• Title/Summary/Keyword: FFT필터

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Monitoring System of Severe Disability using Smart Phones and EEG Analysis Tools (스마트폰과 뇌파 분석 툴을 이용한 중증장애인 모니터링 시스템)

  • Oh, Se-Bin;Jang, Hyun-woo;Kim, Kwang-beak
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.66-68
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    • 2012
  • 본 논문에서는 자체 개발한 Java Platform 기반의 뇌파 분석 도구와 Android 기반의 Mobile 기기를 연계하여 중증 장애인의 상태 및 상황 등을 모니터링 할 수 있는 시스템을 제시한다. 제안된 시스템은 뇌파 측정기, 뇌파 분석 툴(PC Client) 그리고 Mobile 기기(Android)로 크게 3부분으로 구성된다. 뇌파 측정기로부터 수집된 원 주파수에서 저주파 대역의 잡음을 제거하기 위해 고주파 필터를 적용한 후, 적용된 데이터를 주파수 영역에서 분석하기 위해 FFT를 적용한다. FFT를 적용한 데이터를 Power Spectrum 분석 기법을 이용하여 Theta, Delta, Alpha, SMR, Beta 파형의 값을 추출하고, 14 채널의 뇌파 측정 위치에 따른 상관관계 분석기법을 통해 중증 장애인의 상태를 표현한다. 본 논문에서 제안한 방법으로 실험한 결과, 중증 장애인 모니터링 시스템에 효율적으로 적용되는 것을 확인하였다.

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Automatic Defect inspection of TFT-LCD Panels Using a Pre-Filter (프리필터를 이용한 TFT-LCD 패널의 자동 결함 검출)

  • Nam, Seung-Uk;Seo, Sung-Dea;Nam, Hyun-Do;Ahn, Dong-Jun
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1864-1865
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    • 2007
  • In this paper, we proposed pre-filter algorithms which using frequency domain analysis method, for the detections of defects in large-sized Thin Film Transistor-Liquid Crystal Display(TFT-LCD) panel surfaces. We performed frequency analysis with 1-D, 2-D FFT methods for extract periodic patterns of lattice structures in TFT-LCDs. To remove this patterns, band-stop filters were used for eliminating specific frequency components. In order to acquire only defected images, we used 2-D inverse FFT methods which can be reverts images that remains defects.

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Design of a new digital hearing aid based on a multi-band compensation technique (다중밴드 이득 보정기능을 갖는 디지털 청력보정회로 설계)

  • Choi Won-Chul;Lee Je-Hoon;Kim Young-Ju;Cho Kyoung-Rok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.41 no.1
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    • pp.41-54
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    • 2004
  • In this paper, we propose a new digital hearing aid circuit that compensates the impaired threshold level changing nonlinearly using a multi-band compensation technique. In the algorithm the hearing frequency range 8kHz is divided into 64 bands which is 125Hz resolution. Each band is controlled finely to compensate the hearing impaired proportional to personal ROM table. The multi-band is introduced using a FFT/IFFT Processor which makes to control in frequency domain. As a result, the proposed circuit is more efficient $15\%$ than a conventional ones such as FIR filter architecture in terms of the compensation gun and accuracy. The hardware size was reduced $65\%$ than a general FFT by pre-handling of the input data.

A Study on a Comb Filter Bank Circuit using B.B.D. (B.B.D.를 이용한 콤필터 뱅크회로에 관한 연구)

  • 이광형
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.7 no.4
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    • pp.156-160
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    • 1982
  • A Comb Filter(C.F.) is constucted with a N-stages one-dimensional B.B.D.(Bucket-Brigade Device) delay line. One channel of the B.P.F. (Band Pass Filter) Bank is experimented, which includes a R.F.(Recursie Filter) using S/H circuits cascaded to the C.F. This algorithm of the C.F.B.(Comb Filter Bank) becomes the parallel spectrum analyzer circuit. The algorithm has less number of multiplication than that of FFT and improves the SNR.

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Adaptive Noise Smoothing Algorithm Based on Nonstationary Correlation Assumption (영상의 비정적 상관관계 가정에 근거한 적응적 잡음제거 알고리즘)

  • 박성철;강문기
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2001.11b
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    • pp.129-133
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    • 2001
  • 영상에 포함된 잡음은 화질 및 영상의 압축효율을 저하시킨다. 최근 들어, 영상의 에지 성분을 효율적으로 고려하면서 잡음을 제거하기 위하여 다양한 비정적(nonstationary) 영상 모델에 근거한 잡음제거 알고리즘이 제안되어 왔다. 하지만, 기존의 비정적 영상모델에서는 연산량의 부담을 덜기 위하여 각 화소들 사이에 상관관계(correlation)가 없다는 가정을 하고 있어 영상의 미세한 정보들이 필터링에 의하여 훼손된다. 본 논문에서는 영상의 비정적 상관관계를 고려한 적응적 잡음제거 알고리즘을 제시한다. 영상신호는 비정적 평균을 가진다고 가정되며, 또한 각기 다른 정적(stationary) 상관관계를 가지는 부분 영상으로 분리된다고 가정된다. 제안된 영상 모델에서의 공분산(co-variance) 행렬의 특수한 구조를 이용하여 계산적으로 효율적인 FFT에 기반한 선형 minimum mean square error 필터를 유도한다. 제안된 영상 모델의 정당성 및 알고리즘의 효율성을 제시한다.

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A Study on the Speed Control System of a 3 phase Induction Motor driven by the Full Bridge Inverter with a Low Pass LC Filter (저역통과 LC필터를 가진 전브리지형 인버터로 구동되는 3상유동전동기의 속도제어 시스템에 관한 연구)

  • 박진길
    • Journal of Advanced Marine Engineering and Technology
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    • v.22 no.4
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    • pp.538-550
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    • 1998
  • The variable frequency and variable voltage AC source made by a conventional inverter which is composed of power semi-conductors includes much noises in sine wave due to high frequency switching of DC source. In this paper the 3rd low pass LC filter for a variable speed 3 phase induction motor driven by a full bridge inverter is introduced to solve the EMI problem by serious noise current. The utility of a modified 3rd order Butterworth LC filter is confirmed through FFT analysis of sine waves and noiseless ACsource can be obtained by the proposed LC filter. The speed of a 3 phase induction motor driven by a full bridge inverter with a LC filter is satisfactorily controlled by a digital PID controller under the condition of stepwise load and setpoint changes.

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Application of Homomorphic Filtering to Satellite Imagery and Geophysical Image Data (위성영상 및 지구물리 영상자료의 호모몰픽 필터링 적용)

  • Yoo Hee-Young;Lee Kiwon;Kwon Byung-Doo
    • Journal of the Korean earth science society
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    • v.26 no.1
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    • pp.58-65
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    • 2005
  • Homomorphic filtering improves image by enhancing high components and reducing low components in the Sequency domain based on FFT, as one of useful digital image processing techniques. In this study, the application program f3r homomorphic filtering was developed. Using this program, satellite imageries and geophysical image such as magnetic image data were processed and their results were analyzed. In case of applying to other techniques suck as histogram equalization and kernel-based masking f3r the same purpose. they often cause the slight distortion of boundary or overall change of brightness values on the whole image. Whereas. homomorphic filtering has ability to enhance selectively detailed components in a target image. Therefore. this technique can be effectively used for extraction or separation of complex types of characteristics contained in the satellite imagery. In addition, this technique would be applicable to investigate anomalous zone in various geophysical image data.

Analysis of the Ocean Acoustic Channel Using M-sequences in Ocean Acoustic Tomography (해양 음향 토모그래피에서 M-시퀀스를 이용한 해양 음향 채널 분석)

  • Seo, Seok;Lee, Chan-Kil
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.1
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    • pp.24-29
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    • 2004
  • In ocean acoustic tomography (OAT), the pulse compression techniques using M-sequences are employed in the many studies for investigating the ocean structures. M-sequences can provide the good time and Doppler resolution in the process of demodulation using matched-filter. The signal-to-noise (SNR) performance at the output of receiver may be improved by manipulating received signal, i. e. coherently averaging. The processing time can be significantly reduced by using fast hadarmard transform (FHT) or fast Fourier transform (FFT). In this paper, we estimate the multipath arrival structures and delay times using the East Korean Sea experiment data and explore the compensation method for the detrimental effects on performance due to sampling rate error. We also analyze the characteristics of the ocean acoustic channels through scattering function, delay power profile, and time dispersions.

Adaptive Noise Removal Based on Nonstationary Correlation (영상의 비정적 상관관계에 근거한 적응적 잡음제거 알고리듬)

  • 박성철;김창원;강문기
    • Journal of Broadcast Engineering
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    • v.8 no.3
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    • pp.278-287
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    • 2003
  • Noise in an image degrades image quality and deteriorates coding efficiency. Recently, various edge-preserving noise filtering methods based on the nonstationary image model have been proposed to overcome this problem. In most conventional nonstationary image models, however, pixels are assumed to be uncorrelated to each other in order not to Increase the computational burden too much. As a result, some detailed information is lost in the filtered results. In this paper, we propose a computationally feasible adaptive noise smoothing algorithm which considers the nonstationary correlation characteristics of images. We assume that an image has a nonstationary mean and can be segmented into subimages which have individually different stationary correlations. Taking advantage of the special structure of the covariance matrix that results from the proposed image model, we derive a computationally efficient FFT-based adaptive linear minimum mean-square-error filter. Justification for the proposed image model is presented and effectiveness of the proposed algorithm is demonstrated experimentally.

Watermarking Algorithm for Copyright Protection of Haegeum Sound Contents (해금 사운드 콘텐츠의 저작권 보호를 위한 워터마킹 알고리듬)

  • Hong, Yeon-Woo;Kang, Myeong-Su;Cho, Sang-Jin;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.4
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    • pp.214-219
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    • 2009
  • This paper proposes a watermarking algorithm considering the frequency characteristics of Haegeum sounds for copyright protection of digital Haegeum sound contents. The harmonics of Haegeum sounds commonly have large magnitude values in 1500Hz~2000Hz and 2800Hz~3500Hz so that those bands are selected to embed a watermark. The proposed method computes the FFT (fast Fourier transform) of the original sound signal and embeds the watermark bits generated by PN (pseudo noise) sequence into the harmonics in the selected bands. Furthermore, the proposed method is robust to lowpass filter, bandpass filter, cropping, noise addition, MP3 compression attacks and the maximum BER (bit error rate) is 1.41% after lowpass filter attack. To measure the quality of the watermarked sound, subjective listening test, MUSHRA (multiple stimuli with hidden reference and anchor), was conducted. The mean value of MUSHRA listening test is bigger than 98 and 96.67 for every Haegeum sounds and Korean classical music with Haeguem, respectively.

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