System identification : parameter and state estimation / by Eykhoff, Pieter, 1929-

Laplacian Operator as Speaker Identification Parameter by S. K. Jamil

Subjects: “…Speaker Identification Parameter…”
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Wooden Beams Modal Damage Identification Parameters Based on Strain by Yu Cao, Zhaobo Meng, Feifei Gao, Liwei Zhang, Xiancai Ren, Huanzhi Jiang, Rong Hu

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Analysis of Pseudo-Random Sequence Correlation Identification Parameters and Anti-Noise Performance by Xijin Song, Xuelong Wang, Zhao Dong, Xiaojiao Zhao, Xudong Feng

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Off-line measuring sampling data identification parameters for digital twins mirroring load modelling and stability analysis by Javier Urquizo, Nathalie Ramirez, Dietmar Sanchez, Juan Plazarte

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Estimation of Synchronous Machine Parameters by Stand Still Frequency Responses Testing by Farid Leguebedj, Djamel Boukhetala

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Recursive identification and parameter estimation / by 575513 Chen, Hanfu, Zhao, Wenxiao, author

“…"This book describes the recursive approach to solving problems from system identification, parameter estimation, adaptive control problems, and more. …”

Privacy-Enhancing Security Protocol in LTE Initial Attack by Uijin Jang, Hyungmin Lim, Hyungjoo Kim

“…Such vulnerability does not end in a mere identification parameter, but can lead to a secondary attack using the identification parameter, such as replication of the smartphone, illegal use of the mobile communication network, etc. …”
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ARIMA-GARCH Model Price Forecasting in PT. Unilever Indonesia Tbk by Amanda Defita Pramesti, Wellie Sulistijanti

“…This is followed by model identification, parameter estimation, and diagnostic checking. …”
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Product and process modelling : a case study approach / by 323846 Cameron, I. T., Cameron, I. T., Gani, R., (Rafiqul)

Time series behaviour of the number of Air Asia passengers: a distributional approach by Asrah, N. M., Djauhari, M. A.

“…However, if we know the distributional behavior of time series, the analyses in model identification, parameter estimation, and model checking are more straightforward. …”

Opportunities for modelling inflation processes in Lithuania by Ana Čuvak, Žilvinas Kalinauskas

“…Theoretical aspects of model estimation are reviewed: time series stationarity, model identification, parameter estimation, model usage and forecasts. …”
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Time series forecasting of the number of Malaysia Airlines and AirAsia passengers by Asrah, N. M., Nor, M. E., Rahim, S. N. A., Leng, W. K.

“…If we know the distributional behaviour of the time series data, it can help us to directly analyse the model identification, parameter estimation, and model checking. In this paper, we want to compare the distributional behaviour data from the number of Malaysia Airlines (MAS) and AirAsia passenger’s. …”
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GSTARI-X-ARCH Model with Data Mining Approach for Forecasting Climate in West Java by Putri Monika, Budi Nurani Ruchjana, Atje Setiawan Abdullah

“…Then, the data mining process with the GSTARI-X-ARCH model follows the Box–Jenkins procedure: model identification, parameter estimation, and diagnostic checking. …”
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Phased Fractional Lower-Order Cyclic Moment Processed in Compressive Signal Processing by Tao Liu, Tianshuang Qiu, Fangxiao Jin, Stephanie Wilcox, Shengyang Luan

“…Using this technical foundation, a complete procedure is novelly proposed to rebuild phased fractional lower-order cyclic moment spectrum (PFLOCMS), which functions as a crucial factor in signal detection, system identification, parameter estimation, and other applications. …”
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Forecasting Inflation in Egypt (2019-2022) by using AutoRegressive Integrated Moving Average (ARIMA) Models by Mohamed A. Omar, Sara. E. Shahin, Magdy Roshdy

“…The Box–Jenkins methodology for analyzing and modeling time series is characterized by four steps: model identification, parameter estimation, diagnostic checking and forecasting. …”
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A comparative study on box-jenkins and garch models in forecasting crude oil prices by Yaziz, S. R., Ahmad, Maizah Hura, Lee, Chee Nian, Muhammad, Noryanti

“…ARIMA(1,2,1) and GARCH(1,1) are found to be the appropriate models under model identification, parameter estimation, diagnostic checking and forecasting future prices. …”

A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models by Henry Miniguano, Andrés Barrado, Cristina Fernández, Pablo Zumel, Antonio Lázaro

“…This paper shows a comparison of the six commonly used supercapacitor models, as well as a general and straightforward identification parameter procedure based on Simulink or Simscape and the Optimization Toolbox of Matlab^®. …”
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Prospects for improving evaluation of live tularemia vaccine quality by I. V. Kasina, S. A. Alekseeva, Z. E. Berdnikova, T. I. Nemirovskaya, A. S. Alekhina

“…The authors investigated the possibility of improving evaluation of tularemia vaccine quality as regards the «Identification» parameter by using a commercial diagnostic test kit - immunochromatographic test system for express detection and identification of tularemia agent («F. tularensis ICA test system»). …”
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Effects of muscle strength in different parts of adolescent standing long jump on distance based on surface electromyography by Yifei Wang, Delong Dong

“…Objective: To reveal the influence of muscle strength in different parts of the body on the distance of standing jump, to establish the key force phases of muscle strength in different parts, and to improve the recognition of movement norms.Methods: VICON infrared three-dimensional motion capture acquisition and analysis system and Noraxon Ultium surface electromyography acquisition and analysis system were used to complete the surface electromyography signal acquisition of 18 randomly selected subjects performing standing long jump.Results: 1) Triceps brachii, anterior deltoid, latissimus dorsi, semitendinosus, rectus femoris, upper trapezius, pectoralis major, and biceps femoris had significant effects on standing jump distance. 2) From the point of view of the key exertion phase of the standing jump mainly affecting the muscle group; the main exertion phase of the semitendinosus occurs from the rising stage to the descending stage; the rectus femoris, triceps, and latissimus dorsi occur during the ascending phase of the flight; the anterior deltoid muscle occurs in the transition stage from rising to falling in the air; the trapezius muscle occurs in the transition stage from pre-swing to kick-off.Conclusion: 1) From the regression analysis of the measured muscles on the distance of each stage of standing long jump, deltoid muscle strength is conducive to the improvement of standing long jump distance, which further indicates the importance of upper limb deltoid muscle strength. 2) Through time series analysis, it is found that the force performance of the rectus femoris muscle at this stage can be used as the main identification parameter of standing long jump, and can effectively distinguish different types of movements.…”
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