• Title/Summary/Keyword: wavelet technique

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Audio Coder Using an Adaptive Wavelet packet Decomposition and Psychoacoustic (적응 웨이블릿 패킷을 이용한 오디오 부호화기와 심리음향 모델링)

  • 김준성
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.06c
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    • pp.245-248
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    • 1998
  • In this paper, a new variable wavelet packet decomposition audio coder, based on the time varying characteristic of the audio signals, is proposed and presents a technique to incorporate psychoacoustic models into an adaptive wave let packet scheme. The proposed filterbank improves the defect of the polyphase filterbank that could not properly represent the critical band and the defect of QMF-tree filter that need high complexity to implement. The filterbank consists of varying number of subband from 4 to 26 bands and use Daubechies 6-order wave let. The codec yields excellent quality at total bit rates of about 128kbps for monophonic CD-quality signals with an sampling frequency of 44.1kHz and reduces complexity by 19% for various bit-rates and sources with encoding and decoding process.

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Discrimination of Air PD Sources Using Time-Frequency Distributions of PD Pulse Waveform (부분방전 펄스파형의 시간-주파수분포를 이용한 기중부분방전원의 식별)

  • Lee Kang-Won;Kang Seong-Hwa;Lim Ki-Joe
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.7
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    • pp.332-338
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    • 2005
  • PD(Partial Discharge) signal emitted from PD sources has their intrinsic features in the region of time and frequency STFT(Short Time Fourier Transform) shows time-frequency distribution at the same time. 2-Dimensional matrices(33$\times$77) from STFT for PD pulse signals are a good feature vectors and can be decreased in dimension by wavelet 2D data compression technique. Decreased feature vectors(13$\times$24) were used as inputs of Back-propagation ANN(Artificial Neural Network) for discrimination of Multi-PD sources(air discharge sources(3), surface discharge(1)). They are a good feature vectors for discriminating Multi-PD sources in the air.

Data-Hiding Method using Digital Watermark in the Public Multimedia Network

  • Seo, Jung-Hee;Park, Hung-Bog
    • Journal of Information Processing Systems
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    • v.2 no.2
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    • pp.82-87
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    • 2006
  • In spite of the rapid development of the public network, the variety of network-based developments currently raises numerous risks factors regarding copyright violation, the prohibition and distribution of digital media utilization, safe communication, and network security. Among these problems, multimedia data tend to increase in the distributed network environment. Hence, most image information has been transmitted in the form of digitalization. Therefore, the need for multimedia contents protection must be addressed. This paper is focused on possible solutions for multimedia contents security in the public network in order to prevent data modification by non-owners and to ensure safe communication in the distributed network environment. Accordingly, the Orthogonal Forward Wavelet Transform-based Scalable Digital Watermarking technique is proposed in this paper.

Diagnosis and Non-contact Measurement of Bending Waves by Magnetosrictive Sensors (마그네토스트릭션 센서를 이용한 굽힘파의 비접촉 측정 및 이상 진단)

  • Kim, Ik-Kyu;Kim, Yoon-Young
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.630-635
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    • 2002
  • This work is concerned with the damage size estimation by using propagating bending wave signals in a beam. For the accurate estimation, we apply the continuous wavelet transforms to the incident waves and the reflected waves from a small damage in a long cylindrical beam. In particular, we propose to use the ratio of the magnitude of the incident and reflected waves along the ridges in the wavelet-transformed time-frequency plane. This technique is applied to the signals measured by non-contact magnetostrictive sensors. Experimental results indicate that the present method using the magnetostrictive sensor can be quite effective for accurate damage size estimation with simple measurements.

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Directional Postprocessing Techniques to Improve Image Quality in Wavelet-based Image Compression (웨이블릿 기반 압축영상의 화질 향상을 위한 방향성 후처리 기법)

  • 김승종;정제창
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.6B
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    • pp.1028-1040
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    • 2000
  • Since image data has large data amount, proper image compression is necessary to transmit and store the data efficiently. Image compression brings about bit rate reduction but results in some artifacts. This artifacts are blocking artifacts, mosquito noise, which are observed in DCT based compression image, and ringing artifacts, which is perceived around the edges in wavelet based compression image. In this paper, we propose directional postprocessing technique which improved the decoded image quality using the fact that human vision is sensible to ringing artifacts around the edges of image. First we detect the edge direction in each block. Next we perform directional postprocessing according to detected edge direction. Proposed method is that the edge direction is block. Next performed directional postprocessing according to detected edge direction. If the correlation coefficients are equivalent to each directions, postprocessing is not performed. So, time of the postproces ing brings about shorten.

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QR Barcode Readability Technique of the JPEG Image Based on Digital Watermarking

  • Seo, Jung Hee;Park, Hung Bok
    • Journal of information and communication convergence engineering
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    • v.16 no.3
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    • pp.179-188
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    • 2018
  • This paper proposes a quick response (QR) barcode watermarking algorithm in order to improve readability of the QR barcode in a JPEG image. The proposed algorithm embeds a watermark in a wavelet based-low frequency band for watermark robustness, and visually extracts a QR barcode after embedding the QR barcode image with confidential information into the original image via imperceptible watermarking technology. The visually extracted QR barcode watermark uses an approach to authenticate the ownership more easily through a common hardware and software-based mobile barcode reader app. Therefore, the QR barcode watermark may improve the ability to easily detect watermarks efficiently as well as imperceptibility and robustness, which is the main watermark requirement by embedding the QR barcode with watermark text information in a digital image and when compare to conventional watermarks.

Feature Extraction for Fault Signals of High Voltage Motor Stator Windings (고압전동기 결함신호의 특징추출에 관한 연구)

  • Park, Jae-Jun;Kim, Hee-Dong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.1154-1157
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    • 2004
  • During normal machine operation, partial discharge(PD) measurements were performed with turbine generator analyzer(TGA) in imitation stator winding of high voltage motors. The motor was energized to 4.47kV, 6.67, respectively. Applied voltage to Imitation winding was used two voltage level, 4.47[KV]and 6.67[KV]. Motors having imitation stator winding were installed with 80pF capacitive couplers at the terminal box Case of PD Pattern regarding applied voltage phase angel, the PD patterns were displayed two dimensional and three dimensional. TGA summarizes each plot with two quantities such as the normalized quantity number(NQN) and the peak PD magnitude(Qm). As the result, we could discrimidate using TGA the difference of internal and surface discharge for imitation stator winding. We have used the other technique, in order to feature extraction of faulty signals on stator winding, Daubechies Discrete wavelet transform and Harmonics analysis(FFT) about faulty signals.

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Strip Rupture Detection System of Cold Rolling Mill using Transient Current Signal (과도 전류신호를 이용한 냉간 압연기의 판 터짐 검지 시스템)

  • Yang, S.W.;Oh, J.S.;Shim, M.C.;Kim, S.J.;Yang, B.S.;Lee, W.H.
    • Journal of Power System Engineering
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    • v.14 no.2
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    • pp.40-47
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    • 2010
  • This paper proposes a fault detection system to detect the strip rupture in six-high stand Cold Rolling Mills based on transient current signal of an electrical motor. For this work, signal smoothing technique is used to highlight precise feature between normal and fault condition. Subtracting the smoothed signal from the original signal gives the residuals that contains the information related to the normal or faulty condition. Using residual signal, discrete wavelet transform is performed and acquire the signal presenting fault feature well. Also, feature extraction and classification are executed by using PCA, KPCA and SVM. The actual data is acquired from POSCO for validating the proposed method.

MC-CDMA Transmultiplexing Technique Using Quadrature filter Banks (필터뱅크 쌍을 이용한 MC-CDMA 다중화 전송 기법)

  • 오형진;이재철;곽훈성;최재호
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.130-133
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    • 1999
  • In the view point of further reducing the inter-symbol interferences studied in our previous paper 〔1〕, a quadrature pair of wavelet-based filter banks that are composed of a pair of cosine and sine modulated filter banks is applied to MC-CDMA transmultiplexing. For that fact, the symbol duration gets twice longer than the one in , 〔1〕, the interference effects due to channel overlapping and Doppler spread can be effectively alleviated while increasing the channel utilization efficiency. Moreover, the well-known wavelet properties are exploited to design the prototype filter in such a way to maintain the size of sidelobes much smaller than those of the FFT, the interference reduction effect can be further obtained. To verify the behavior of our proposed quadrature filter bank based MC-CDMA system, the reverse-link bit error rates with respect to SNR under Rayleigh fading and additive white Gaussian noise channel environments are computed. The results show an improved system performance over the conventional MC-CDMA.

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Health Monitoring of Steel Plates Using Lamb Waves and Support Vector Machines (Lamb파와 SVM을 이용한 강구조물의 건전성 감시기법)

  • Park, Seung-Hee;Yun, Chung-Bang;Roh, Yong-Rae
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2005.03a
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    • pp.331-342
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    • 2005
  • This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Support vector machines (SVMs), which is a tool for pattern classification problems, was applied to the damage estimation. Two kinds of damages were artificially introduced by loosening bolts located in the path of the Lamb waves and those out of the path. The damage cases were used for the establishment of the optimal decision boundaries which divide each damage class's region from the intact class. In this study, the applicability of the SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by loose bolts on the jointed steel plate.

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