• 제목/요약/키워드: Signal Compression

검색결과 559건 처리시간 0.034초

레이더 펄스 압축 기술의 Barker Code에 관한 연구 (A Study on Barker Code of Radar Pulse Compression Technique)

  • 김민수;구융서;이영철
    • 한국전자통신학회논문지
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    • 제8권4호
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    • pp.541-547
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    • 2013
  • 레이더에서 거리분해능은 정확한 목표물 구분을 위해 판단하는 중요한 성능 파라미터이다. 기존의 아날로그 방식의 레이더시스템의 한계를 극복하기 위해, 현대 레이더 시스템 설계 목표는 적은 전송전력으로 거리분해능을 향상시키는 것으로 펄스압축기술에 대한 연구가 활발히 이루어지고 있다. 수신단에서 목표물 구분을 위해 펄스압축기술에 사용되는 송신신호의 변조방식은 크게 FM방식과 PM방식으로 나뉠 수 있다. 본 논문에서는 PM방식인 Barker Code를 이용하여 펄스압축 신호처리모듈을 구현하고 분석하였다.

u-헬스 센서 네트워크 시스템의 생체신호 압축 처리 (Application of Biosignal Data Compression for u-Health Sensor Network System)

  • 이용규;박지호;윤길원
    • 센서학회지
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    • 제21권5호
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    • pp.352-358
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    • 2012
  • A sensor network system can be an efficient tool for healthcare telemetry for multiple users due to its power efficiency. One drawback is its limited data size. This paper proposed a real-time application of data compression/decompression method in u-Health monitoring system in order to improve the network efficiency. Our high priority was given to maintain a high quality of signal reconstruction since it is important to receive undistorted waveform. Our method consisted of down sampling coding and differential Huffman coding. Down sampling was applied based on the Nyquist-Shannon sampling theorem and signal amplitude was taken into account to increase compression rate in the differential Huffman coding. Our method was successfully tested in a ZigBee and WLAN dual network. Electrocardiogram (ECG) had an average compression ratio of 3.99 : 1 with 0.24% percentage root mean square difference (PRD). Photoplethysmogram (PPG) showed an average CR of 37.99 : 1 with 0.16% PRD. Our method produced an outstanding PRD compared to other previous reports.

모터링시 전류 파형과 크랭크각 센서를 이용한 기관의 압축압력 및 밸브 타이밍 분석 (Analysis of Cylinder Compression Pressure & Valve Timing by Motoring Current & Crank Signal during Cranking)

  • 김인태;박경석;심범주
    • 한국자동차공학회논문집
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    • 제19권5호
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    • pp.45-50
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    • 2011
  • Compression pressure of individual cylinder and valve timing have big influence on combustion pressure, indicated mean effective pressure (IMEP), emission, vibration, combustion noise and many other combustion parameters. Conventional method, however, to check compression pressure uniformity is done by mechanical pressure gage and valve timing is checked manually. This conventional method causes inaccuracy of cylinder pressure measurement because of different cranking speed results from battery status and temperature. Also to check valve timing, related FEAD parts should be disassembled and timing mark should be checked. This study describes and suggests new methodology to measure compression pressure by analysis of start motor current and to check valve timing by cylinder pressure with high accuracy. Results, it is found that detection of bulky as well as small leaky cylinder is possible by cranking motor current analysis and wrong valve timing can be detected by cylinder pressure analysis and cam and crank sensor signal.

기상레이더 반사도 자료의 계층적 압축 기법 (Hierarchical Compression Technique for Reflectivity Data of Weather Radar)

  • 장봉주;이건행;임상훈;권기룡
    • 한국멀티미디어학회논문지
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    • 제18권7호
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    • pp.793-805
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    • 2015
  • Nowadays the amount of data obtained from advanced weather radars is growing to provide higher spatio-temporal resolution. Accordingly radar data compression is important to use limited network bandwidth and storage effectively. In this paper, we proposed a hierarchical compression method for weather radar data having high spatio-temporal resolution. The method is applied to radar reflectivity and evaluated in aspects of accuracy of quantitative rainfall intensity. The technique provides three compression levels from only 1 compressed stream for three radar user groups-signal processor, quality controller, weather analyst. Experimental results show that the method has maximum 13% and minimum 33% of compression rates, and outperforms 25% higher than general compression technique such as gzip.

A Novel Transmission Scheme for Compressed Health Data Using ISO/IEEE11073-20601

  • Kim, Sang-Kon;Kim, Tae-Kon;Lee, Hyungkeun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권12호
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    • pp.5855-5877
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    • 2017
  • In view of personal health and disease management based on cost effective healthcare services, there is a growing need for real-time monitoring services. The electrocardiogram (ECG) signal is one of the most important of health information and real-time monitoring of the ECG can provide an efficient way to cope with emergency situations, as well as assist in everyday health care. In this system, it is essential to continuously collect and transmit large amount of ECG data within a given time and provide maximum user convenience at the same time. When considering limited wireless capacity and unstable channel conditions, appropriate signal processing and transmission techniques such as compression are required. However, ISO/IEEE 11073 standards for interoperability between personal health devices cannot properly support compressed data transmission. Therefore, in the present study, the problems for handling compressed data are specified and new extended agent and manager are proposed to address the problems while maintaining compatibility with existing devices. Extended devices have two PM-stores enabling compression and a novel transmission scheme. A variety of compression techniques can be applied; in this paper, discrete cosine transformation (DCT) is used. And the priority of information after DCT compression enables new transmission techniques for performance improvement. The performance of the compressed signal and the original uncompressed signal transmitted over the noisy channel are compared in terms of percent root mean square difference (PRD) using our simulation results. Our transmission scheme shows a better performance and complies with 11073 standards.

영역 성장 분할 기법을 이용한 무손실 영상 압축 (Region-Growing Segmentation Algorithm for Rossless Image Compression to High-Resolution Medical Image)

  • 박정선;김길중;전계록
    • 융합신호처리학회논문지
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    • 제3권1호
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    • pp.33-40
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    • 2002
  • 본 연구에서는 의료영상 저장 및 전송 시스템에 필수적인 무손실 의료영상 압축 기법을 제안하였다. 의료영상은 방사선 영상 중에서 유방영상(mammography)과 자기공명영상을 사용하였으며, 이들 영상을 무손실로 압축하기 위하여 영역성장에 의한 영상분할 알고리듬을 제안하였다. 제안된 알고리듬은 원 영상이 에러 영상과 불연속 계수 영상, 그리고 상위 비트 데이터 등 세 가지의 부 영역으로 분할되도록 하였다. 그리고 영역성장 과정 후 생성된 불연속 계수 영상 데이터와 에러 영상을 국제 이진영상압축 표준이며 그레이코드(graycode)화된 영상의 압축에 적합한 JBIG(Joint Bi-level Image expert Group) 알고리듬을 이용하여 압축시켰다. 제안한 알고리듬과 타 연구에서 사용된 기법들을 비교 검토 한 결과 제안한 무손실 압축 기법을 적용하여 얻어지는 압축율은 JBIG, JPEG, LZ 기법에 비해 평균적으로 각각 3.7%, 7.9%, 23.6% 정도 개선됨을 알 수 있었다.

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적응 프랙탈 보간을 이용한 심전도 데이터 압축 (ECG Data Compression Using Adaptive Fractal Interpolation)

  • 전영일;윤영로
    • 대한의용생체공학회:의공학회지
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    • 제17권1호
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    • pp.121-128
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    • 1996
  • 본 논문은 심전도 데이터 압축을 위해 적응 프랙탈 보간(AFI)알고리듬 방법을 제안한다. 기존의 분할 프랙탈 보간(PFI) 알고리듬은 고정된 크기의 정의역 블럭을 사용한다. 따라서 그 재생오차가 원래의 심전도 신호의 특정 부분에 집중된다. 이 문제를 해결하기 위해 적응 프랙탈 보간 알고리듬에서는 가변 정의역 블럭을 사용한다. 만약 미리 정한 허용오차가 만족되지 않으면 정의역 블럭은 두개의 더 작은 정의역 블럭들로 나뉘어지게 된다. 큰 정의역 블럭들은 높은 압축 효율을 얻기 위해 굴곡이 적은 파형을 부호화 하는데 사용되고, 더 작은 정의역 블럭들은 신호의 질을 유지하기 위해 급격히 변화하는 파형을 부호화 하는데 사용된다. 제안된 알고리즘은 MIT/BIH 데이터베이스를 사용하여 평가되었다. AFI알고리듬은 주어진 압축률에서 기존의 PFI알고리듬보다 상대적으로 적은 재생 오차를 나타냈다. 약 7.13% 정도의 실효치 차이가 허용되는 응용에서, AFI알고리듬은 매개변수들에 대한 엔트로피 코딩 없이 10.51 이상의 압축률을 얻을 수 있었다.

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두 성분을 이용한 전력품질 신호의 압축 및 복구 (Power Quality Signal Compression and Restoration based on Two Component)

  • 정영식;김철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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    • pp.125-126
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    • 2006
  • Data storage and data communication currently pose a major problems for all parties involved with power quality and power system monitoring. The Problem aries from the tremendous amount of data involved. There is a common desire in the power industry to find new techniques for high-accuracy data compression and data storage. This paper introduces a data compression technique that is very suitable for application to power quality waveforms. The proposed technique is applied in splitting the monitored signal into two components. Those are stationary and nonstationary components. Each component is compressed and encoded.

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다단계 벡터 양자화를 이용한 웨이브렛 기반 생체 신호 압축 (Wavelet-based Biomedical Signal Compression Using a Multi-stage Vector Quantization)

  • 박서영;김영주;이인성
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.343-344
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    • 2006
  • In this paper, the biomedical signal compression method with multi-stage vector quantization is proposed. It utilizes characteristic of wavelet coefficients in which the energy is concentrated on approximation coefficients. The transmitted codebook index consists code vectors obtained by wavelet coefficients of ECG and Error signals from the 1024 block length, respectively. The proposed compression method showed 2.1298% in average PRD and 1.8 kbits/sec in CDR.

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9/7텝을 갖는 정수 웨이브릿 변환을 이용한 무손실 정지영상 압축 (A Lossless Image Compression using Wavelet Transform with 9/7 Integer Coefficient Filter Bank)

  • 추형석;서영천;이태호;전희성;안종구
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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    • pp.253-256
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    • 2000
  • In this paper, we propose the lossless image compression algorithm using the integer wavelet transform. Recently, the S+P transform is widely used and computed with only integer addition and bit-shift operations, but not proper to remove the correlation of smooth images. then we compare the Harr wavelet of the S+P transform with various integer coefficient filter banks and apply 9/7 ICFB to the wavelet transform. In addition, we propose a entropy-coding method that exploits the multiresolution structure and the feedback of the prediction error, and can efficiently compress the transformed image for progressive transmission. Simulation results are compared to the compression ratio using the S+P transform with different types of images.

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