• Title/Summary/Keyword: Reference Input Signal

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Time Reversa1 Reconstruction of Ultrasonic Waves in Anisotropic Media

  • Jeong, Hyun-Jo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.28 no.1
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    • pp.54-58
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    • 2008
  • Time reversal (TR) of body waves in fluids and isotropic solids has been used in many applications including ultrasonic NDE. However, the study of the TR method for anisotropic materials is not well established. In this paper, the full reconstruction of the input signal is investigated for anisotropic media using an analytical formulation, called a modular Gaussian beam (MGB) model. The time reversal operation of this model in the frequency domain is done by taking the complex conjugate of the Gaussian amplitude and phase received at the TR mirror position. A narrowband reference signal having a particular frequency and number of cycles is then multiplied and the whole signal is inverse Fourier transformed. The original input signal is seen to be fully restored by the TR process of MGB model and this model can be more generalized to simulate the spatial and temporal focusing effects due to TR process in anisotropic materials.

A Novel Single Phase Synchronous Reference Frame Phase-Locked Loop with a Constant Zero Orthogonal Component

  • Li, Ming;Wang, Yue;Fang, Xiong;Gao, Yuan;Wang, Zhaoan
    • Journal of Power Electronics
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    • v.14 no.6
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    • pp.1334-1344
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    • 2014
  • A novel single phase Phase-Locked Loop (PLL) is proposed in this paper to accurately and rapidly estimate the instantaneous phase angle of a grid. A conjugate rotating vector pair is proposed and defined to synthesize the single phase signal in the stationary reference frame. With this concept, the proposed PLL innovatively sets one phase input of the PARK transformation to a constant zero. By means of a proper cancellation, a zero steady state phase angle estimation error can be achieved, even under magnitude and frequency variations. The proposed PLL structure is presented together with guidelines for parameters adjustment. The performance of the proposed PLL is verified by comprehensive experiments. Satisfactory phase angle estimation can be achieved within one input signal cycle, and the estimation error can be totally eliminated in four input cycles for the most severe conditions.

A Signal Process Circuit for ISFET Biosensor and A Desitgn for Their One-Chip Integration (ISFET 바이오센서에의 적용을 위한 신호처리회로의 개발과 그들의 단일칩 집적설계)

  • Hwa Il Seo;Won Hyeong Lee;Soo Won Kim
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.28A no.1
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    • pp.46-51
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    • 1991
  • The new signal process circuit using ISFETs as two input devices of a MOS differential amplifier stage for application to a ISFET biosensor was developed and its operational characteristics simulated. For a single chip integration of ISFETs, developed signal process circuit and metal reference electrode, serial studies including process development and chip layout was carried out.

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On-chip Magnetic Sensor with Embedded High Inductance Coil for Bio-magnetic Signal Measurement (생체자기 신호측정을 위한 고인덕턴스 코일 내장형 온칩 자기센서)

  • Lyu, HyunJune;Choi, Jun Rim
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.91-98
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    • 2013
  • Magnetic sensor chip for measuring bio-magnetism is implemented in $0.18{\mu}m$ CMOS technology. The magnetic sensor chip consists of a small-sized high inductance coil sensor and an instrumentation amplifier (IA). High inductance coil sensor with suitable sensitivity and bandwidth for measurement of bio-magnetic signal is designed using electromagnetic field simulation. Low gm operational transconductance amplifier (OTA) using transconductance reduction techniques is designed for on-chip solution. Output signal sensitivity of magnetic sensor chip is $3.25fT/{\mu}V$ and reference noise of 21.1fT/${\surd}$Hz. Proposed IA is designed along with band pass filters(BPF) to reduce magnetic signal noise by using current feedback techniques. Proposed IA achieves a common mode rejection ratio of 117.5dB while the input noise referred is kept below $0.87{\mu}V$.

Adaptive Noise Canceller by Weight Updating Control Method for Speech Enhancement (음성향상을 위한 가중치 갱신제어방식의 적응소음제거기)

  • Kim, Gyu-Dong;Lee, Yun-Jung;Kim, Pil-Un;Chang, Yong-Min;Cho, Jin-Ho;Kim, Myoung-Nam
    • Journal of Korea Multimedia Society
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    • v.10 no.8
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    • pp.1004-1016
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    • 2007
  • In this paper we proposed a Weight-Update-Control Adaptive Noise Canceller which improves speech when environmental noise is stationary and it is hard to acquire a reference signal. Adaptive Noise Canceller(ANC) needs a reference signal, but it is not easy to measure pure noise without voice for reference in factory. Because there are mixed various mechanical noise and workers' voice. Therefore ANC is not suitable to reduce background noise. So we proposed the method that uses an arbitrary constant as an input signal and inputs microphone signal to the reference signal. The noise is eliminated using updated weights in non-speech range. In speech range the weight is fixed and the modified voice is acquired then voice is restored through transversal filter. The proposed method is based on facts that the factory noise is stationary and the noise is not changed in short conversation range. As a result of simulation using MATLAB, we confirmed that the proposed method is effective for reducing factory noise and has high signal to noise ratio(SNR).

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The Designs of the Digital Minimum-Time Controller and the Digital Adaptive Controller Using Refererce Model (기준 모델을 이용한 디지털 최소-시간 제어기 및 디지털 적응 제어기의 설계)

  • 김종환;최계근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.2
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    • pp.31-35
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    • 1985
  • This paper presents novel designs of a digital minimum-time controller and a digital adaptive controller using reference no del for single input-single out put linear time-invariant plants with known parameters. The proposed digital minimum-time controller which has a deadbeat response is designed to make the transfer function of this controller equal to that of reference model, and the proposed digital adaptive controller is designed by applying the adaptation method to the proposed digital minimum-time controller. The designs of these two controllers are very simple and easy, and all types of input signal with any reference models are controllable. These dffectivenesses have been demon-strated by computer simulations carried out for a third-order plant.

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An Improvement of Convergence Rate for Direct Model Reference Adaptive Control Systems (직접 모델 규범형 적용 제어계에 대한 수렴 속도 개선)

  • 김도현;최계근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.20 no.1
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    • pp.37-44
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    • 1983
  • A class of adaptive control algorithms applied to discrete-time single-input single-output deterministic linear systems is analyzed by using direct model reference adaptive control. Controller parameters are identified with weighted least square Method. And computer simulations reveal that proposed weighted least square method in which the value of depends on the identification error can be used regardless of the sufficient condition of reference input signal.

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Design of digital DBNN for pattern recoginition (패턴인식을 위한 디지탈 DBNN의 설계)

  • 송창영;문성룡;김환용
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.11
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    • pp.3001-3011
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    • 1996
  • In this paper, using DBNN algorithm which is used in the binary pattern classification or speech signal processing the digital DBNN circuit is designed having the variable expansion depending the size of input data and pattern type. The processing elemen(PE) of the proposed network consists of the synapse and MAXNET circuits for the similarity measurement between reference and input pattern. Global MAXNET selects the global winner among the local winners which is selected in each PE. Through the several simultions, and thus each PE and global MAXNET search the reference pattern that was the most simlar to input pattern for the discord of the pattern.

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A Direct Adaptive Fuzzy Control of Nonlinear Systems with Application to Robot Manipulator Tracking Control

  • Cho, Young-Wan;Seo, Ki-Sung;Lee, Hee-Jin
    • International Journal of Control, Automation, and Systems
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    • v.5 no.6
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    • pp.630-642
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    • 2007
  • In this paper, we propose a direct model reference adaptive fuzzy control (MRAFC) for MIMO nonlinear systems whose structure is represented by the Takagi-Sugeno fuzzy model. The adaptive law of the MRAFC estimates the approximation error of the fuzzy logic system so that it provides asymptotic tracking of the reference signal for the systems with uncertain or slowly time-varying parameters. The developed control law and adaptive law guarantee the boundedness of all signals in the closed-loop system. In addition, the plant state tracks the state of the reference model asymptotically with time for any bounded reference input signal. To verify the validity and effectiveness of the MRAFC scheme, the suggested analysis and design techniques are applied to the tracking control of robot manipulator and simulation studies are carried out. In the control design, the MRAFC is combined with feedforward PD control to make the actual joint trajectories of the robot manipulator with system uncertainties track the desired reference joint position trajectories asymptotically stably.

Design of Temperature Stable FLL Circuit

  • Choi, Jin-Ho
    • Journal of information and communication convergence engineering
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    • v.8 no.2
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    • pp.197-200
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    • 2010
  • The FLL(frequency locked loop) circuit is used to generate an output signal that tracks an input reference signal. The locking time of FLL is short compared to PLL(phase locked loop) circuit because the output signal of FLL is synchronized only in frequency. Also the FLL is designed to allow the circuit to be fully integrated. In this paper, the temperature stable FLL circuit is designed by using full CMOS transistors. When the temperature is varied from $-20^{\circ}C$ to $70^{\circ}C$, the variation of output frequency is about from -2% to 1.6% from HSPICE simulation results.