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Journal articles on the topic 'MATLAB estimation'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Luo, Jiao Yan, and Xiang E. Sun. "Matlab-Based Formant Estimation." Applied Mechanics and Materials 577 (July 2014): 798–801. http://dx.doi.org/10.4028/www.scientific.net/amm.577.798.

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In the study of speech digital signal processing, the resonance peak is the major characteristics in reflecting track resonant. In order to be more conducive to the future development of speech signal processing techniques, three methods of the formant estimation are introduced in the article, namely, Short-time Fourier Transform method, Cepstrum, LPC estimation method. These methods are compared and analyzed by means of MATLAB programming, and it is concluded that LPC method is the best method, which can estimate the formant peaks more accurate.

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Marbukhari, Norhaflyza Binti. "Development of BER Tool." Journal of Applied Engineering & Technology (JAET) 3, no. 2 (2019): 9–16. http://dx.doi.org/10.55447/jaet.03.02.17.

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This rsearch work presents an educational software interface tool for analyzing and estimating the bit error rate (BER) of an optical communication system. Currently BER estimation tool required expensive measurement equipment such as serial data analyzer (SDA) and BER Tester. In addition to cost all this equipment is also limited to BER estimation based on standard format and is not suitable for custom analysis because of time constraint to use equipment even during offline estimation. This educational software interface tool is developed using OPTISYSTEM software and built-in MATLAB command.

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Taroni, Matteo, and Jacopo Selva. "GR_EST: An OCTAVE/MATLAB Toolbox to Estimate Gutenberg–Richter Law Parameters and Their Uncertainties." Seismological Research Letters 92, no. 1 (2020): 508–16. http://dx.doi.org/10.1785/0220200028.

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Abstract The estimation of the earthquake size distribution parameters is one of the most important parts in any seismic hazard study. GR_EST toolbox is a source code written for OCTAVE/MATLAB (Eaton et al., 2019; MATLAB, 2019) that allows estimating these parameters in a proper way, including the estimation of the associated uncertainties. The toolbox contains functions to make the parameter estimation both for instrumental and historical seismic catalogs, also considering time-varying completeness for magnitudes. Different functional forms for the magnitude–frequency distribution and differe

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Alabadee, Fadhil abdulabaas, Yahya Mahdi Al â€“ Mayali, and Irtifaa AbulKadhum Neama. "A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution." Journal of Kufa for Mathematics and Computer 1, no. 8 (2013): 21–28. http://dx.doi.org/10.31642/jokmc/2018/010804.

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In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program. The comparison show that the Bayes estimator gives the best results ( less error) .Â

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Selman, Bareq Baqe, and Alaa M. Hamad. "Different Estimation Methods of the Stress-Strength Reliability Power Distribution." Ibn AL-Haitham Journal For Pure and Applied Sciences 32, no. 3 (2019): 70–82. http://dx.doi.org/10.30526/32.3.2284.

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This paper deals with estimation of the reliability system in the stress- strength model of the shape parameter for the power distribution. The proposed approach has been including different estimations methods such as Maximum likelihood method, Shrinkage estimation methods, least square method and Moment method. Comparisons process had been carried out between the various employed estimation methods with using the mean square error criteria via Matlab software package.

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Ji, Min, Jing Feng He, and You Qiang Lai. "AR Model Power Spectrum Estimation and MATLAB Simulation." Advanced Materials Research 971-973 (June 2014): 1561–64. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1561.

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the power spectrum estimation researches various characteristics of signals in the frequency domain. The purpose is that signals are recognized and extract .Because these useful signals are submerged in noise .The article introduces estimation in the classic power spectrum and modern power spectrum. It is important that algorithm of AR model parameters are introduced in the parameter estimation of several typical. It discusses the advantages and disadvantages of various algorithms, and with the help of MATLAB platform, the various algorithms of power spectrum are simulated, in order to underta

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Subba Rao, T. "Classification, parameter estimation and state estimation - an engineering approach using MATLAB." Journal of Time Series Analysis 32, no. 2 (2011): 194. http://dx.doi.org/10.1111/j.1467-9892.2010.00665.x.

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Li, Jun Hua, and Hong Wei Quan. "Radiate Source Target Localization Techniques Using Airborne ESM Sensor." Applied Mechanics and Materials 602-605 (August 2014): 1056–59. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1056.

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This paper investigated the radiate source target localization techniques using airborne ESM sensor. Two algorithms are represented for different application environments. Pseudo linear estimation algorithm is used for estimating static target states with bearings-only measurements. The measurement data are bearings which are affected by random Gaussian observation noises. Iterated least squares estimation algorithm used iterative techniques to enhance the estimation accuracy. It is a kind of estimation algorithm based on the least squares estimation. Finally two scenarios are represented in M

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Wang, Cheng C., Changchun Shi, Robert W. Brodersen, and Dejan Marković. "An Automated Fixed-Point Optimization Tool in MATLAB XSG/SynDSP Environment." ISRN Signal Processing 2011 (May 10, 2011): 1–17. http://dx.doi.org/10.5402/2011/414293.

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This paper presents an automated tool for floating-point to fixed-point conversion. The tool is based on previous work that was built in MATLAB/Simulink environment and Xilinx System Generator support. The tool is now extended to include Synplify DSP blocksets in a seamless way from the users' view point. In addition to FPGA area estimation, the tool now also includes ASIC area estimation for end-users who choose the ASIC flow. The tool minimizes hardware cost subject to mean-squared quantization error (MSE) constraints. To obtain more accurate ASIC area estimations with synthesized results, 3

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Zhao, Shen, and Xiao Fei Zhang. "Platform of Spatial Spectrum Estimation Based on Matlab GUI." Applied Mechanics and Materials 556-562 (May 2014): 3357–60. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3357.

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A platform of spatial estimation, which is based on Matlab GUI, was established. We use Matlab to do analysis of different parameters (Signal-to-noise ratio, the number of snapshots, the number of antenna elements, the number of targets) and simulate the results with different algorithm. In addition, we use a Matlab GUI to present the results of simulations in a interface-friendly way.

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Sherstneva, Alina A., and Olga G. Sherstneva. "IDENTIFICATION OF AN AUTOREGRESSIVE PROCESS USING MATLAB." T-Comm 15, no. 7 (2021): 34–38. http://dx.doi.org/10.36724/2072-8735-2021-15-7-34-38.

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The article aims to apply the methods of regression analysis in estimation task the reliability indicators of an infocommunication system and data trend forecasting. The task of assessment the reliability indicators of infocommunication systems is based, traditionally, on statistical data, the collection and processing is carried out by monitoring system. To obtain the calculated indicators as close as possible to the real practical results it is necessary to process a large number of measurements. In this sense, the theory of filtration is widely used in various estimation problems. It allows

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Shi, Yu, Yueting Hou, Yue Yu, Zhaoyang Jin, and Mohamed A. Mohamed. "Robust Power System State Estimation Method Based on Generalized M-Estimation of Optimized Parameters Based on Sampling." Sustainability 15, no. 3 (2023): 2550. http://dx.doi.org/10.3390/su15032550.

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Robustness is an important performance index of power system state estimation, which is defined as the estimator’s capability to resist the interference. However, improving the robustness of state estimation often reduces the estimation accuracy. To solve this problem, this paper proposes a power system state estimation method for generalized M-estimation of optimized parameters based on sampling. Compared with the traditional robust state estimator, the generalized M-estimator based on projection statistics improves the robustness of state estimation, and the proposed optimized parameter dete

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Diab, Ahmed A. Zaki, Mohammed A. Elsawy, Kotin A. Denis, Salem Alkhalaf, and Ziad M. Ali. "Artificial Neural Based Speed and Flux Estimators for Induction Machine Drives with Matlab/Simulink." Mathematics 10, no. 8 (2022): 1348. http://dx.doi.org/10.3390/math10081348.

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In this paper, an Artificial Neural Network (ANN) for accurate estimation of the speed and flux for induction motor (IM) drives has been presented for industrial applications such as electric vehicles (EVs). Two ANN estimators have been designed, one for the rotor speed estimation and the other for the stator and rotor flux estimation. The input training data has been collected based on the currents and voltage data, while the output training data of the speed and stator and rotor fluxes has been established based on the measured speed and flux estimator-based mathematical model of the IM. The

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Khalesi, Elham. "Quantum Theory Proof Show by MATLAB Software." Journal of Applied Material Science & Engineering Research 7, no. 2 (2023): 107–8. https://doi.org/10.33140/jamser.07.02.04.

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This paper is based on Numeric Estimation that for unsymmetrical figures has benefits. Also, this project by Finite Difference Method and Matlab Programming and knowing potential in boundary condition , field in Microwave Devices or parameters in Transfer Electronics Line obtain.

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Abhijit, N. Bhirud 1. Vinayak R. Ambrule 2. "PRE-DESIGN STAGE CONSTRUCTION COST PREDICTION OF BUILDING PROJECTS USING ARTIFICIAL NEURAL NETWORK." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 9 (2017): 314–25. https://doi.org/10.5281/zenodo.891900.

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Cost is one of the major factors in decision making at the early stages of a building construction process. The real challenge in cost estimation of building projects at the early stage is lack of information. So decision making is important in cost estimation for building design processes which needs an estimation tool for designers, estimators and project managers. Artificial neural networks (ANN) method is most effective and appropriate technique for initial stage cost estimation. This project is highlighting the study of Application of Artificial neural network (ANN) for pre design cost es

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Munguía, J., J. Ciurana, and C. Riba. "Neural-network-based model for build-time estimation in selective laser sintering." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 223, no. 8 (2009): 995–1003. http://dx.doi.org/10.1243/09544054jem1324.

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Cost assessment for rapid manufacturing (RM) is highly dependent on time estimation. Total build time dictates most indirect costs for a given part, such as labour, machine costs, and overheads. A number of parametric and empirical time estimators exist; however, they normally account for error rates between 20 and 35 per cent which are then translated to inaccurate final cost estimations. The estimator presented herein is based on the ability of artificial neural networks (ANNs) to learn and adapt to different cases, so that the developed model is capable of providing accurate estimates regar

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Su, Bo Ni, Hong Xie, and Xi Yao Hua. "The Simulation Research of Classic Spectrum Estimation Periodogram Method Based on Matlab." Advanced Materials Research 926-930 (May 2014): 2857–60. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2857.

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The spectrum estimation is a main content of modern signal processing, it is very important for random signal detection and analysis. This paper researched the classical spectrum estimation method, simulated the periodogram method, Barlett method, and Welch method of power spectrum estimation, then mainly discussed the spectral resolution about different length of data, also discussed the resolution of the spectral estimation and the performance of variance in the different way.

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Memon, Farida, Aamir Hussain Memon, Shahnawaz Talpur, Fayaz Ahmed Memon, and Rafia Naz Memon. "Design and Co-Simulation of Depth Estimation Using Simulink HDL Coder and Modelsim." July 2016 35, no. 3 (2016): 473–82. http://dx.doi.org/10.22581/muet1982.1603.17.

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In this paper a novel VHDL design procedure of depth estimation algorithm using HDL (Hardware Description Language) Coder is presented. A framework is developed that takes depth estimation algorithm described in MATLAB as input and generates VHDL code, which dramatically decreases the time required to implement an application on FPGAs (Field Programmable Gate Arrays). In the first phase, design is carriedout in MATLAB. Using HDL Coder, MATLAB floating- point design is converted to an efficient fixed-point design and generated VHDL Code and test-bench from fixed point MATLAB code. Further, the

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Zheng, Yan Ping, Tian Tian, and Zhengang He. "Performance Parameter Estimation of the Parallel Hybrid Electric Vehicle." Applied Mechanics and Materials 130-134 (October 2011): 2180–84. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2180.

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Based on the theory of HEV (Hybrid Electric Vehicle) and the idea of reverse simulation, the simulation model of the parallel HEV is established in MATLAB and the estimation of the energy efficiency, the power performance and the fuel economy of HEV is achieved, which provides reference for the performance estimation of parallel HEV. At the same time the definition and the estimating method about HEV energy efficiency were mentioned in this paper and the energy efficiency can be achieved by the simulation model. The results of the simulation show that this estimating method has certain practic

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Tudoroiu, Nicolae, Mohammed Zaheeruddin, and Roxana-Elena Tudoroiu. "Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study." Energies 13, no. 11 (2020): 2749. http://dx.doi.org/10.3390/en13112749.

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Estimating the state of charge (SOC) of Li-ion batteries is an essential task of battery management systems for hybrid and electric vehicles. Encouraged by some preliminary results from the control systems field, the goal of this work is to design and implement in a friendly real-time MATLAB simulation environment two Li-ion battery SOC estimators, using as a case study a rechargeable battery of 5.4 Ah cobalt lithium-ion type. The choice of cobalt Li-ion battery model is motivated by its promising potential for future developments in the HEV/EVs applications. The model validation is performed

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Du, Chang Qing, Gang Du, Ke Cheng Tan, and Yong Shan Liu. "Research on Remaining Driving Range Estimation of Electric Vehicle Based on Dynamic Working Condition." Advanced Materials Research 945-949 (June 2014): 509–15. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.509.

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Aimed at estimating the remaining driving range of electric vehicle (EV) on dynamic working condition and exploring the influences on remaining driving range estimation, combined GT-Drive and Matlab, EV simulation model and remaining driving range estimation model have established. Based on UDDS, compared simulation results with estimation results of remaining driving range, the influences on remaining driving range estimation have been discovered, then a optimization scheme is put forward. With the method of corrected parameter, the error of initial estimation value is reduced; when braking e

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Farmer, Jenny, and Donald J. Jacobs. "MATLAB tool for probability density assessment and nonparametric estimation." SoftwareX 18 (June 2022): 101017. http://dx.doi.org/10.1016/j.softx.2022.101017.

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Khalaf, Mohammed Mustaf, and Amer Mejbel Ali. "Parameters Estimation Tests of Induction Machine Using Matlab/Simulink." Journal of Physics: Conference Series 1973, no. 1 (2021): 012109. http://dx.doi.org/10.1088/1742-6596/1973/1/012109.

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Balabadrapatruni, Sai Suhas. "Performance Evaluation of Direction of Arrival Estimation Using Matlab." Signal & Image Processing : An International Journal 3, no. 5 (2012): 57–72. http://dx.doi.org/10.5121/sipij.2012.3505.

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Bala, Rajni, Anupma Marwaha, Megha Gupta, et al. "Estimation of the Speed of the Vehicle Using MATLAB." Asian Journal of Electrical Sciences 11, no. 2 (2022): 35–38. http://dx.doi.org/10.51983/ajes-2022.11.2.3465.

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The research paper uses image processing to exhibit moving car video sequences and estimates their speeds. In this paper, grayscale is utilized by the MatLAB program to pre-process video images and give a stream of legitimate video footage of traffic. This article’s challenge uses a deep studying method that wishes a vast quantity of computation for training. Thus, Authors determined to lessen the scope of the challenge to teach a version that could examine one-of-a-kind site visitors’ velocity symptoms and symptoms.

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Et al., Khaleel. "Estimating the Reliability Function of (2+1) Cascade Model." Baghdad Science Journal 16, no. 2 (2019): 0395. http://dx.doi.org/10.21123/bsj.16.2.0395.

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This paper discusses reliability R of the (2+1) Cascade model of inverse Weibull distribution. Reliability is to be found when strength-stress distributed is inverse Weibull random variables with unknown scale parameter and known shape parameter. Six estimation methods (Maximum likelihood, Moment, Least Square, Weighted Least Square, Regression and Percentile) are used to estimate reliability. There is a comparison between six different estimation methods by the simulation study by MATLAB 2016, using two statistical criteria Mean square error and Mean Absolute Percentage Error, where it is fou

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Et al., Khaleel. "Estimating the Reliability Function of (2+1) Cascade Model." Baghdad Science Journal 16, no. 2 (2019): 0395. http://dx.doi.org/10.21123/bsj.2019.16.2.0395.

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This paper discusses reliability R of the (2+1) Cascade model of inverse Weibull distribution. Reliability is to be found when strength-stress distributed is inverse Weibull random variables with unknown scale parameter and known shape parameter. Six estimation methods (Maximum likelihood, Moment, Least Square, Weighted Least Square, Regression and Percentile) are used to estimate reliability. There is a comparison between six different estimation methods by the simulation study by MATLAB 2016, using two statistical criteria Mean square error and Mean Absolute Percentage Error, where it is fou

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Zhang, Tao, Wei Ni, Hui Ping Zhang, and Sha Sha Wu. "Sensorless Control of IPMSM Using Extended Flux Estimation Method." Applied Mechanics and Materials 150 (January 2012): 95–99. http://dx.doi.org/10.4028/www.scientific.net/amm.150.95.

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The mathematic models of an interior permanent magnet synchronous motor (IPMSM) are deduced in this paper. A novel sensorless control strategy for IPMSM is proposed. An extended ﬂux is systematically derived by using the proposed extended ﬂux estimating method. The shaft position and speed of the motor are obtained. The simulation control system is built based on Matlab and a TMS320LF2407 digital signal processor is used to execute the rotor position estimation and rotor speed estimation. Several experimental and simulation results are provided to validate the control strategy.

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Surya, Sumukh, Cifha Crecil Saldanha, and Sheldon Williamson. "Novel Technique for Estimation of Cell Parameters Using MATLAB/Simulink." Electronics 11, no. 1 (2021): 117. http://dx.doi.org/10.3390/electronics11010117.

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The main source of power in Electric Vehicles (EVs) is derived from batteries. An efficient cell model is extremely important for the development of complex algorithms like core temperature estimation, State of Health (SOH) estimation and State of Charge (SOC) estimation. In this paper, a new methodology for improving the SOC estimation using Equivalent Cell Model (ECM) approach is proposed. The modeling and simulations were performed using MATLAB/Simulink software. In this regard, a Li polymer cell was modeled as a single Resistor-Capacitor (RC) pair (R0, R1 and C1) model using PowerTrain blo

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Jiao, Zhi. "Speed Sensorless Control System Based on MRAS." Applied Mechanics and Materials 742 (March 2015): 586–89. http://dx.doi.org/10.4028/www.scientific.net/amm.742.586.

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In this paper, a strategy for estimating the induction motor’s rotor speed is proposed. The proposed rotor speed estimation strategy is based on model reference adaptive identification theory. By applying the proposed strategy, the induction motor control system can estimate the induction motor's rotor speed precisely. To improve the rotor speed estimation performance of the system, two methods have been adopt. The speed sensorless control system based on proposed strategy was built with Simulink blocks in Matlab platform. The corresponding simulation results demonstrate that the proposed meth

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Abidin, Zainal. "Robust Control Systems Design Using Matlab." Jurnal Elektro 3, no. 1 (2018): 13. http://dx.doi.org/10.30736/je.v3i1.213.

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In general, robustness does not “come for free” from a controller designed via optima control and estimation theory (observer design): a controller designed for a nominal process model generally works fine for the nominal plant model, but may fail for even a “nearby” plant model. An important point of all feedback control synthesis methods is the control engineer’s awareness of inherent trade–offs : increasing the robustness will generally make the controller“less aggressive”, and will thereby decrease system performance.Robust control allows to specify more or less directly the plant uncertai

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R, Mini, Binoj P.V., B. Hariram Satheesh, and Dinesh M.N. "Real Time Validation of EKF Estimator for Low Speed Estimation in DTC IMD." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 1 (2018): 433. http://dx.doi.org/10.11591/ijpeds.v9.i1.pp433-442.

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Low speed estimation in DTC IMD is not accurate due to the presence of transient offset, drift and domination of ohmic voltage drop in the measured stator voltages and currents used for estimating the stator flux required for accurate estimation of speed. EKF is a nonlinear, recursive adaptive algorithm capable of estimating speed ranging from very low speed to rated speed using equation of motion from noisy measured currents and voltages based on state space technique. In the previous work a new state space model of IM was developed for estimation in EKF by feeding load torque profile as an i

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Bensaid, Mounir, Abdellfattah Ba-Razzouk, and Mustapha Elharoussi. "Novel Method for DC Bus Voltage Sags Estimation Using the Switching Function Approach and ADALINE Method." ITM Web of Conferences 48 (2022): 04003. http://dx.doi.org/10.1051/itmconf/20224804003.

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In this study, a functional model for diode bridge rectifiers (DB) is developed based on the concept of switching functions. The developed model is suitable for the estimation of the average voltage at the rectifier terminals from the fundamental three-phase voltage estimation based on the Adaline method and a DC bus estimator based on the switching function method, The performance of the detection estimator was validated in simulation using Matlab software under normal, unbalanced and line fault conditions. The high accuracy and efficiency of the developed estimator were demonstrated by compa

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Wang, Zhenpo, Jianyang Wu, Lei Zhang, and Yachao Wang. "Vehicle sideslip angle estimation for a four-wheel-independent-drive electric vehicle based on a hybrid estimator and a moving polynomial Kalman smoother." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 233, no. 1 (2018): 125–40. http://dx.doi.org/10.1177/1464419318770923.

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This paper presents a vehicle sideslip angle estimation scheme against noises and outliers in sensor measurements for a four-wheel-independent-drive electric vehicle. The proposed scheme combines a robust unscented Kalman filter estimator based on the 3-DOF vehicle dynamics model and an extended Kalman filter estimator based on the kinematic model to form a hybrid estimator through a weighting factor. The weighting factor can be dynamically adjusted in real time to optimize the overall estimation performance under different driving conditions. The main contributions of this study to the relate

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Sarwono, Rakhman Sarwono. "Mathematical Modelling of Hydrothermal Carbonization of Biomass Using MATLAB." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 2 (2025): 236–40. https://doi.org/10.51583/ijltemas.2025.14020026.

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This paper presents an original reaction kinetics model as a tool for estimating the carbon yield in hydrothermal carbonization (HTC) of biomass. The kinetics model was developed in MATLAB. The reaction pathways described through a model, in which biomass is converted into solid, liquid and gaseous products. Runge-Kutta method was used to solve the 4 equations derived from the reaction suggestion, through the estimation of 6 Arrhenius kinetics parameters (k1, k2, k3, k4, k5, and k6). The HTC reaction pathway was described through a lumped model, in which biomass is converted into three phase,

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Niasar, Abolfazl Halvaei, Hossein Rahimi Khoei, Mahdi Zolfaghari, and Hassan Moghbeli. "Artificial Neural Network Based Sensorless Vector Control of Induction Motor Drive." Applied Mechanics and Materials 704 (December 2014): 325–28. http://dx.doi.org/10.4028/www.scientific.net/amm.704.325.

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Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. For these speed sensorless AC drive system, it is key to realize speed estimation accurately. This paper describes a Model Reference Adaptive System (MRAS) based scheme using Artificial Neural Network (ANN) for online speed estimation of sensorless vector controlled induction motor drive. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab.

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Bayoumi, Seif, Mohamed Hamdy, Mohamed M. Abo Elazm, and Mohamed Fahmy M. Shehadeh. "Development of submarine cable hydrodynamic loads calculation program using MATLAB." Advances in Mechanical Engineering 12, no. 2 (2020): 168781402090608. http://dx.doi.org/10.1177/1687814020906080.

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A MATLAB program was developed to estimate the hydrodynamic forces due to wave and current on an un-trenched submarine cable of diameter 9 in resting at the bottom of a 14-m depth sea, utilizing the Fourier decomposition method. The aim of this part of the research is to provide an accurate estimation of the hydrodynamic forces acting on the cable and to present a comparison between the Morison force model and Fourier decomposition force model. In addition, investigating the methods of fixation for submarine pipes and cables as the commonly used methods is of high cost for both manufacturing a

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El Maliki, Anas, Abdessamad Benlafkih, Kamal Anoune, and Abdelkader Hadjoudja. "Reduce state of charge estimation errors with an extended Kalman filter algorithm." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 57. http://dx.doi.org/10.11591/ijece.v14i1.pp57-65.

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Li-ion batteries (LiBs) are accurately estimated under varying operating conditions and external influences using extended Kalman filtering (EKF). Estimating the state of charge (SOC) is essential for enhancing battery efficiency, though complexities and unpredictability present obstacles. To address this issue, the paper proposes a second-order resistance-capacitance (RC) battery model and derives the EKF algorithm from it. The EKF approach is chosen for its ability to handle complex battery behaviors. Through extensive evaluation using a Simulink MATLAB program, the proposed EKF algorithm de

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Mohammed, Raghad K. "Comparing Various Channel Estimation Techniques for OFDM Systems Using MATLAB." International Journal of Wireless & Mobile Networks 11, no. 03 (2019): 19–31. http://dx.doi.org/10.5121/ijwmn.2019.11302.

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Dr. Deependra Pandey, Chandana Pandey,. "Performance Analysis of Block Based Motion Estimation Algorithms Using MATLAB." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, no. 03 (2015): 1344–47. http://dx.doi.org/10.15662/ijareeie.2015.0403025.

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Nilesh, Pawaskar Gayatri, Shaikh Anas Ahmed Atique, Saiyed Aman Nisar, Samal Deepak Kumar Ratnakar, and Dr Anup Narayan Chawan. "Estimation of Automotive li-ion Battery Parameters Using MATLAB Simulink." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 291–336. http://dx.doi.org/10.22214/ijraset.2022.47867.

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Abstract: Electric Vehicles have seen a great boon of improvement over the last couple of decades. The evolution of these vehicles has led to greater changes in battery packs being utilized for the improvement of the performance of EVs, this has created a need for greater Battery Management Systems. Battery monitoring is vital for most Electric Vehicles (EVs) for greater executions and safety of the occupants. The project presented in this book focuses on estimation of Lithium Ion Battery Parameters using MATLAB Simulink software for 2022-Nissan LEAF Electric Vehicle. Battery management system

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Csóka, Bence, Péter Fiala, and Péter Rucz. "Direction and Distance Estimation of Sound Sources with Microphone Arrays." Infocommunications journal 16, no. 2 (2024): 43–50. http://dx.doi.org/10.36244/icj.2024.2.6.

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This paper is concerned with the estimation of the direction and distance of sound sources with the MUSIC beamforming algorithm, and their tracking with the help of Kalman filter. Direction-of-arrival (DOA) estimations can be performed using a combination of acoustical focusing and beamforming. Distance estimation is usually not part of the process, but it is possible through an extension of the beamforming algorithm. MUSIC (Multiple Signal Classification) is a relatively fast and simple method to locate sound sources. It is based on the separation of the received signals’ cross-spectral matri

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Tabacu, Stefan, and Dragos Popa. "Backward-Facing Analysis for the Preliminary Estimation of the Vehicle Fuel Consumption." Sustainability 15, no. 6 (2023): 5344. http://dx.doi.org/10.3390/su15065344.

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In this paper, a methodology for the estimation of fuel consumption using backward-facing analysis is presented. The method for the determination of fuel consumption was based on the evaluation of the total work required to drive the vehicle along a specific drive cycle. At the same time, the potential fuel economy was estimated using the energy that can be harvested from the wheel. The results obtained using this model were compared with complex MATLAB/Simulink models developed using the forward-facing strategy. The MATLAB Simulink model details conventional and hybrid vehicle models capable

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Jenkinson, George, Muhammad Ali Babar Abbasi, Amir Masoud Molaei, Okan Yurduseven, and Vincent Fusco. "Deep Learning-Enabled Improved Direction-of-Arrival Estimation Technique." Electronics 12, no. 16 (2023): 3505. http://dx.doi.org/10.3390/electronics12163505.

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This paper provides a simple yet effective approach to improve direction-of-arrival (DOA) estimation performance in extreme signal-to-noise-ratio (SNR) conditions. As an example, a multiple signal classification (MUSIC) algorithm with a deep learning (DL) approach is used. First, brief research into the existing DOA estimation techniques is provided, followed by a demonstration of a simulation environment created on the MATLAB platform to generate and resolve signals from a uniform rectangular array of antenna elements. Following that is an attempt to improve the estimation accuracy of these s

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Liu, Yang, Jing He, and Hui Zhi Zou. "An Emulation of Carrier Acquisition Algorithm Based on FFT Frequency Guide." Applied Mechanics and Materials 444-445 (October 2013): 1407–11. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1407.

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Beginning with an introduction of algorithm principle for Baseband Equipment to implement carrier acquisition in digital field, costas loop of acquisition and tracking, PSD estimation of FFT frequency guide are developed. Then the quality of classical PSD estimation and Modern PSD estimation has been analyzed and compared especially by Matlab simulation.

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Ivakhno, Volodymyr, Volodymyr V. Zamaruiev, and Olga Ilina. "Estimation of Semiconductor Switching Losses under Hard Switching using Matlab/Simulink Subsystem." Electrical, Control and Communication Engineering 2, no. 1 (2013): 20–26. http://dx.doi.org/10.2478/ecce-2013-0003.

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AbstractThe conventional tools for the system level simulation of the switch-mode power converters (for example, MATLAB/SIMILINK) allow simulating the behavior of a power converter jointly operating with the control system in a closed automatic regulation system. This simulation tools either represent semiconductor devices as ideal switches or implement the simplest models based on volt-ampere characteristics of standard types of semiconductor devices for conducting loss estimation. This fact makes direct calculation of dynamic power losses in the semiconductor devices impossible. The MATLAB/S

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Wei, Cheng Dong, Fu Wang, and Huan Qi Wei. "Bayesian Estimate of Exponential Parameter with Missing Data." Applied Mechanics and Materials 321-324 (June 2013): 904–8. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.904.

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We discuss the empirical Bayesian estimation and the noninformative prior Bayesian estimation of Exponential parameter in the missing data occasion. By setting different prior distributions, we get different bayesian risks and compare the numerical simulation results through the MATLAB programming.

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SUTCU, EVIN. "Estimation of Welded Manufacturing Operation Times with Matlab Artificial Neural Networks." Gazi Journal of Engineering Sciences 4, no. 1 (2018): 16–26. http://dx.doi.org/10.30855/gmbd.2018.04.01.003.

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Zhao, Xin, Qian Sun, Yan Hong Huang Fu, and Chao Ran Li. "Analysis of Consumption of Rural Residents in Jilin Province Based on Hidden Markov Model." Advanced Materials Research 971-973 (June 2014): 2281–84. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.2281.

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Analysis status consumption of residents according to the statistical data in the recently twenty years of rural residents in Jilin province the Engel Coefficient.Select the sample interval properly based on hidden markov model,modeled using MATLAB and estimate the transition probability between states using probability estimation function of MATLAB’s hidden markov model toolbox, contact probability estimation in Markov model toolbox function, and predicting the Engel Coefficients of rural residents in the province for the next ten years (2013-2022). Studies have shown that, using the hidden M

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Habeeb, Ali Salman. "Estimating the Parameters of the Odd Lomax Exponential Distribution." Statistics, Optimization & Information Computing 13, no. 2 (2024): 694–715. https://doi.org/10.19139/soic-2310-5070-2121.

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In this study, we introduce two methods for estimation of the unknown parameters of the Odd Lomax Exponential $(OLE)$ distribution are Least Squares Estimation $(LSE)$ and Maximum Likelihood Estimation $(MLE)$. Some statistical functions and mathematical properties were derived for which investigated from distribution’s flexibility . Through Monte Carlo simulations we investigated the performance of the estimate for these parameters, and us comparison these estimations in terms of bias and mean squared error $(MSE)$ for various sample sizes and four different scenarios of initial parameter val

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