• Title/Summary/Keyword: high frequency signal

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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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Frequency Hopping Signal Analysis Using High-Speed Parallel Processing (고속 병렬처리 기법을 활용한 주파수 도약 신호 분석)

  • Lee, Kwang-Yong;Yoon, Hyun-Chul;Lee, Hyeon-Hwi
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.25 no.2
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    • pp.251-254
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    • 2014
  • In this paper, we studied a technique of extracting a Frequency Hopping(FH) signal for analysis using high-speed parallel processing structure. Unlike fixed frequency signal, FH signal is difficult to detect and analyze because FH systems use many random frequencies instead of a single carrier frequency. To solve this problem we designed a method that analyze FH signal using high-speed parallel processing. In order to apply parallel processing, we use CUDA using GPU and compare single processing with prarallel processing. As a result, using CUDA on a GPU is about 8.53 times faster than single processing.

Implementation of low-noise, wideband ultrasound receiver for high-frequency ultrasound imaging (고주파수 초음파 영상을 위한 저잡음·광대역 수신 시스템 구현)

  • Moon, Ju-Young;Lee, Junsu;Chang, Jin Ho
    • The Journal of the Acoustical Society of Korea
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    • v.36 no.4
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    • pp.238-246
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    • 2017
  • High frequency ultrasound imaging typically suffers from low sensitivity due to the small aperture of high frequency transducers and shallow imaging depth due to the frequency-dependent attenuation of ultrasound. These limitations should be overcome to obtain high-frequency, high- resolution ultrasound images. One practical solution to the problems is a high-performance signal receiver capable of detecting a very small signal and amplifying the signal with minimal electronic noise addition. This paper reports a recently developed low-noise, wideband ultrasound receiver for high-frequency, high-resolution ultrasound imaging. The developed receiver has an amplification gain of up to 73 dB and a variable amplification gain range of 48 dB over an operating frequency of 80 MHz. Also, it has an amplification gain flatness of ${\pm}1dB$. Due to these high performances, the developed receiver has a signal-to-noise ratio of at least 8.4 dB and a contrast-to-noise ratio of at least 3.7 dB higher than commercial receivers.

Reflective Signal Based Signal Contioning of Capacitive Sensor and High Precision Gap Measurement (반사 신호를 이용한 용량 성 센서의 신호처리 및 이를 이용한 초정밀 간극 측정)

  • Kim, Jae-Geun;Lee, Taek-Joo;Lim, Soo-Cheol;Park, Kyoung-Soo;Park, No-Cheol;Park, Young-Pil;Ohm, Won-Suk
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.10a
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    • pp.537-537
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    • 2010
  • High precision sensing is very important in various technologies. Especially, it is more important when it were applied to nano/micro meter level's sensing like AFM, storage, etc. And capacitive sensing is widely used method. To improve the measurement efficiency, many signal conditioners were studied and one of them was surface acoustic wave (SAW) device. SAW device is very widely used as a high frequency bandwidth filter. Due to the reflective characteristic of high frequency, the response of SAW device contains both propagative and reflective signal at the external impedance. In this paper, we used SAW device as signal conditioner of capacitive sensor. And high precision gap measurement was executed using capacitive load. Reference signal was reflective SAW response and the magnitude at the center frequency of SAW device by the change of impedance was checked. Finally, the attainable gap resolution was determined.

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Simultaneous Measurement of Strain and High Frequency Vibration of Composite Main Wing Model (복합재 주 날개 모델의 변형률과 진동의 동시 측정)

  • Song, Ji-Yong;Yoon, Hyuk-Jin;Park, Sang-Wuk;Park, Sang-Oh;Kim, Chon-Gon
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2005.11a
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    • pp.185-189
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    • 2005
  • For the simultaneous measurement of strain and vibration signal, a fiber Bragg grating sensor system with a dual demodulator was proposed. One demodulator using a tunable Fabry-Perot filter could measure low-frequency signal such as strain and the other demodulator using a coarse wavelength division multiplexer could detect high-frequency signal such as vibration signal using intensity demodulation method. In order to measure strain and vibration of the composite main wing model under static loading a real time monitoring program was developed. Also using intensity demodulation of CWDM, sensitivity and resolution at high frequency vibration were evaluated.

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Small-Signal Analysis of a Differential Two-Stage Folded-Cascode CMOS Op Amp

  • Yu, Sang Dae
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.6
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    • pp.768-776
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    • 2014
  • Using a simplified high-frequency small-signal equivalent circuit model for BSIM3 MOSFET, the fully differential two-stage folded-cascode CMOS operational amplifier is analyzed to obtain its small-signal voltage transfer function. As a result, the expressions for dc gain, five zero frequencies, five pole frequencies, unity-gain frequency, and phase margin are derived for op amp design using design equations. Then the analysis result is verified through the comparison with Spice simulations of both a high speed op amp and a low power op amp designed for the $0.13{\mu}m$ CMOS process.

A High Frequency Op-amp for High Speed Signal Processing (고속신호처리를 위한 고주파용 Op-Amp 설계)

  • 신건순
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.1
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    • pp.25-29
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    • 2002
  • There is an increasing interest in high-speed signal processing in modern telecommunication and SC circuit, HDTV, ISDN. There are many methods of high-speed signal processing. This paper describes a design approach for the realization of high-frequency Op-amp in CMOS technology. A limiting factor in Op-amp based analog integrated circuits is the limited useful frequency range. this thesis will develop a CMOS op-amp architecture with improved gainband width product with this technique an op-amp will achieve up to 170MHz (CL=2pF) unity-gain frequency with a 1.2-micron design rule. This CMOS op-amp is particularly suitable for achieving wide and stable closed-loop band widths, such as required in high-frequency SC filters, high-speed analog circuits.

CMOS Switch-Current Square Base on Switch Current

  • Parnklang, Jirawath;Muenpan, Sombat;Kumwatchara, Kiatisak;Channarong, Sakonwan
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.318-318
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    • 2000
  • Current signal square based on switch current is presented in this article. This is the new technique that can design current signal square circuit by using switch-current memory cell, current square and sample and hold technique, which have been presented by the general switch-current. This principle which is present have the good electrical characteristics such as the low input impedance, high output impedance and high frequency response. The system can also operate in the audio frequency range to the high frequency current signal. The system application of this technique can be apply to the current signal multiplier by quarter square technique. The experimental results agree well with the theory as high accuracy and linearity.

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A Novel High Speed Frequency Sweeping Signal Generator in X-band Based on Tunable Optoelectronic Oscillator

  • Sun, Mingming;Chen, Han;Sun, Xiaohan
    • Current Optics and Photonics
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    • v.2 no.1
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    • pp.53-58
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    • 2018
  • A novel X-band high speed frequency sweep signal generator based on a tunable optoelectronic oscillator (OEO) incorporating a frequency-swept laser is presented and the theoretical fundamentals of the design are explained. A prototype of the generator with tuning range from 8.8552 GHz to 10.3992 GHz and a fine step about 8 MHz is achieved. The generated radiofrequency signal with a single sideband (SSB) phase noise lower than -100 dBc/Hz@10KHz is experimentally demonstrated within the whole tunable range, without any narrow RF band-pass filters in the loop. And the tuning speed of the frequency sweep signal generator can reach to over 1 GHz/s benefiting from applying a novel dispersion compensation modular instead of several tens of kilometers of optical fiber delay line in the system.

Analysis of Partial Discharge Signal Using Wavelet Transform (웨이브렛 변환을 이용한 부분방전 신호의 분석)

  • Lee, Hyun-Dong;Kim, Chung-Nyun;Park, Kwang-Seo;Lee, Kwang-Sik;Lee, Dong-In
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.49 no.11
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    • pp.616-621
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    • 2000
  • This paper deals with the multiresolution analysis of wavelet transform for partial discharge(PD). Test arrangement is based on the needle-plane electrode system and applied AC high voltage. The measured PD signal was decomposed into "approximations" and "details". The approximation are the high scale, low-frequency components of the PD signal. The details are the low-scale, high frequency components. The decomposition process are iterated to 3 level, with successive approximation being decomposed in turn, so that PD signal is broken down into many lower-resolution components. Through the procedure of signal wavelet transform, signal noise extraction and signal reconstruction, the signal is analyzed to determine the magnitude of PD.

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