• Title/Summary/Keyword: Discrete Signal

검색결과 629건 처리시간 0.042초

새로운 Mexican Hat, $L^1$-웨이브릿의 이산복원정리와 그 응용 (New Mexican Hat, a Discrete Reconstruction Theorem of $L^1$-Wavelets and Their Applications)

  • 안주원;허영대;권기룡;류권열;문광석
    • 한국멀티미디어학회논문지
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    • 제3권5호
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    • pp.461-469
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    • 2000
  • 해석학 분야의 한 갈래인 웨이브릿 해석에서 CWT(continuous wavelet transform)는 Plancherel 형태의 복원정리가 성립하고, 웨이브릿 급수는 frame 이론과 다해상도 분석이론(multiresolution analysis; MRA)을 활용한 이산복원정리가 성립한다. 복원정리가 만들어짐에 따라 이에 상응하는 웨이브릿이 생성되는데, CWT에서는 허용조건(admissibility condition)을 만족하는 Basic 웨 이브릿이고, 웨이브릿 급수에서는 MRA를 이용한 Daubechies 웨이브릿, frame 이론을 이용한 Meyer 웨이브릿 등을 생각할 수 있다. 본 논문에서는 CWT에서 사용한 허용조건을 자연스럽게 확장함으로써 기존의 것보다 간편하고 활용도가 우수한 이 산복원정리를 발견하고, 이에 상응하는 보다 만들기 쉬운 새로운 형태의 $L^1$-웨이브릿 군을 개발함을 목적으로 한다. 본 연구에서 개발한 새로운 웨이브릿을 사용하여 시간-주파수에서의 신호 복원 및 분석에 응용한다.

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정상신호의 위상 추정을 이용한 전력 품질 왜곡 신호의 압축에 관한 연구 (A Study of the Compression for the Power Quality Disturbance Signal by using the Phase Estimation of Stationary Signal)

  • 정영식;박찬웅
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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    • pp.341-343
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    • 2005
  • This paper introduces a compression algorithm for power quality disturbance signal via the discrete wavelet transform, DWT. Algorithm to estimate a time delay from the power quality disturbance signal is proposed. Pseudo-stationary signal is constructed from the estimated time delay. A difference signal or nonstationary signal is obtained by removing a pseudo-stationary signal from a disturbance signal. DWT is applied to a difference signal. The threshold is applied to reduce a number of coefficients. Simulation results show the resonable compression ratio while keep low signal distortion.

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이산 웨이블릿 변환 기반 디-노이징 필터를 이용한 향상된 음원 위치 추정 연구 (Advanced Sound Source Localization Study Using De-noising Filter based on the Discrete Wavelet Transform(DWT))

  • 황보연;정재훈;이장명
    • 제어로봇시스템학회논문지
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    • 제21권12호
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    • pp.1185-1192
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    • 2015
  • In this paper, a study of advanced sound source localization is conducted by eliminating the noise of the sound source using the discrete wavelet transform. And experiments are conducted to evaluate the performance of the proposed system that the mobile robot follows sound source stably. In addition, we compare the position estimation performance by applying a discrete wavelet transform to improve the reliability of the sound signal. The experimental results reveal that the de-nosing filter which removes the noise component in sound source can make the performance of position estimation more precisely and help the mobile robot distinguish the objective sound source clearly.

RCF 기법을 이용한 SVC의 주기적 스위칭 동작에 의한 전력계통 진동모드 감도해석 (Sensitivity Analysis of Power System Oscillation Modes Induced by Periodic Switching Operations of SVC by the RCF Method)

  • 김덕영
    • 전기학회논문지
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    • 제57권3호
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    • pp.363-368
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    • 2008
  • In this paper, the Resistive Companion Form(RCF) analysis method is applied to analyze small signal stability of power systems including thyristor controlled FACTS equipments such as SVC. The eigenvalue sensitivity analysis algorithm in discrete systems based on the RCF analysis method is presented and applied to the power system including SVC. As a result of simulation, the RCF analysis method is proved very effective to precisely calculate the variations of eigenvalues or newly generated unstable oscillation modes after periodic switching operations of SVC. Also the eigenvalue sensitivity analysis method based on the RCF analysis method enabled to precisely calculate eigenvalue sensitivity coefficients of controller parameters about the dominant oscillation mode after periodic switching operations in discrete systems. These simulation results are different from those of the conventional continuous system analysis method such as the state space equation and proved that the RCF analysis method is very effective to analyze the discrete power systems including periodically operated switching equipments such as SVC.

이산 웨이블렛 변환을 이용한 자유감쇠 횡요 데이타의 분리 (Decoupling of Free Decay Roll Data by Discrete Wavelet Transform)

  • Kwon, Sun-Hong;Lee, Hee-Sung;Lee, Hyoung-Suk;Ha, Mun-Keun
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2001년도 추계학술대회 논문집
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    • pp.169-173
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    • 2001
  • This study presents the results of decoupling of free decay roll test data by discrete wavelet transform. Free roll decay test was performed to decide the coefficients of damping terms in equation of motion. During the experiment, a slight yaw motion was found while the model was in the free roll decay motion. Discrete wavelet transform was applied to the signal to extract the pure roll motion. The results were compared to those of the Fourier transform. DWT was able to decouple the two signals efficiently while the Fourier transform was not.

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다구치의 표준 SN비를 이용한 이산형 시스템의 로버스트설계 (Robust Design of a Discrete System Using Taguchi's Standard Signal-to-Noise Ratio)

  • 김성준
    • 품질경영학회지
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    • 제27권2호
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    • pp.101-111
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    • 1999
  • The purpose of Taguchi's robust design lies in quality improvement by making the performance of a system robust against noise. Robust design with continuous performance characteristics has been the subject of much interest. However relatively little work has been done for discrete characteristics such as 0-1, good-medium-bad, etc. This paper is concerned with robust design of a discrete dynamic system. We first investigate the Taguchi method for robust design with discrete dynamic characteristics and discuss his standard error probability (SEP). Then we propose a generalized SEP, which makes it possible to encompass a wider class of robust design problems. An illustration is also given by example.

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Systolic Array Processor Architecture를 이용한 Discrete Hartley Transform 의 병렬 처리 실행 (Parallel Processing Implementation of Discrete Hartley Transform using Systolic Array Processor Architecture)

  • 강재권;주창희;최종수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.14-16
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    • 1988
  • With the development of VLSI technology, research on special processors for high-speed processing is on the increase and studies are focused on designing VLSI-oriented processors for signal processing. This paper processes a one-dimensional systolic array for Discrete Hartley Transform implementation and also processes processing element which is well described for algorithm. The discrete Hartley Transform(DHT) is a real-valued transform closely related to the DFT of a real-valued sequence can be exploited to reduce both the storage and the computation requried to produce the transform of real-valued sequence to a real-valued spectrum while preserving some of the useful properties of the DFT is something preferred. Finally, the architecture of one-dimensional 8-point systolic array, the detailed diagram of PE, total time units concept on implementation this arrays, and modularity are described.

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퍼지 이산사건 시스템의 모델링과 응용 (Modeling of The Fuzzy Discrete Event System and It s Application)

  • 김진권;김정철;황형수
    • 한국지능시스템학회논문지
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    • 제14권4호
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    • pp.487-492
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    • 2004
  • 본 논문은 Crisp Discrete Event System(CDES)에서 다룰 수 없는 특성을 가지는 의료진단이나 교통제어와 같이 애매하거나 불확실한 판단 그리고 관련성이 모호한 판단의 근거들에 의해 결정되어지는 사건들로 이루어진 Fuzzy Discrete Event System(FDES)의 모델링 방법과 그 응용에 대하여 연구하였다. 일반적인 CDES는 모델링 방법이 많이 연구되어져 왔으나, FDES는 발생되어지는 사건들의 정성적인 특성과 적용되어지는 경우가 드문 이유로 거의 연구되어져 있지 않다. 본 논문에서는 Fuzzy Timed Transition Petri Net(FTTPN)으로 FDES인 교통 시스템을 모델링하고 교통 신호제어기를 설계하였다.

3중 밀도 이산 웨이브렛 변환을 이용한 디지털 영상처리 기법 (The Digital Image Processing Method Using Triple-Density Discrete Wavelet Transformation)

  • 신종홍
    • 디지털산업정보학회논문지
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    • 제8권3호
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    • pp.133-145
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    • 2012
  • This paper describes the high density discrete wavelet transformation which is one that expands an N point signal to M transform coefficients with M > N. The double-density discrete wavelet transform is one of the high density discrete wavelet transformation. This transformation employs one scaling function and two distinct wavelets, which are designed to be offset from one another by one half. And it is nearly shift-invariant. Similarly, triple-density discrete wavelet transformation is a new set of dyadic wavelet transformation with two generators. The construction provides a higher sampling in both time and frequency. Specifically, the spectrum of the first wavelet is concentrated halfway between the spectrum of the second wavelet and the spectrum of its dilated version. In addition, the second wavelet is translated by half-integers rather than whole-integers in the frame construction. This arrangement leads to high density wavelet transformation. But this new transform is approximately shift-invariant and has intermediate scales. In two dimensions, this transform outperforms the standard and double-density discrete wavelet transformation in terms of multiple directions. Resultingly, the proposed wavelet transformation services good performance in image and video processing fields.

Lung Sound Classification Using Hjorth Descriptor Measurement on Wavelet Sub-bands

  • Rizal, Achmad;Hidayat, Risanuri;Nugroho, Hanung Adi
    • Journal of Information Processing Systems
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    • 제15권5호
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    • pp.1068-1081
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    • 2019
  • Signal complexity is one point of view to analyze the biological signal. It arises as a result of the physiological signal produced by biological systems. Signal complexity can be used as a method in extracting the feature for a biological signal to differentiate a pathological signal from a normal signal. In this research, Hjorth descriptors, one of the signal complexity measurement techniques, were measured on signal sub-band as the features for lung sounds classification. Lung sound signal was decomposed using two wavelet analyses: discrete wavelet transform (DWT) and wavelet packet decomposition (WPD). Meanwhile, multi-layer perceptron and N-fold cross-validation were used in the classification stage. Using DWT, the highest accuracy was obtained at 97.98%, while using WPD, the highest one was found at 98.99%. This result was found better than the multi-scale Hjorth descriptor as in previous studies.