• Title/Summary/Keyword: low frequency signal

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An Estimation method for Characteristic Parameters in a Low Frequency Signal Transformed by High Frequency Signals (고주파 신호에 의하여 변형된 저주파신호에서의 특성변수 추정 기법)

  • Yoo, Kyung-Yul
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.2
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    • pp.86-88
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    • 2002
  • An estimation method for the characteristic parameters in the low frequency signal is proposed in this paper. A low frequency signal is assumed to be modulated or distorted by high frequency terms. The algorithm proposed in this paper is designed to select set of local maximums in a successive manner, hence it is denoted as the iterative peak picking(IPP) algorithm. The IPP algorithm is operating in the time domain and is using only the comparison operation between two neighboring samples. Therefore, its computational complexity is very low and the delay caused by the computation is negligible, which make the real-time operation possible with economic hardware. The proposed algorithm is verified on the pitch estimation of speech signal and blood pulse estimation.

Power Spectrum Estimation on the Signals with Low Frequency (저주파진동 해석을 위한 데이터처리기법 연구)

  • 천영수;조남규;이리형
    • Computational Structural Engineering
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    • v.10 no.4
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    • pp.185-193
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    • 1997
  • A major problem of frequency analysis in the field of low-frequencies such as building or construction vibration is the way of signal processing which is appropriate to obtain included frequency content from the finite process to be measured. Therefore, it is the aim of the investigation reported herein to develop the signal processing algorithm which is analyzed without losing the reliability of the measurements in low-frequency domain. To accomplish the research objective, it was analyzed the problems on the way of signal processing in low-frequency domain, and compared the response characteristics of FFT with those of MEM (Maximum Entropy Method) about the low-frequency of vibration. This evaluation of the response characteristics is used in determining appropriate signal processing algorithm into the low-frequency domain.

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Wavelet Packet Adaptive Noise Canceller with NLMS-SUM Method Combined Algorithm (MLMS-SUM Method LMS 결합 알고리듬을 적용한 웨이브렛 패킷 적응잡음제거기)

  • 정의정;홍재근
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.1183-1186
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    • 1998
  • Adaptive nois canceller can extract the noiseremoved spech in noisy speech signal by adapting the filter-coefficients to the background noise environment. A kind of LMS algorithm is one of the most popular adaptive algorithm for noise cancellation due to low complexity, good numerical property and the merit of easy implementation. However there is the matter of increasing misadjustment at voiced speech signal. Therefore the demanded speech signal may be extracted. In this paper, we propose a fast and noise robust wavelet packet adaptive noise canceller with NLMS-SUM method LMS combined algorithm. That is, we decompose the frequency of noisy speech signal at the base of the proposed analysis tree structure. NLMS algorithm in low frequency band can efficiently dliminate the effect of the low frequency noise and SUM method LMS algorithm at each high frequency band can remove the high frequency nosie. The proposed wavelet packet adaptive noise canceller is enhanced the more in SNR and according to Itakura-Satio(IS) distance, it is closer to the clean speech signal than any other previous adaptive noise canceller.

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Improving Low Frequency Signal Reproduction in TV Audio (TV 스피커의 저주파수 신호 재생 개선)

  • Arora Manish;Oh Yoonhark;Kim SeoungHun;Lee Hyuckjae;Jang Seongcheol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.275-278
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    • 2004
  • In TV sound system, loudspeakers are subject to severe size constraints. The small size of the transducer affects the low frequency signal performance of the system. Bass signal performance contributes significantly to the user perceived sound quality and a good bass signal reproduction is essential. Increasing the sound energy in the bass signal range is an unviable solution since the gain required are exceedingly high and signal distortion occurs because of the speaker overload. Recently methods are being proposed to invoke low frequency illusion using psychoacoustic phenomena of the missing fundamental. This paper proposes a simple and effective signal processing method to create bass signal illusion in TV speakers using the missing fundamental effect, at a complexity of 12 MIPS on Motorola 56371 audio DSP.

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A Study on the Frequency Response Signals of a Servo Valve (서보밸브의 주파수 응답 신호에 관한 연구)

  • Yun, Hongsik;Kim, SungDong
    • Journal of Drive and Control
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    • v.18 no.1
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    • pp.17-23
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    • 2021
  • The flow signal or spool position signal is used to determine the dynamic characteristics of directional control valves. Alternatively, the signal of spool position or flow can be replaced with the velocity of a low friction, low inertia actuator. In this study, the frequency response of the servo valve equipped with a spool position transducer is measured with a metering cylinder. The input signal, spool displacement, load pressure, and velocity of the metering cylinder are measured, and the theoretical results from the transfer function analysis are verified. The superposition rule for magnitude ratio and phase angle was found to be always applicable among any signal type, and it was found that the load pressure signal is not appropriate for use as the signal for measuring the frequency response of a servo valve. It was confirmed that the frequency response of a servo valve using metering cylinder was similar to the results from a spool displacement signal. The metering cylinder used for measuring the frequency response of a servo valve should be designed to have sufficiently greater bandwidth frequency than the bandwidth frequency of the servo valve.

Frequency analysis of GPS data for structural health monitoring observations

  • Pehlivan, Huseyin
    • Structural Engineering and Mechanics
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    • v.66 no.2
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    • pp.185-193
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    • 2018
  • In this study, low- and high-frequency structure behaviors were identified and a systematic analysis procedure was proposed using noisy GPS data from a 165-m-high tower in ${\dot{I}}stanbul$, Turkey. The raw GPS data contained long- and short-periodic position changes and noisy signals at different frequencies. To extract the significant results from this complex dataset, the general structure and components of the GPS signal were modeled and analyzed in the time and frequency domains. Uncontrolled jumps and deviations involving the signal in the time domain were pre-filtered. Then, the signal was converted to the frequency domain after applying low- and high-pass filters, and the frequency and periodic component values were calculated. The spectrum of the tower motion obtained from the filtered GPS data had dominant peaks at a low frequency of $1.15572{\times}10-4Hz$ and a high frequency of 0.16624 Hz, consistent with two equivalent GPS datasets. Then, the signal was reconstructed using inverse Fourier transform with the dominant low frequency values to obtain filtered and interpretable clean signals. With the proposed sequence, processing of noisy data collected from the GPS receivers mounted very close to the structure is effective in revealing the basic behaviors and features of buildings.

Development of a Gas Sensor System with Built-in Low-power Signal Extraction Technique (저전력 신호 추출 기법이 내장된 가스 센서 시스템 개발)

  • Jang-Su Hyeon;Hyeon-June Kim
    • Journal of Sensor Science and Technology
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    • v.32 no.2
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    • pp.105-109
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    • 2023
  • In this study, we present a power-efficient driving method for gas sensor systems based on the analysis of input signal characteristics. The analysis of the gas sensor output signal characteristics in the frequency domain shows that most of the signal portions are distributed in a relatively low frequency region when extracting the gas sensor signal, which can lead to further performance improvement of the gas sensor system. Therefore, the proposed gas signal extracting technique changes the operating frequency of the read-out circuit based on the frequency characteristics of the output signal of the gas sensor, resulting in a reduction of power consumption at the whole system level. The proposed sensing technique, which can be applied to a general-purpose commercial gas sensor system, was implemented in a printed circuit board (PCB) to verify its effectiveness at the commercial level.

A Study on the Signal Transmissibility of High Frequency Crash Pulse according to the Car Structure Difference (차체 구조 차이에 따른 충돌 고주파 신호 전달성 연구)

  • Park, Dongkyou
    • Transactions of the Korean Society of Automotive Engineers
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    • v.21 no.6
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    • pp.8-15
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    • 2013
  • Wide range frequency pulses occur in a car crash test. Until now, low frequency under 400Hz has been used to determine an airbag deployment criteria. Also, FIS (Front Impact Sensor) has been used to detect the crash pulse in early stage. Nowadays, technology to determine an airbag delpoyment criteria by using a high frequency crash pulse without FIS is being focused on. In this paper, the signal transmissibility of high frequency pulse for two different cars was studied. Also, signal transfer test of high frequency pulse was done by using a high speed ball impact. Signal runtime of the frontal impact is compared with that of the side impact. The signal transmissibility difference due to the car structure difference was discussed and structure change for improving the signal transmissibility was proposed.

Optimization of a Radio-frequency Atomic Magnetometer Toward Very Low Frequency Signal Reception

  • Lee, Hyun Joon;Yu, Ye Jin;Kim, Jang-Yeol;Lee, Jaewoo;Moon, Han Seb;Cho, In-Kui
    • Current Optics and Photonics
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    • v.5 no.3
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    • pp.213-219
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    • 2021
  • We describe a single-channel rubidium (Rb) radio-frequency atomic magnetometer (RFAM) as a receiver that takes magnetic signal resonating with Zeeman splitting of the ground state of Rb. We optimize the performance of the RFAM by recording the response signal and signal-to-noise ratio (SNR) in various parameters and obtain a noise level of 159 $fT{\sqrt{Hz}}$ around 30 kHz. When a resonant radiofrequency magnetic field with a peak amplitude of 8.0 nT is applied, the bandwidth and signal-to-noise ratio are about 650 Hz and 88 dB, respectively. It is a good agreement that RFAM using alkali atoms is suitable for receiving signals in the very low frequency (VLF) carrier band, ranging from 3 kHz to 30 kHz. This study shows the new capabilities of the RFAM in communications applications based on magnetic signals with the VLF carrier band. Such communication can be expected to expand the communication space by overcoming obstacles through the high magnetic sensitive RFAM.

A Low Power Multi Level Oscillator Fabricated in $0.35{\mu}m$ Standard CMOS Process ($0.35{\mu}m$ 표준 CMOS 공정에서 제작된 저전력 다중 발진기)

  • Chai Yong-Yoong;Yoon Kwang-Yeol
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.55 no.8
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    • pp.399-403
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    • 2006
  • An accurate constant output voltage provided by the analog memory cell may be used by the low power oscillator to generate an accurate low frequency output signal. This accurate low frequency output signal may be used to maintain long-term timing accuracy in host devices during sleep modes of operation when an external crystal is not available to provide a clock signal. Further, incorporation of the analog memory cell in the low power oscillator is fully implementable in a 0.35um Samsung standard CMOS process. Therefore, the analog memory cell incorporated into the low power oscillator avoids the previous problems in a oscillator by providing a temperature-stable, low power consumption, size-efficient method for generating an accurate reference clock signal that can be used to support long sleep mode operation.