• Title/Summary/Keyword: Signal Processing Method

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Frequency Domain Processing Techniques for Pulse Shape Modulated Ultra Wideband Systems

  • Gordillo, Alex Cartagena;Kohno, Ryuji
    • Journal of Communications and Networks
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    • v.9 no.4
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    • pp.482-489
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    • 2007
  • In this paper, two frequency domain signal processing techniques for pulse shape modulation(PSM) ultra wideband(UWB) systems are presented. Firstly, orthogonal detection of UWB PSM Hermite pulses in frequency domain is addressed. It is important because time domain detection by correlation-based receivers is severely degraded by many sources of distortion. Pulse-shape, the information conveying signal characteristic, is deformed by AWGN and shape-destructive addition of multiple paths from the propagation channel. Additionally, because of the short nature of UWB pulses, timing mismatches and synchronism degrade the performance of PSM UWB communication systems. In this paper, frequency domain orthogonality of the Hermite pulses is exploited to propose an alternative detection method, which makes possible efficient detection of PSM in dense multipath channel environments. Secondly, a ranging method employing the Cepstrum algorithm is proposed. This method is partly processed in the frequency domain and can be implemented without additional hardware complexity in the terminal.

Digital Watermarking Scheme based on SVD and Triplet (SVD 및 트리플릿 기반의 디지털 워터마킹 기법)

  • Park, Byung-Su;Chu, Hyung-Suk;An, Chong-Koo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.5
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    • pp.1041-1046
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    • 2009
  • In this paper, we proposed a robust watermark scheme for image based on SVD(Singular Value Transform) and Triplet. First, the original image is decomposed by using 3-level DWT, and then used the singular values changed for embedding and extracting of the watermark sequence in LL3 band. Since the matrix of singular values is not easily altered with various signal processing noises, the embedded watermark sequence has the ability to withstand various signal processing noise attacks. Nevertheless, this method does not guarantee geometric transformation(such as rotation, cropping, etc.) because the geometric transformation changes the matrix size. In this case, the watermark sequence cannot be extracted. To compensate for the above weaknesses, a method which uses the triplet for embedding a barcode image watermark in the middle of frequency band is proposed. In order to generate the barcode image watermark, the pattern of the watermark sequence embedded in a LL3 band is used. According to this method, the watermark information can be extracted from attacked images.

A Study of Information Extraction from Map using a Structural Relation (구조적인 관계를 이용한 지도의 정보추출에 관한 연구)

  • 전흥구;최관순
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.45-48
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    • 2000
  • A typical map image is consisted of number, symbols and lines that represent contour lines, geographical bounaries, roads, rivers and etc. This paper describe the separation. The separation algorithm is based on structural relation. The separation of proposed method is better than method using only a size of connected component. This proposed method will be used in GIS input system efficiently.

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Distance Detection Using Wavelet in Stereo Images (스테레오 영상에서 웨이블릿을 이용한 거리정보 검출)

  • 양석주;백중환
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.77-80
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    • 2000
  • In this paper, we propose a method of detecting the distance between two vehicles by computing the disparity of the close-rang vehicle stereo image using two digital cameras. The boundary(or edge) of the object considered the vehicle is obtained by using the modified wavelet transform which has multi-resolution characteristics. We analyze the histogram using the coarse-to-fine method considering a whole feature and increase the resolution to obtain the exact disparity. From the results, the distance of the close-range vehicle is detected effectively by using our proposed method.

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Design of a CDBC Using Second-order Smoothing Element (2차 평활요소를 이용한 CDBC의 설계)

  • 김진용;김성열;이금원
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.1
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    • pp.67-73
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    • 2002
  • This paper presents a new design method of optimal continuous deadbeat controller by using second-order smoothing elements. The continuous deadbeat controller is made of a serial integral compensator and a local feedback compensator introduced into the state feedback loop. The decision method of the damping factor and the natural angular frequency of the smoothing element is described. A numerical example is given to show how well input-output characteristics are improved. Especially according to the variable input and disturbance, corresponding CDBC design method is suggested. By computer simulations, control inputs and system outputs are shown to have desirable property such as smoothness.

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Reconstruction of surface spectral reflectance using RGB digital color signals

  • 방상택;곽한봉;서봉우;이철희;안석출
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.49-52
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    • 2000
  • The Estimation method for spectral reflectance of the object using five-band and nine-band have been developed. The five-band acquisition are required of five or three times same work for color image acquisition process. To solve the above problems, we proposed a new method that can be reconstructed spectral reflectance of object. The proposed method was to classify same hues corresponding a color stimulus, by using hue angle and chroma vector of a color stimulus. The reconstruction of spectral reflectance was examined by computer simulation, and evaluated by MSE(Mean Square Error) and color difference between the original and reconstructed spectral reflectance.

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Modified Weighted Filter Algorithm for Noise Elimination In Mixed Noise Environments

  • Gao, Yinyu;Kim, Nam-Ho
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.2
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    • pp.63-69
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    • 2012
  • Noise is regarded as an unwanted component of the image because it significantly reduces image quality. And image is often corrupted by mixed noise. In this paper an efficient modified weighted filter algorithm which combines spatial weight and intensity weight is proposed for removing mixed noise. In the proposed method, the filtering mask is separated into the four sub-windows and the parameters of the weights are confirmed by calculating local standard deviation and the mean of four sub-windows' standard deviations. Considering the spatial information and intensity information, the proposed method has good performance on not only noise elimination but also preservation of details. Simulation results demonstrate that the proposed method performs better than conventional algorithms.

Robust Positioning Control of a Flexible beam using $H_2/H_\infty$ and $\mu$ theory ($H_2/H_\infty$$\mu$ 이론을 이용한 유연 빔의 위치제어)

  • 최연욱;이형기
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.133-136
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    • 2000
  • The objective of this paper is to present a method for designing robust positioning control systems of a flexible arm using $H_2/H_{\infty}$ and $\mu$ theory. We begin with a description of the flexible arm based on the model identification method and discuss the derivation of the model uncertainty. The validity of the obtained model is confirmed experimentally Next, a robust controller is designed based on the $H_2/H_{\infty}$ and $\mu$ theory by which we can improve robustness of the entire system. On this occasion, we also propose a general plant formation suitable to $H_2/H_{\infty}$ control. Finally, the effectiveness of the proposed design method is verified through experimentation.

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A Study on the Extraction of Feature Variables for the Pattern Recognition of Welding Flaws (용접결함의 형상인식을 위한 특징변수 추출에 관한 연구)

  • Kim, Jae-Yeol;Roh, Byung-Ok;You, Sin;Kim, Chang-Hyun;Ko, Myung-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.103-111
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    • 2002
  • In this study, the natural flaws in welding parts are classified using the signal pattern classification method. The storage digital oscilloscope including FFT function and enveloped waveform generator is used and the signal pattern recognition procedure is made up the digital signal processing, feature extraction, feature selection and classifier design. It is composed with and discussed using the distance classifier that is based on euclidean distance the empirical Bayesian classifier. feature extraction is performed using the class-mean scatter criteria. The signal pattern classification method is applied to the signal pattern recognition of natural flaws.

Faults Detection Method Unrelated to Signal to Noise Ratio in a Hub Bearing (신호대 잡음비에 무관한 허브 베어링 결함 검출 방법)

  • Choi, Young-Chul;Kim, Yang-Hann;Ko, Eul-seok;Park, Choon-Su
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.12
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    • pp.1287-1294
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    • 2004
  • Hub bearings not only sustain the body of a cat, but permit wheels to rotate freely. Excessive radial or axial load and many other reasons can cause defects to be created and grown in each component. Therefore, nitration and noise from unwanted defects in outer-race, inner-race or ball elements of a Hub bearing are what we want to detect as early as possible. How early we can detect the faults has to do with how the detection algorithm finds the fault information from measured signal. Fortunately, the bearing signal has Periodic impulse train. This information allows us to find the faults regardless how much noise contaminates the signal. This paper shows the basic signal processing idea and experimental results that demonstrate how good the method is.