• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.285-292
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• 2007

SoC which deploys software modules as well as hardware IPs on a single chip is a major revolution taking place in the implementation of a system design, and high-level synthesis is an important process of SoC design methodology. Recently, SPARK parallelizing high-level synthesis software tool has been developed. It takes a behavioral ANSI-C code as an input, schedules it using code motion and various code transformations, and then finally generates synthesizable RTL VHDL code. Although SPARK employs various loop transformation algorithms, the synthesis results generated by SPARK are not acceptable for basic signal and image processing algorithms with nested loop. In this paper we propose a SoC platform with an application-specific PLD targeting local operations which are feature of many loop algorithms used in signal and image processing, and demonstrate design process which maps behavioral specification with nested loops written in a high-level language (ANSI-C) onto 2D systolic array. Finally the derived systolic array is implemented on the proposed application-specific PLD of SoC platform.

• The Journal of the Acoustical Society of Korea
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• v.20 no.7
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• pp.94-100
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• 2001

When using a sample covariance matrix data in paucity of snapshots, adaptive matched field processing will have problem in inverting covariance matrix due to the rank deficiency. The general solutions are diagonal loading and eigenanalysis methods, but there is a significant bias in the power output. This paper presents a quantitative study of bias of power output and the performance of source localization through the simulation and the measured data analysis in fixed source case using the diagonal loading method for the minimum variance processor. Results show that the bias in power output is reduced and the performance of source localization is improved when the number of snapshots is greater than the number of array sensors.

• Journal of Korea Multimedia Society
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• v.8 no.3
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• pp.328-335
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• 2005

This paper proposes a frequency domain independent component analysis (ICA) algorithm to separate the mixed speech signals using a multiple microphone array By estimating the delay timings using a input cross-correlation, even in the delayed mixture case, we propose a good initial value setting method which leads to optimal convergence. To reduce the calculation, separation process is performed at frequency domain. The results of simulations confirms the better performances of the proposed algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.499-505
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• 2018

Shipping and logistics safety, security system is strengthening worldwide, the development of shipping and logistics safety security core technology for national security logistics system construction has been carried out. In addition, it is necessary to localize the Array Detection System, which is a core component of the container search machine, to cope with the 100% pre-inspection of the container scheduled for 2018 in the United States. In this research, we propose a test software program developed by using TI-RTOS (Texas Instruments - Real Time Operating System) with a test digital signal processing board which is developed self development. We have developed a program that can test GPIO, SRAM, TCP/IP, and SDcard using M4 MCU. Also we propose a study on a self-developed Digital Signal Processing Board among the array detection systems that replace foreign products. We have developed a test board that can test M4 MCU and developed an X-Ray Detector Digital Signal Processing Board that combines MCU and FPGA.

• Journal of the Korean Society for Nondestructive Testing
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• v.20 no.6
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• pp.521-537
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• 2000

Ultrasonic imaging is the most widely used modality among modern imaging device for medical diagnosis and the system performance has been improved dramatically since early 90's due to the rapid advances in DSP performance and VLSI technology that made it possible to employ more sophisticated algorithms. This paper describes "main stream" digital signal processing functions along with the associated implementation considerations in modern medical ultrasound imaging systems. Topics covered include signal processing methods for resolution improvement, ultrasound imaging system architectures, roles and necessity of the applications of DSP and VLSI technology in the development of the medical ultrasound imaging systems, and array signal processing techniques for ultrasound focusing.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.1
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• pp.13-17
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• 2004

In order to measure the retina thickness, the retina photographing system and the multi-channel high speed image data acquisition system is developed. This system requires the optical processing techniques and the high speed image processing techniques. The HeNe laser beam is projected the retina in artificial eye and then we sensed the reflected laser signal using APD array. The laser projection system on retina using optical instruments is implemented. In order to project the plane laser beam on retina, laser photographing system used the polygon mirror for horizontal scanning and the galvano mirror for vertical scanning. We acquired retina images in each channel of APD array, transferred computer using PCI interface the image data after real-time A/D converting.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1297-1303
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• 2003

This paper propose an advanced circuit for fingerprint sensor signal processing. We increased the voltage between ridge and valley by modifying the parasitic capacitance eliminating circuit of sensor plate. The analog comparator was designed for comparing the sensor signal voltage with the reference signal voltage. We also propose an effective isolation strategy for removing noise and signal coupling, ESD of each sensor pixel. The 128${\times}$l44 pixel fingerprint sensor circuit was designed and simulated, and the layout was performed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.139-146
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• 2009

Parametric array for audio applications is analyzed by numerical modeling and analytical approximation. The nonlinear wave equations are used to provide design guidelines for the audio parametric array. A time domain finite difference code that accurately solves the KZK (Khokhlov-Zabolotskaya-Kuznetsov) nonlinear parabolic wave equation is used to predict the response of the parametric array. The time domain code relates the source size and the carrier frequency to the audible signal response including the output level and beamwidth to considering the implementation issues for audio applications of the parametric array, the emphasis is given to the frequency response and distortion. We use the time domain code to find out the optimal parameters that will help produce the parametric array with highest achievable output in terms of the average power within the demodulated signal. Parameters such as primary input frequency, audio source radius and the modulation method are given utmost importance. The output effect of those parameters are demonstrated through the numerical simulation.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.63-63
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• 2004

기계류는 대개 부정형의 형상을 지니고 있으며, 또 표면이 모두 연결되어 있으므로, 진동하는 물체 표면상에서의 소음원 특성을 세밀히 파악하는 일은 매우 어려운 일이다. 음향 인텐시티나 공간 푸리에 변환을 이용하는 홀로그래피 기법 등의 어레이 마이크에 의한 기법들이 제안되었고 또 활용되고 있으나, 이는 어디까지나 음원에서 가까운 음장을 가상적인 음원면이라 보고 재구성하는 것이어서 실제 음원의 특성을 파악하는데 어려움이 있다. 이러한 문제점을 해결하기 위해 음원표면을 경계요소화 모델링을 하고, 어레이 마이크로 측정될 음장의 지점과 표면간의 관계를 수학적으로 정리한 후, 마이크에서 측정된 신호를 이용해 역으로 경계요소해석 계산을 수행하여 음원 특성을 파악하는 기법이 제안되었다. 본 발표에 있어서는 이와 같은 취지에서 ‘개발된 Inverse BEM을 이용한 NAH 기법’에 관한 개괄적인 내용을 설명하고, 그 적용 가능성 및 이 기법의 미래에 대해 설명하며, 다음과 같은 내용의 순서대로 설명된다: $\textbullet$ 각종 음원 파악 기법들의 특성과 이 방법이 필요한 이유 $\textbullet$일반 음향 holography 기법 (STSF)과의 차이점 $\textbullet$ 이론적 배경 개괄 $\textbullet$ 실제 적용 순서에 따른 방법의 설명 $\textbullet$ 후처리 결과물 $\textbullet$ 본 기법의 향후 과제 및 적용 방법의 개선

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2005.11a
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• pp.361-364
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• 2005

우리의 삶과 환경에 많은 영향을 주는 냄새들을 해석하고 이들을 감지하는 후각기관에 대한 이해는 많은 연구자들의 오랜 소망 이였다. 최근 전자 공학 및 컴퓨터 기술의 눈부신 발전에 힘입어 인간의 감각을 모방하는 전자코 시스템의 개발이 활발하게 추진되고 있다. 특히 인공지능 연구와 맞물린 센서기술의 비약적인 발전은 냄새를 인간의 후각기관과 비슷하게 감지하고 분석할 수 있는 인공 후각인식시스템의 개발을 가능하게 하고 있다. 하지만 현재 전자코 시스템은 습도와 온도에 민감하고 시료를 분석하기 위해 긴 응답시간이 필요하므로 연구소와 같이 제한적인 환경에서 사용되고 잇다. 이에 본 연구는 10초 내외의 짧은 시간에 인식이 가능한 전자코 시스템을 제작하고자 하였다.