• Title/Summary/Keyword: 신호추출

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3D Object Modeling for Laser Radar Simulation (레이저레이더 시뮬레이션을 위한 3차원 객체 모델링)

  • Kim, Geun-Han;Jun, Chul-Min
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.2
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    • pp.57-65
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    • 2008
  • The improvement of the performance in laser radar simulation requires fast retrievals of the spatial locations and attributes of objects in response to the laser signals of the simulators. Since the data used in simulation are complex 3D objects such as terrain, buildings and vehicles, and are of large sizes, commonly used 3D modeling tools are not suitable for this use. We proposed a method to store such 3D objects in a database, perform required queries and integrate with visualization tools. We showed the processes for the data modeling based on 3D topological concepts and then building a spatial DBMS. Also, we illustrated the process for accessing and visualizing the stored data using VRML and performed test computations using some laser signal data. With further enhancement on data modeling and LOD problems in visualization, the proposed method will be practically applied in different situations including laser simulation.

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Real-time passive millimeter wave image segmentation for concealed object detection (은닉 물체 검출을 위한 실시간 수동형 밀리미터파 영상 분할)

  • Lee, Dong-Su;Yeom, Seok-Won;Lee, Mun-Kyo;Jung, Sang-Won;Chang, Yu-Shin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.2C
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    • pp.181-187
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    • 2012
  • Millimeter wave (MMW) readily penetrates fabrics, thus it can be used to detect objects concealed under clothing. A passive MMW imaging system can operate as a stand-off type sensor that scans people in both indoors and outdoors. However, because of the diffraction limit and low signal level, the imaging system often suffers from low image quality. Therefore, suitable statistical analysis and computational processing would be required for automatic analysis of the images. In this paper, a real-time concealed object detection is addressed by means of the multi-level segmentation. The histogram of the image is modeled with a Gaussian mixture distribution, and hidden object areas are segmented by a multi-level scheme involving $k$-means, the expectation-maximization algorithm, and a decision rule. The complete algorithm has been implemented in C++ environments on a standard computer for a real-time process. Experimental and simulation results confirm that the implemented system can achieve the real-time detection of concealed objects.

Development of Audio Watermark Decoding Model Using Support Vector Machine (Support Vector Machine을 이용한 오디오 워터마크 디코딩 모델 개발)

  • Seo, Yejin;Cho, Sangjin
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.6
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    • pp.400-406
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    • 2014
  • This paper describes a robust watermark decoding model using a SVM(Support Vector Machine). First, the embedding process is performed inversely for a watermarked signal. And then the watermark is extracted using the proposed model. For SVM training of the proposed model, data are generated that are watermarks extracted from sounds containing watermarks by four different embedding schemes. BER(Bit Error Rate) values of the data are utilized to determine a threshold value employed to create training set. To evaluate the robustness, 14 attacks selected in StirMark, SMDI and STEP2000 benchmarking are applied. Consequently, the proposed model outperformed previous method in PSNR(Peak Signal to Noise Ratio) and BER. It is noticeable that the proposed method achieves BER 1% below in the case of PSNR greater than 10 dB.

Development and Verification of Digital EEG Signal Transmission Protocol (디지털 뇌파 전송 프로토콜 개발 및 검증)

  • Kim, Do-Hoon;Hwang, Kyu-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.7
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    • pp.623-629
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    • 2013
  • This paper presents the implementation result of the EEG(electroencephalogram) signal transmission protocol and its test platform. EEG measured by a dry-type electrode is directly converted into digital signal by ADC(analog-to-digital converter). Thereafter it is transferred DSP(digital signal processor) platform by $I^2C$(inter-integrated circuit) protocol. DSP conducts the pre-processing of EEG and extracts feature vectors of EEG. In this work, we implement the $I^2C$ protocol with 16 channels by using 10 or 12-bit ADC. In the implementation results, the overhead ratio for the 4 bytes data burst transmission measures 2.16 and the total data rates are 345.6 kbps and 414.72 kbps with 10-bit and 12-bit 1 ksps ADC, respectively. Therefore, in order to support a high speed mode of $I^2C$ for 400 kbps, it is required to use 16:1 and $(8:1){\times}2$ ratios for slave:master in 10-bit ADC and 12-bit ADC, respectively.

Enhanced segmentation method of a fingerprint image using run-length connectivity (Run-Length Connectivity를 이용한 지문영상의 영역분리 방법의 개선)

  • Park Jung-Ho;Song Jong-Kwan;Yoon Byung-Woo;Lee Myeong-Jin
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.4
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    • pp.249-255
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    • 2004
  • In fingerprint verification and identification, fingerprint and background region should be segmented. For this purpose, most systems obtain variance of brightness of X and Y direction using Sobel mask. To decide given local region is background or not, the variance is compared with a certain threshold. Although this method is simple, most fingerprint image does not separated with two region of fingerprint and background region. In this paper, we presented a new segmentation algorithm based on Run-Length Connectivity analysis. For a given binary image after thresholding, suggested algorithm calculates RL of X and Y direction. Until the given image is segmented to two regions, small run region is successively inverted. Experimental result show that this algorithm effectively separates fingerprint region and background region.

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An Efficient Video Clip Matching Algorithm Using the Cauchy Function (커쉬함수를 이용한 효율적인 비디오 클립 정합 알고리즘)

  • Kim Sang-Hyul
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.4
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    • pp.294-300
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    • 2004
  • According to the development of digital media technologies various algorithms for video clip matching have been proposed to match the video sequences efficiently. A large number of video search methods have focused on frame-wise query, whereas a relatively few algorithms have been presented for video clip matching or video shot matching. In this paper, we propose an efficient algorithm to index the video sequences and to retrieve the sequences for video clip query. To improve the accuracy and performance of video sequence matching, we employ the Cauchy function as a similarity measure between histograms of consecutive frames, which yields a high performance compared with conventional measures. The key frames extracted from segmented video shots can be used not only for video shot clustering but also for video sequence matching or browsing, where the key frame is defined by the frame that is significantly different from the previous frames. Experimental results with color video sequences show that the proposed method yields the high matching performance and accuracy with a low computational load compared with conventional algorithms.

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R-wave Detection Algorithm in ECG Signal Using Adaptive Refractory Period (ECG 신호에서 적응적 불응기를 이용한 R-wave 검출 알고리즘)

  • Kim, Jung-Joon;Kim, Jin-Sub;Park, Kil-Houm
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.5
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    • pp.242-250
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    • 2013
  • In this paper, R-wave detection algorithm using refractory period to reflect the depolarization and repolarization of the myocardial cells of the heart is proposed. The proposed algorithm detects R-peaks using the features of R-wave and variable refractory period. First, the proposed algorithm extracts candidate R-peaks that have a relatively high potential and calculates the refractory period based on the kurtosis and potential for candidate R-peaks. Next, R-peak is determined by morphological features of the R-wave within the refractory period. In addition, due to less computation in the proposed algorithm, real-time processing is possible. The algorithm is applied to all records of the MIT-BIH arrhythmia database and the obtained results show a competitive detection rate of over 99.7%.

Design of Coupling and Rectifying Circuit for Monitoring of Transmitting Power of Maritime VHF Modem (해상 VHF 모뎀의 송신전력 모니터링을 위한 결합기 및 정류회로 설계)

  • Kim, Seung-Geun;Sung, So-Young;Lim, Young-Kon;Park, Dong-Kook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.12
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    • pp.2642-2648
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    • 2010
  • The design of coupling and rectifying circuits for the maritime VHF digital modem is investigated in this paper. To monitor the transmitting power of the modem, a directional coupler which is used to extract a small fraction of the transmitter signal power, and a rectifying circuit which make DC voltage proportional to the coupled rf power are designed and fabricated. The parallel-coupled line coupler with directivity of above 25 dB at 160 MHz bands is designed and it is shown that the output voltage of the rectifying circuit is linearly changing from 0.85 V to 1.6 V when the transmitting power of the modem is varying from 1 W to 25 W. The proposed coupler and rectifying circuits are expected to be suitable for maritime VHF digital modem.

Beamforming based RFID System for Moving Target Tagging (이동 물체의 태깅을 위한 디지털 빔포밍 기반 RFID 시스템)

  • Jeon, Seong-Ha;Jeon, Hyeon-Moo;Shin, Seong-Gwan;Sohn, Chae-Bong;Yang, Hoon-Gee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1713-1720
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    • 2014
  • RFID technology has evolved from basic operation like the acquisition of tag IDs into a more complicated operation such as the simultaneous acquisition of tag IDs and their positions and recently, is raising the possibility of obtaining additional informations, which include their velocities, directions and distances. In this paper, we present a RFID system that can fullfil aforementioned advanced functions. In the proposed system, a tag transmits a sequence of FMCW pulses modulated by ID signals and a reader separates the tag signals in azimuth direction using an array antenna, followed by the FMCW demodulation from which distances, velocities as well as the tag IDs are extracted. We propose a receiver structure of the reader and theoretically analyze its operability. Moreover, its performance is examined by simulation.

Implement a ripple Compensation filter in wideband system using high order modulation (고차변조방식을 사용하는 광대역 시스템에서 평탄도(Ripple) 보상 필터 구현)

  • Yun, Byeong-Su;Park, Chang-Soo;Lee, Deok-Hwan;Kim, Jong-Hyoun;Lee, Jung-Yong;Jin, Seon-Hoo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.470-473
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    • 2018
  • Using High-order Modulation in wideband system is sensitive to change of wireless channel environment as well as changes in ripple characteristics that can occur when baseband signals pass through RF equipment. Therefore, it is necessary to design and RF tuning that minimizes ripple characteristics change, which is difficult to implement systematically and takes a long time. In this paper, we analyze the fixed ripple characteristics of the baseband signal distored through the RF transmitting and receiving equipment. And the function of compensating the compensation filter by the modem receiver is implemented in 256 TCM. Also, it is confirmed that SNR and received sensitivity are improved by applying a digital compensation filter in a channel with poor RF equipment ripple characteristics.

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