• 제목/요약/키워드: Instantaneous Frequency/Amplitude

검색결과 55건 처리시간 0.02초

다중 성분의 저표본화된 AM, FM 및 AM-FM 신호들의 복조와 성능 (Demodulation and Performance of Multicomponent Undersampled AM, FM and AM-FM Signals)

  • 손태호;황의천
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권7호
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    • pp.399-406
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    • 2000
  • We propose an nonlinear demodulation algorithm for undersampled multicomponent AM(Amplitude Modulation), FM(Frequency Modulation) and AM-FM signals. First, we derive respectively undersampling frequency of the AM, FM and AM-FM using undersampling scheme, and separate respectively monocomponent signals from multicomponent signals using periodic algebraic separation algorithm. In this case augmented separation matrix is very regular and sparse, it has a special structure. The proposed demodulation algorithm detects respectively message signals of the IA(Instantaneous Amplitude) and IF(Instantaneous Frequency) from descrete monocomponent AM, FM and AM-FM signals with an undersampling frequency to be controllable. Verifying the RMS(Root Mean Squares) errors of the detected signals, we show that the performance is excellent.

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Laboratory study on the modulation evolution of nonlinear wave trains

  • Dong, G.H.;Ma, Y.X.;Zhang, W.;Ma, X.Z.
    • Ocean Systems Engineering
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    • 제2권3호
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    • pp.189-203
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    • 2012
  • New experiments focusing on the evolution characteristics of nonlinear wave trains were conducted in a large wave flume. A series of wave trains with added sidebands, varying initial steepness, perturbed amplitudes and frequencies, were physically generated in a long wave flume. The experimental results show that the increasing wave steepness, increases the speed of sidebands growth. To study the frequency and phase modulation, the Morlet wavelet transform is adopted to extract the instantaneous frequency of wave trains and the phase functions of each wave component. From the instantaneous frequency, there are local frequency downshifts, even an effective frequency downshift was not observed. The frequency modulation increases with an increase in amplitude modulation, and abrupt changes of instantaneous frequencies occur at the peak modulation. The wrapped phase functions show that in the early stage of the modulation, the phase of the upper sideband first diverges from that of the carrier waves. However, at the later stage, the discrepancy phase from the carrier wave transformed to the lower sideband. The phase deviations appear in the front of the envelope's peaks. Furthermore, the evolution of the instantaneous frequency exhibits an approximate recurrence-type for the experiment with large imposed sidebands, even when the corresponding recurrence is not observed in the Fourier spectrum.

고차의 미분에너지함수를 이용한 주파수 및 진폭성분 추출 알고리즘과 응용 (Frequency/Amplitude Separation Algorithm Using the Higher Order Differential Energy Operator and Its Application)

  • 임병관
    • 전기학회논문지
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    • 제56권8호
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    • pp.1498-1502
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    • 2007
  • There have been many different definitions of energy functions as the second statistics of a signal. In this paper, using the higher order differential energy function, we propose an algorithm separating the amplitude and frequency components in a discrete sinusoidal signal. The proposed amplitude and frequency estimation methods have less computational requirement than the existing methods. It also shows large computational advantage over the root mean square (RMS) calculation of a signal. The proposed methods can be used in the detection of abnormal events in signals on the power line. Computer simulations show that proposed frequency estimation method can detect the presence of voltage increase or decrease for a short period of time. Also, the proposed estimation methods have been compared with existing methods in terms of estimation error variance.

신경망을 이용한 디지털 변조방식의 자동식별 (Automatic Identification of Digital Modulation Methode Using an Artification Neural Network)

  • 신용조
    • 한국통신학회논문지
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    • 제25권10B호
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    • pp.1769-1776
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    • 2000
  • In this paper a new method is proposed to identify a modulation method in the case of unknown digitally modulated input signals. The proposed identification method is implemented with an artificial neural network which is based on characteristic feature extracted from the instantaneous amplitude the instantaneous phase and the instantaneous frequency of the input signals. The proposed method was simulated with 9 type signals (ASK2, FSK2, FSK4, PSK2, PSK4, PSK8, QAM8, QAM16) in a noisy communication environment. The results show that the artificial neural network can accurately recognize all kinds of patterns.

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A new ultrasonic power generator using instantaneous current resultant control-based inverter and its control system

  • Kim, Dong-Hee;Kim, Young-Seok;Yoo, Dong-Wook;Kim, Yo-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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    • pp.631-636
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    • 1987
  • The design of ultrasonic transducer energy processing systems requires highly reliable command featuring mechanical frequency tracking and constant velocity control of the ultrasonic transducer with an acoustic load. This paper presents a new conceptional instantaneous current resultant control base high-frequency inverter using self turn-off devices driving an electrostrictive ultrasonic transducer system and its optimum control technique, which is implemented by feed-back of the ultrasonic transducer applied voltage and instantaneous velocity of the transducer vibrating system through a Phase-Locked-Loop control scheme. The feedback voltage corresponding to instantaneous velocity is averaged over a half-period with respect to constant amplitude/constant velocity control strategy. Described are the theory of this signal detection technique and the experimental set-up.

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Damage detection of nonlinear structures with analytical mode decomposition and Hilbert transform

  • Wang, Zuo-Cai;Geng, Dong;Ren, Wei-Xin;Chen, Gen-Da;Zhang, Guang-Feng
    • Smart Structures and Systems
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    • 제15권1호
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    • pp.1-13
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    • 2015
  • This paper proposes an analytical mode decomposition (AMD) and Hilbert transform method for structural nonlinearity quantification and damage detection under earthquake loads. The measured structural response is first decomposed into several intrinsic mode functions (IMF) using the proposed AMD method. Each IMF is an amplitude modulated-frequency modulated signal with narrow frequency bandwidth. Then, the instantaneous frequencies of the decomposed IMF can be defined with Hilbert transform. However, for a nonlinear structure, the defined instantaneous frequencies from the decomposed IMF are not equal to the instantaneous frequencies of the structure itself. The theoretical derivation in this paper indicates that the instantaneous frequency of the decomposed measured response includes a slowly-varying part which represents the instantaneous frequency of the structure and rapidly-varying part for a nonlinear structure subjected to earthquake excitations. To eliminate the rapidly-varying part effects, the instantaneous frequency is integrated over time duration. Then the degree of nonlinearity index, which represents the damage severity of structure, is defined based on the integrated instantaneous frequency in this paper. A one-story hysteretic nonlinear structure with various earthquake excitations are simulated as numerical examples and the degree of nonlinearity index is obtained. Finally, the degree of nonlinearity index is estimated from the experimental data of a seven-story building under four earthquake excitations. The index values for the building subjected to a low intensity earthquake excitation, two medium intensity earthquake excitations, and a large intensity earthquake excitation are calculated as 12.8%, 23.0%, 23.2%, and 39.5%, respectively.

An Applicability of Teager Energy Operator and Energy Separation Algorithm for Waveform Distortion Analysis : Harmonics, Inter-harmonics and Frequency Variation

  • Cho, Soo-Hwan;Hur, Jin;Chung, Il-Yop
    • Journal of Electrical Engineering and Technology
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    • 제9권4호
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    • pp.1210-1216
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    • 2014
  • This paper deals with an application of Teager Energy Operator (TEO) and Energy Separation Algorithm(ESA) to detect and determine various voltage waveform distortions like harmonics, inter-harmonics and frequency variation. Because the TEO and DESA algorithm was initially proposed for speech or communication analysis, its applications are limited to some types of waveform in the power quality analysis area. For example, an undistorted voltage signal is similar with a pure sinusoid. A voltage fluctuation is very similar with an amplitude-modulated signal, from the viewpoint of signal theory. And a continuous frequency variation is similar with a frequency-modulated signal, which is also known as a chirp signal. This paper is written to show that the TEO and DESA algorithm can be used for detecting occurrences of the representative waveform distortions and determining their instantaneous information of amplitude and frequency.

가스하이드레이트 탄성파 자료의 복소분석 (Complex Analyses for Gas Hydrate Seismic Reflection Data)

  • 도안 후이 히엔;장성형;김영완;서상용
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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    • pp.208-212
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    • 2008
  • Gas hydrate has been paid attention to study for because: 1) it can be considered as a new energy resources; 2) one of reasons causing the instability of sea floor slope and 3) a factor to the climate change. Bottom simulating reflector (BSR) defined as seismic boundary between the gas hydrate and free gas zone has been considered as the most common evidence in the seismic reflection data for the gas hydrate exploration. BSR has several characteristics such as parallel to the sea bottom, high amplitude, reducing interval velocity between above and below BSR and reversing phase to the sea bottom. Moreover, instantaneous attribute properties such as amplitude envelop, instantaneous frequency, phase and first derivative of amplitude of seismic data from the complex analysis could be used to analyze properties of BSR those would be added to the certain properties of BSR in order to effectively find out the existence of BSR of the gas hydrate stability zone. The output of conventional seismic data processing for gas hydrate data set in Ulleung basin in the East sea of Korea will be used for complex analyses to indicate better BSR in the seismic reflection data. This result of this analysis implies that the BSR of the analyzed seismic profile is clearly located at the two ways time (TWT) of around 3.1 seconds.

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신경망을 이용한 디지털 변조방식 식별 (Identification of Digital Modulation Method using an Artificial Neural Network)

  • 신용조
    • 전자공학회논문지T
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    • 제35T권3호
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    • pp.25-30
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    • 1998
  • 본 논문에서는 미지의 디지털 변조신호가 입력되는 경우에 변조방식을 식별하는 방법을 제안한다. 제안하는 식별 방법은 입력신호의 순시진폭, 순시주파수, 순시 위상을 구하고, 이를 바탕으로 특징벡터를 추출하여 신경망을 이용하여 식별하도록 구성하였다. 식별방법의 타당성을 검증하기 위해 백색 가우스성 잡음환경 하에서 8가지 입력신호를 사용하여 SNR을 변화시켜가며 모의실험을 수행하였다. 모의실험 결과 신경망을 이용하여 SNR 10 [㏈]까지 모든 입력 신호들을 식별해 낼 수 있었다.

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DFT 알고리즘을 이용한 PLL의 순시 추종 (The Instantaneous Phase-Tracking in PLL using the DFT Algorithm)

  • 김윤서;양오
    • 전자공학회논문지SC
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    • 제45권6호
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    • pp.141-148
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    • 2008
  • 신재생 에너지 분야에서 각광받고 있는 계통 연계형 태양광 인버터에서는 계통과의 연계를 위해서 반드시 계통의 위상 정보가 필요하다. 본 논문에서는 계통 연계형 태양광 발전 시스템에서의 위상 동기화 방법으로 원하는 기준 신호의 주파수를 구하여 동기신호로 사용하고, DFT(Discrete Fourier Transform) 알고리즘을 이용하여 기준 신호와의 위상차를 구하여 위상차만큼 보상하는 PLL(Phase Locked Loop)의 순시 추종방법을 제안하였다. 또한 DFT 연산에 사용되는 한주기 값들을 샘플링 할때마다 보정 위상 값을 구하는 방법과 특정 주파수의 기준신호에 대한 주파수 및 위상 추종뿐만 아니라 다양한 주파수 신호에 대한 주파수 및 위상을 추종하는 방법을 적용하여 시뮬레이션과 실험을 통해 본 논문의 타당성을 검증하여 유효성을 보이고자 한다.