• 제목/요약/키워드: Discrete Signal

검색결과 629건 처리시간 0.021초

Bandpass Discrete Prolate Spheroidal Sequences and Its Applications to Signal Representation and Interpolation

  • Oh, Jin-Sung
    • 융합신호처리학회논문지
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    • 제14권2호
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    • pp.70-76
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    • 2013
  • In this paper, we propose the bandpass form of discrete prolate spheroidal sequences(DPSS) which have the maximal energy concentration in a given passband and as such are very appropriate to obtain a projection of signals. The basic properties of the bandpass DPSS are also presented. Assuming a signal satisfies the finite time support and the essential band-limitedness conditions with a known center frequency, signal representation and interpolation techniques for band-limited signals using the bandpass DPSS are introduced where the reconstructed signal has minimal out-of-band energy. Simulation results are given to present the usefulness of the bandpass DPSS for efficient representation of band-limited signal.

실시간 퍼지 시간논리구조를 이용한 교차로 네트워크의 모델링과 제어 (Modeling and Control of Intersection Network using Real-Time Fuzzy Temporal Logic Framework)

  • 김정철;이원혁;김진권
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.352-357
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    • 2007
  • This paper deals with modeling method and application of Fuzzy Discrete Event System(FDES). FDES have characteristics which Crisp Discrete Event System(CDES) can't deals with and is constituted with the events that is determined by vague and uncertain judgement like biomedical or traffic control. We proposed Real-time Fuzzy Temporal Logic Framework(RFTLF) to model Fuzzy Discrete Event System. It combines Temporal Logic Framework with Fuzzy Theory. We represented the model of traffic signal systems for intersection to have the property of Fuzzy Discrete Event System with Real-time Fuzzy Temporal Logic Framework and designed a traffic signal controller for smooth traffic flow. Moreover, we proposed the method to find the minimum-time route to reach the desired destination with information obtained in each intersection. In order to evaluate the performance of Real-time Fuzzy Temporal Logic Framework model proposed in this paper, we simulated unit-time extension traffic signal controller model of the latest signal control method on the same condition.

펄스-폭 변조방식의 직렬공진 컨버터의 소신호 모델링 (Small Signal Modeling for the PWM Series Resonant Converter (PWM-SRC))

  • 최현칠
    • 대한전기학회논문지:전력기술부문A
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    • 제48권11호
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    • pp.1441-1447
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    • 1999
  • A discrete time domain modeling is presented for the pulse-width modulated series resonant converter (PWM-SRC) with a discontinuous current mode. This nonlinear system is linearized about its equilibrium state to obtain a linear discrete time model for the investigation of small signal performances such as the stability and transient response. The usefulness of this small signal model is verified through the dynamic simulation.

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웨이브렛을 이용한 잡음 제거 알고리즘 (Denoising Algorithm using Wavelet)

  • 배상범;김남호
    • 한국정보통신학회논문지
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    • 제6권8호
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    • pp.1139-1145
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    • 2002
  • 웨이브렛 변환 데이터는 신호의 상세 정보를 포함하고 있으므로 주파수 대역별로 필터링할 수 있다. 따라서, 본 논문에서는 중요한 두 가지 잡음을 웨이브렛을 사용하여 제거하였다. AWGN 환경에 대해서 hard-threshold를 적용한 UDWT(undecimated discrete wavelet transform)를 사용하였으며, 임펄스 잡음환경에 대해서는 임계치에 의한 잡음 제거와 웨이브렛에 의한 신호의 slope를 이용하여, 잡음 제거 효과를 최대로 함과 동시에 원신호의 edge를 인식하도록 하였다. 이러한 잡음 제거 효과의 판단 기준으로 SNR을 사용하였으며, 테스트 신호로서 Blocks와 DTMF(dual tone multi frequency)를 사용하였다.

선형 시변 시스템에서의 이산 시간 모델의 신호처리 적용성 고찰 (A Consideration on the Applicability of the Discrete-Time Models of Linearly Time-Varying Systems to Digital Signal Processing)

  • 권순만;이종무;박민국;김춘경;천종민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.267-269
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    • 2005
  • This paper describes a consideration on the sampling in linearly time-varying (LTV) systems in view of the convenience in digital signal processing. The relation between a continuous-time and a discrete-time system models is investigated for a simple linear time-invariant system. Based on the results of the investigation, we first consider discrete-time models for LTV systems, Then the simplicity of the models in terms of microprocessor-based digital signal processing is compared.

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이산 카오스 함수와 Permutation Algorithm을 결합한 고신뢰도 광영상 암호시스템 (A high reliable optical image encryption system which combined discrete chaos function with permutation algorithm)

  • 박종호
    • 정보보호학회논문지
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    • 제9권4호
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    • pp.37-48
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    • 1999
  • 현대암호방식은 종래의 선형 대수와 수리이론을 적용한 암호통신을 벗어난 유사 잡음성을 띠는 카오스 신호를 이용한 암호통신을 적용해 오고 있다,[1-2] 본 논문은 1차 permutation 알고 리즘을 이용 하여 변환된 정보를 2차 이산 카오스 변환 함수를 이용해 암호화하는 광영상 암호시스템을 제안하여UT 다. 제안된 시스템은 키수열 발생기의 출력을 통해 영상정보를 permutation 하는 알고리즘 을 설계하였고 이에 대한 검정을 수행하였다. 또한 본 논문에서는 permutation 알고리즘을 통해 제한적인 카오스 함수 의 적용시 발생하는 문제점을 해결하고 비도를 증가시킴으로써 광영상 암호시스템에 적용 시 그 타당성 을 검정하였다. Current encryption methods have been applied to secure communication using discrete chaotic system whose output is a noise-like signal which differs from the conventional encryption methods that employ algebra and number theory[1-2] We propose an optical encryption method that transforms the primary pattern into the image pattern of discrete chaotic function first a primary pattern is encoded using permutation algorithm, In the proposed system we suggest the permutation algorithm using the output of key steam generator and its security level is analyzed. In this paper we worked out problem of the application about few discrete chaos function through a permutation algorithm and enhanced the security level. Experimental results with image signal demonstrate the proper of the implemented optical encryption system.

평균전류모드제어의 전류응답예측을 위한 새로운 이산시간 소신호 모델 (New Discrete-time Small Signal Model of Average Current Mode Control for Current Response Prediction)

  • 정영석
    • 전력전자학회논문지
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    • 제10권3호
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    • pp.219-225
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    • 2005
  • 본 논문에서는 평균전류모드제어를 이용하는 컨버터의 전류응답을 예측할 수 있는 새로운 이산시간 소신호 모델을 구한다. 평균전류모드제어는 최대전류모드제어와 달리 전류제어를 위해 복잡한 보상기 회로를 사용하므로 컨버터의 동작 특성 해석이 어렵다. 평균전류모드제어를 사용하는 컨버터의 소신호 전류응답을 예측하기 위해 샘플러모델을 제안하고, 이 모델로부터 새로운 이산시간 소신호 모델을 구한다. 제안된 방식은 기존 방식과 달리 복잡한 형태의 보상기를 사용하는 컨버터에도 적용 가능하다. 제안한 새로운 이산시간 소신호 모델을 이용한 예측 결과를 스위칭 모델 시뮬레이션 프로그램인 PSIM을 이용한 시뮬레이션 결과 및 실험결과와 비교하여 제안한 새로운 이산시간 소신호 모델의 우수성을 보인다.

Q 인자의 조절이 가능한 이산 웨이브렛 변환을 이용한 디지털 영상처리 (Digital Image Processing Using Tunable Q-factor Discrete Wavelet Transformation)

  • 신종홍
    • 디지털산업정보학회논문지
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    • 제10권3호
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    • pp.237-247
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    • 2014
  • This paper describes a 2D discrete-time wavelet transform for which the Q-factor is easily specified. Hence, the transform can be tuned according to the oscillatory behavior of the image signal to which it is applied. The tunable Q-factor wavelet transform (TQWT) is a fully-discrete wavelet transform for which the Q-factor, Q, of the underlying wavelet and the asymptotic redundancy (over-sampling rate), r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to match the oscillatory behavior of the signal of interest, so as to enhance the sparsity of a sparse signal representation. The TQWT is well suited to fast algorithms for sparsity-based inverse problems because it is a Parseval frame, easily invertible, and can be efficiently implemented. The TQWT can also be used as an easily-invertible discrete approximation of the continuous wavelet transform. The transform is based on a real valued scaling factor (dilation-factor) and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. The transform is parameterized by its Q-factor and its oversampling rate (redundancy), with modest oversampling rates (e. g. 3-4 times overcomplete) being sufficient for the analysis/synthesis functions to be well localized. Therefore, This method services good performance in image processing fields.

이산 Convolution 적산의 z변환의 증명을 위한 인과성의 필요에 대한 재고 (A Reconsideration of the Causality Requirement in Proving the z-Transform of a Discrete Convolution Sum)

  • 정태상;이재석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제52권1호
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    • pp.51-54
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    • 2003
  • The z-transform method is a basic mathematical tool in analyzing and designing digital signal processing systems for discrete input and output signals. There are may cases where the output signal is in the form of a discrete convolution sum of an input function and a designed digital processing algorithm function. It is well known that the z-transform of the convolution sum becomes the product of the two z-transforms of the input function and the digital processing function, whose proofs require the causality of the digital signal processing function in the almost all the available references. However, not all of the convolution sum functions are based on the causality. Many digital signal processing systems such as image processing system may depend not on the time information but on the spatial information, which has nothing to do with causality requirement. Thus, the application of the causality-based z-transform theorem on the convolution sum cannot be used without difficulty in this case. This paper proves the z-transform theorem on the discrete convolution sum without causality requirement, and make it possible for the theorem to be used in analysis and desing for any cases.

DCT and DWT Based Robust Audio Watermarking Scheme for Copyright Protection

  • Deb, Kaushik;Rahman, Md. Ashikur;Sultana, Kazi Zakia;Sarker, Md. Iqbal Hasan;Chong, Ui-Pil
    • 융합신호처리학회논문지
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    • 제15권1호
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    • pp.1-8
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    • 2014
  • Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. This paper proposes a new audio watermarking method based on Discrete Cosine Transformation (DCT) and Discrete Wavelet Transformation (DWT) for copyright protection. In our proposed watermarking method, the original audio is transformed into DCT domain and divided into two parts. Synchronization code is applied on the signal in first part and 2 levels DWT domain is applied on the signal in second part. The absolute value of DWT coefficient is divided into arbitrary number of segments and calculates the energy of each segment and middle peak. Watermarks are then embedded into each middle peak. Watermarks are extracted by performing the inverse operation of watermark embedding process. Experimental results show that the hidden watermark data is robust to re-sampling, low-pass filtering, re-quantization, MP3 compression, cropping, echo addition, delay, and pitch shifting, amplitude change. Performance analysis of the proposed scheme shows low error probability rates.