• Title/Summary/Keyword: parameters estimation

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Multi-Pulse Amplitude and Location Estimation by Maximum-Likelihood Estimation in MPE-LPC Speech Synthesis (MPE-LPC음성합성에서 Maximum- Likelihood Estimation에 의한 Multi-Pulse의 크기와 위치 추정)

  • 이기용;최홍섭;안수길
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.9
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    • pp.1436-1443
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    • 1989
  • In this paper, we propose a maximum-likelihood estimation(MLE) method to obtain the location and the amplitude of the pulses in MPE( multi-pulse excitation)-LPC speech synthesis using multi-pulses as excitation source. This MLE method computes the value maximizing the likelihood function with respect to unknown parameters(amplitude and position of the pulses) for the observed data sequence. Thus in the case of overlapped pulses, the method is equivalent to Ozawa's crosscorrelation method, resulting in equal amount of computation and sound quality with the cross-correlation method. We show by computer simulation: the multi-pulses obtained by MLE method are(1) pseudo-periodic in pitch in the case of voicde sound, (2) the pulses are random for unvoiced sound, (3) the pulses change from random to periodic in the interval where the original speech signal changes from unvoiced to voiced. Short time power specta of original speech and syunthesized speech obtained by using multi-pulses as excitation source are quite similar to each other at the formants.

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Kalman Randomized Joint UKF Algorithm for Dual Estimation of States and Parameters in a Nonlinear System

  • Safarinejadian, Behrouz;Vafamand, Navid
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1212-1220
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    • 2015
  • This article presents a new nonlinear joint (state and parameter) estimation algorithm based on fusion of Kalman filter and randomized unscented Kalman filter (UKF), called Kalman randomized joint UKF (KR-JUKF). It is assumed that the measurement equation is linear. The KRJUKF is suitable for time varying and severe nonlinear dynamics and does not have any systematic error. Finally, joint-EKF, dual-EKF, joint-UKF and KR-JUKF are applied to a CSTR with cooling jacket, in which production of propylene glycol happens and performance of KR-JUKF is evaluated.

3D Human Face Segmentation using Curvature Estimation (Curvature Estimation을 이용한 3차원 사람얼굴 세그멘테이션)

  • Seongdong Kim;Seonga Chin;Moonwon Choo
    • Journal of Korea Multimedia Society
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    • v.6 no.6
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    • pp.985-990
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    • 2003
  • This paper presents the representation and its shape analysis of face by features based on surface curvature estimation and proposed rotation vector of the human face. Curvature-based surface features are well suited to use for experimenting the 3D human face segmentation. Human surfaces are exactly extracted and computed with parameters and rotated by using active surface mesh model. The estimated features were tested and segmented by reconstructing surfaces from the face surface and analytically computing Gaussian (K) and mean (H) curvatures without threshold.

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Simultaneous Estimation of the Speed and the Secondary Resistance under the Transient State of Induction Motor

  • Akatsu, Kan;Kawamura, Atsuo
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.298-303
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    • 1998
  • In the speed sensorless control of the induction motor, the machine parameters (especially the secondary resistance R2) have a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible in the slip frequency type vector control, because the secondary flux is constant. But the secondary flux is not always constant in the speed transient state. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed. This algorithm uses the least mean square algorithm and the adaptive algorithm, and it is possible to estimate the R2 exactly. This algorithm is verified by the digital simulations and the experiments.

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Algorithm for a Initial Pole Position Estimation of PMLSM (영구자석 선형동기전동기의 초기각 추정 알고리즘)

  • Lee Young-Ho;Choi Jong-Woo;Kim Heung-Geun
    • Proceedings of the KIPE Conference
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    • 2003.11a
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    • pp.104-108
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    • 2003
  • This paper explained algorithm for a initial pole position estimation of a permanent magnet linear synchronous motor(PMLSM). Generally this motor is considered initial pole position with a position sensor such as incremental encoder for the precise initial pole position estimation and high performance. But this is based on the principle that the initial pole position is accomplished by the PI controller using the maximum values of a position error generated by the new proposed two reference frames and also by using a rated force for input. the proposed algorithm does not utilize the general methods such as impedance ratio, EMF and using the magnetic saturation. In other words, this can be applied without respect to variety of the motor structure because of insensitivity to the motor parameters. In conclusion, simulation results are presented to confirm performance of initial pole position estimation method.

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Off-line Parameter Estimation of Induction Motor for Vector Control In Continuos Process Line

  • Kwon, Byung-Ki;Park, Ga-Woo;Shin, Won-Chang;Cho, Eung-Sang;Lee, Jin-Seop;Choi, Chang-Ho;Hyun, Dong-Seok
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.386-391
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    • 1998
  • Parameter estimation method of induction motor for vector control is presented in this paper. It can be easily implemented and applied to inverters in the industrial field, because it needs no additional hardware such as voltage sensors and measuring equipment. The proposed algorithm in this paper is so straightforward and practical that it can be easily implemented on the built-in controllers with little overhead. The proposed estimation algorithm has good accuracy and repeatability for parameters due to the sensitivity of estimation errors. This enables its total consuming time to be made shorter. Experimental results and applications in the industrial fields verify the validity and usefulness of the proposed method.

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Effect of Mutual Interference and Channel Estimation Error on Outage Performance of Reactive Relay Selection in Unlicensed Systems

  • Ho-Van, Khuong
    • Journal of Communications and Networks
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    • v.17 no.4
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    • pp.362-369
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    • 2015
  • This study addresses the effects of channel estimation error and mutual interference between licensed and unlicensed systems on outage performance of reactive relay selection in unlicensed systems over independent non-identical (i.n.i) Rayleigh fading channels and under both the maximum transmit power constraint and primary outage constraint. Toward this end, power allocation for unlicensed users is first recommended to satisfy both constraints and account for channel estimation error and mutual interference. Then, we derive an exact closed-form outage probability representation for unlicensed systems to quickly evaluate this effect in key operation parameters. Various results corroborate the derived expressions and provide useful insights into system performance.

New generalized inverse Weibull distribution for lifetime modeling

  • Khan, Muhammad Shuaib;King, Robert
    • Communications for Statistical Applications and Methods
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    • v.23 no.2
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    • pp.147-161
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    • 2016
  • This paper introduces the four parameter new generalized inverse Weibull distribution and investigates the potential usefulness of this model with application to reliability data from engineering studies. The new extended model has upside-down hazard rate function and provides an alternative to existing lifetime distributions. Various structural properties of the new distribution are derived that include explicit expressions for the moments, moment generating function, quantile function and the moments of order statistics. The estimation of model parameters are performed by the method of maximum likelihood and evaluate the performance of maximum likelihood estimation using simulation.

A study on the formability estimation of deep drawing process by using taguchi method (다구찌방법을 이용한 디프드로잉 공정의 가공성평가에 대한 연구)

  • Lee, B.C.;Moon, J.H.;Yang, D.Y.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.11
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    • pp.17-24
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    • 1997
  • Despite the increasing demands for improved product design, a limited number of works have been reported in the field of sheet metal forming. In the present study, introducing the Taguchi method, an otpimal and robust combination of parameters in found and a data base management system is utilized for knowledge acquisition. Analysis data, estimation rules of formability and graphical representation of the analysis have been employed for the dewigner's understanding and evaluation. The developed system is applied to a deep drawing process. Through the present study, it is shown that the developed systerm is useful for the design and the formability estimation of sheet metal forming processes.

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Estimation of Sparse Channels in Millimeter-Wave MU-MIMO Systems

  • Hu, Anzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.5
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    • pp.2102-2123
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    • 2016
  • This paper considers a channel estimation scheme for millimeter-wave multiuser multiple-input multiple-output systems. According to the proposed method, parts of the beams are selected and the channel parameters are estimated according to the sparsity of channels and the orthogonality of the beams. Since the beams for each channel become distinct and the signal power increases with the increased number of antennas, the proposed approach is able to achieve good estimation performance. As a result, the sum rate can be increased in comparison with traditional approaches, and channels can be estimated with fewer pilot symbols. Numerical results verify that the proposed approach outperforms traditional approaches in cases with large numbers of antennas.