by Double Exponential Function and Its Modified Forms
Double exponential function and its modified forms are widely used in high-power electromagnetics such as high-altitude electromagnetic pulse and ultrawide-band pulse study. Physical parameters of the pulse, typically the rise time tr, full width at half maximum tw, and/or fall time tf , usually need to be transformed into mathematical characteristic parameters of the functions, commonly denoted a...Show More
Theoretical Analysis of Serial/Parallel Variations of Hash-Mining for Smaller Variance of Confirmation Time
2024 IEEE International Conference on Consumer Electronics (ICCE)
Year: 2024 | Conference Paper |
In Bitcoin, the computational problem that miners try to solve is an equation described in terms of a hash function. The hash-mining time consumed for solving the problem is known to follow the exponential distribution. In this paper, we study two variations of computational problems that are constructed from the computational problem of Bitcoin. The first variation is a serial composition and the...Show More
A two-parameter exponential function approach to simply and accurately characterize spatial regime of topographic index for land-surface parameterizations
2007 IEEE International Geoscience and Remote Sensing Symposium
Year: 2007 | Conference Paper |
Cited by: Papers (1)
The concept of topographic index (TI), for characterizing the likely distribution of variable source areas within a watershed, has been successfully incorporated into some land-surface processes parameterizations and climate models. Representing the spatial distribution regime of TI accurately and simply is a crucial issue for those topography-based landatmosphere interactions studies. In this pap...Show More
Fault diagnosis of rolling bearing has been the focus of research. Bearing signals are often accompanied by similar information, resulting in redundancy between data. Moreover, rolling bearing is often used in situations with large background noise, so extracting the characteristic value of rolling bearing signal and removing noise from the signal are of great significance. This paper presents a f...Show More
Approximation method for probability distribution functions using Cox distribution to evaluate multimedia systems
Proceedings 2001 Pacific Rim International Symposium on Dependable Computing
Year: 2001 | Conference Paper |
Cited by: Papers (1)
Several probability distribution functions such as exponential distribution function have been used to represent the task arrival process and processing time of tasks for multimedia systems. These distribution functions are simple, memory less, and easy-to-use, however,they are difficult to represent the task arrival process of multimedia stream data or audio data having real-time properties. This...Show More
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