• 한국해양공학회지
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• 제11권3호
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• pp.163-169
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• 1997

The simulation of target-scattered echo with the moving sonar platform and target in 3-dimensional ocean environment is essential to validate and evaluate the performance of a sonar system. This paper presents the improved target signal simulation on the basis of the highlight(HL) model and its realtime algorithm. In order to simulate the scattering highlight, the highlight is represented as a directional scatterer. The realtime generation algorithm of the target signal is realized by use of DSP chip, TMS320C40, where the 40 channels are equally separated to form a parallel processing task in 4 processors. The presented realtime-version of target signal simulation can be used as a target signal simulator in the development of ACM(Acoustic Counter Measure) and advanced sonar signal processing techniques.

• 비파괴검사학회지
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• 제32권5호
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• pp.540-544
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• 2012

위상배열 기술에 기반을 둔 통상의 초음파검사에서처럼, 자왜형 원거리 초음파검사에서도 실시간 수신신호 처리를 위해 복잡한 전자회로들을 사용하여왔다. 본 연구는 위상 보상, 노이즈 필터링, 파형 변환 등과 같은 필수적인 작업들을 기존의 하드웨어 접근보다는 소프트웨어 접근을 이용하여 수행할 때, 보다 유연하고 효율적인 실시간 신호처리가 가능해진다는 것을 보여준다. 이는 비용효율적인 원거리 초음파검사 시스템 구축과 검사 결과 분석에 기여할 것이다.

• 한국전자파학회논문지
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• 제25권11호
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• pp.1135-1141
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• 2014

넓은 동적 범위와 고속 샘플링률로 신호를 양자화하면서 실시간으로 광대역 DDC를 수행하는 일은 시간 소모가 크기때문에 주로 하드웨어인 FPGA나 ASIC에서 구현이 되어 왔다. 실시간 광대역 소프트웨어 DDC는 신호 환경이 바뀌어도 유연하게 대처할 수 있으며, 재사용이 가능하다. 또한, 하드웨어보다 가격이 저렴한 장점을 가지고 있다. 본 논문에서는 광대역 DDC를 소프트웨어 기반으로 고속의 병렬처리 구조로 설계하여, 실시간으로 저장 가능한 시스템 설계에 대해 연구하였다. 마지막으로 신호를 실시간으로 수신하기 위한 핑퐁버퍼링 기법과 고속신호처리를 위한 CUDA를 적용하여 신호처리 규격을 만족하는 광대역 DDC 설계 과정을 검증하였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1227-1230
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• 1998

Phase control methods are used to expand the sound image in general AV system. However, these methods are effective only to the signal under 1kHz, and the listener must be located in front center of the speaker system. In this paper, we realize the realtime processing system in which phase shifting method is dominant at low frequency and precedence effect is dominant at high frequency. Two sound cards are used to process the audio signal in realtime with 16 bits stereo channel of 44.1 kHz sampling frequency. And the analog circuit is designed to process the phase shifting. In experiments the usefulness of the proposed stereo system is confirmed.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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• pp.110-113
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• 2003

In this paper, the multi-channel high speed data acquisition system is implemented. This high speed signal processing system for 3-D image display is applicable to the manipulation of a medical image processing, multimedia data and various fields of digital image processing. In order to convert the analog signal into digital one, A/D conversion circuit is designed. PCI interface method is designed and implemented, which is capable of transmission a large amount of data to computer. In order to, especially, channel extendibility of images acquisition, bus communication method is selected. By using this bus method, we can interface each module effectively. In this paper, 32-channel A/D conversion and PCI interface system for 3-dimensional and real-time display of the retina image is developed. The 32-channel image acquisition system and high speed data transmission system developed in this paper is applicable to not only medical image processing as 3-D representation of retina image but also various fields of industrial image processing in which the multi-point realtime image acquisition system is needed.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.33-40
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• 2016

Previous works for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods require accurate detection of ECG signal, higher computational cost and larger processing time. But it is difficult to analyze the ECG signal because of various noise types. Also in the healthcare system based IOT that must continuously monitor people's situation, it is necessary to process ECG signal in realtime. Therefore it is necessary to design efficient algorithm that classifies different arrhythmia in realtime and decreases computational cost by extrating minimal feature. In this paper, we propose R wave detection considering complexity and arrhythmia classification based on binary coding. For this purpose, we detected R wave through SOM and then RR interval from noise-free ECG signal through the preprocessing method. Also, we classified arrhythmia in realtime by converting threshold variability of feature to binary code. R wave detection and PVC, PAC, Normal classification is evaluated by using 39 record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.41%, 97.18%, 94.14%, 99.83% in R wave, PVC, PAC, Normal.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 추계종합학술대회논문집
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• pp.37-40
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• 2000

본 논문에서는 멀티미디어 트래픽을 수용하는 초고속 위성중계망에 적합한 이동 경계 방식의 프레임 구조를 제시하고 수학적 모델링을 통해 성능을 검증하였다. 시뮬레이션 결과 제안한 프레임 구조가 비실시간 사용자의 트래픽을 포함하여 멀티미디어 트래픽을 수용하기에 적합하다는 것을 알 수 있었다.

• ETRI Journal
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• 제34권2호
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• pp.256-259
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• 2012

The double-base number system has been used in digital signal processing systems for over a decade because of its fast inner product operation and low hardware complexity. This letter proposes an innovative multiplier architecture using hybrid operands. The multiplier can easily be linked to flash analog-to-digital converters or digital systems through a double-base number encoder (DBNE) for realtime signal processing. The design of the DBNE and the multiplier enable faster digital signal processing and require less hardware resources compared to the binary processing method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.727-729
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• 1999

We have developed a realtime phonetic typewriter implemented on IBM PC with sound card based on Windows 95. In this system, analyzing of speech signal, learning of neural network, labeling of output neurons and visualizing of recognition results are performed on realtime. The developing environment for speech processing is established by adding various functions, such as editing, saving, loading of speech data and 3-D or gray level displaying of spectrogram. Recognition experimental using Korean phone had a 71.42% for 13 basic consonant and 90.01% for 7 basic vowel accuracy.

• 센서학회지
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• 제23권1호
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• pp.7-14
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• 2014

Noncontact electrocardiogram (ECG) measurement using capacitive-coupled technique is a very reliable long-term noninvasive health-care remote monitoring system. It can be used continuously without interrupting the daily activities of the user and is one of the most promising developments in health-care technology. However, ECG signal is a very small electric signal. A robust system is needed to separate the clean ECG signal from noise in the measurement environment. Noise may come from many sources around the system, for example, bad contact between the sensor and body, common-mode electrical noise, movement artifacts, and triboelectric effect. Thus, in this paper, the extended Kalman filter (EKF) is applied to denoise a real-time ECG signal in capacitive-coupled sensors. The ECG signal becomes highly stable and noise-free by combining the common analog signal processing and the digital EKF in the processing step. Furthermore, to achieve ubiquitous monitoring, android-based application is developed to process the heart rate in a realtime ECG measurement.