• 제목/요약/키워드: signal compression method

검색결과 263건 처리시간 0.031초

Optimal Selection of Wavelet Coefficients for Electrocardiograph Compression

  • Del Mar Elena, Maria;Quero, Jose Manuel;Borrego, Inmaculada
    • ETRI Journal
    • /
    • 제29권4호
    • /
    • pp.530-532
    • /
    • 2007
  • This paper presents a simple method to implement a complete on-line portable wireless holter including an electrocardiogram (ECG) monitoring, processing, and communication protocol. The proposed algorithm significantly reduces the hardware resources of threshold estimation for ECG compression, using the standard deviation updated with each new input signal sample. The new method achieves superior performance in terms of hardware complexity, channel occupation and memory requirements, while keeping the ECG quality at a clinically acceptable level.

  • PDF

Adaptive Sampling for ECG Detection Based on Compression Dictionary

  • Yuan, Zhongyun;Kim, Jong Hak;Cho, Jun Dong
    • JSTS:Journal of Semiconductor Technology and Science
    • /
    • 제13권6호
    • /
    • pp.608-616
    • /
    • 2013
  • This paper presents an adaptive sampling method for electrocardiogram (ECG) signal detection. First, by employing the strings matching process with compression dictionary, we recognize each segment of ECG with different characteristics. Then, based on the non-uniform sampling strategy, the sampling rate is determined adaptively. As the results of simulation indicated, our approach reconstructed the ECG signal at an optimized sampling rate with the guarantee of ECG integrity. Compared with the existing adaptive sampling technique, our approach acquires an ECG signal at a 30% lower sampling rate. Finally, the experiment exhibits its superiority in terms of energy efficiency and memory capacity performance.

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
    • /
    • 제19권5호
    • /
    • pp.45-50
    • /
    • 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.

Curvature Based ECG Signal Compression for Effective Communication on WPAN

  • Kim, Tae-Hun;Kim, Se-Yun;Kim, Jeong-Hong;Yun, Byoung-Ju;Park, Kil-Houm
    • Journal of Communications and Networks
    • /
    • 제14권1호
    • /
    • pp.21-26
    • /
    • 2012
  • As electrocardiogram (ECG) signals are generally sampled with a frequency of over 200 Hz, a method to compress diagnostic information without losing data is required to store and transmit them efficiently on a wireless personal area network (WPAN). In this paper, an ECG signal compression method for communications onWPAN, which uses feature points based on curvature, is proposed. The feature points of P, Q, R, S, and T waves, which are critical components of the ECG signal, have large curvature values compared to other vertexes. Thus, these vertexes were extracted with the proposed method, which uses local extrema of curvatures. Furthermore, in order to minimize reconstruction errors of the ECG signal, extra vertexes were added according to the iterative vertex selectionmethod. Through the experimental results on the ECG signals from Massachusetts Institute of Technology-Beth Israel hospital arrhythmia database, it was concluded that the vertexes selected by the proposed method preserved all feature points of the ECG signals. In addition, it was more efficient than the amplitude zone time epoch coding method.

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
    • /
    • 대한전자공학회 2006년도 하계종합학술대회
    • /
    • pp.343-344
    • /
    • 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.

  • PDF

The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression

  • Wang, Liping;Zhou, Xiao;Wang, Chengyou;Li, Weizhi
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제10권7호
    • /
    • pp.3245-3271
    • /
    • 2016
  • To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems. At first, this paper proposes a novel image dehazing method by using a new method of calculating the transmission function—namely, the direct denoising method. Next, we deduce the dehazing effects of the direct denoising method and image dehazing method based on dark channel prior (DCP) on image compression in terms of ringing artifacts and blocking artifacts. It can be concluded that the direct denoising method performs better than the DCP method for decompressed (reconstructed) images. We also improve the direct denoising method to obtain more desirable dehazed images with higher contrast, using the saliency map as the guidance image to modify the transmission function. Finally, we adjust the parameters of dehazing contrast-enhancement filters to obtain a corresponding composite peak signal-to-noise ratio (CPSNR) and blind image quality assessment (BIQA) of the decompressed images. Experimental results show that different filters have different effects on image compression. Moreover, our proposed dehazing method can strike a balance between image dehazing and image compression.

펄스압축 기술을 위한 chirp 신호의 최적대역폭 결정 (Determination of the Optimum-Bandwidth of Chirp-Signal for Pulse Compression Technique)

  • 고대식;문건
    • 한국음향학회지
    • /
    • 제16권2호
    • /
    • pp.5-9
    • /
    • 1997
  • 본 논문에서는 chirp 신호를 초음파 신호처리 시스템에 입력시킬 때 반사신호의 진폭을 최대로 얻기위한 chirp 신호의 대역폭을 결정하는 방법을 연구하였다. 초음파 신호처리 시스템에서 반사신호의 S/N 비는 초음파의 전파시에 발생하는 감쇠와 산란에 의하여 매우 낮게된다. Chirp 신호를 사용한 펄스 압축기술은 초음파 반사시스템의 S/N 비를 증가시킬 수 있는 방법중 하나이다. 시뮬레이션 및 실험결과, chirp 신호의 펄스폭이 넓을수록 출력이 증가하였고 동일한 펄스폭과 주어진 초음파시스템의 대역폭에 대한 최대출력은 chirp 신호의 대역폭이 초음파시스템의 대역폭 보다 1.15배 클 때 얻어짐을 확인하였다.

  • PDF

프랙탈 및 JPEG 영상 압축 알고리즘 성능 평가 (Performance Evaluation of a Fractal and JPEG Image Compression Algorithm)

  • 이정재
    • 한국컴퓨터정보학회논문지
    • /
    • 제3권4호
    • /
    • pp.97-102
    • /
    • 1998
  • 본 논문에서는 영상을 효과적으로 부호화하고 높은 압축률에서도 원 영상을 잘 복원할 수 있는 프랙탈 압축방법을 제안하였다. 주어진 SNR 허용오차에 대해 Fisher l)방법과본 논문에서 제안한 방법이 모든 문턱치에서 압축비가 기존의 방법보다 더 높음을 보여준다. 이 지역적인 반복함수계가 PIFS 정보기억용량을 레인지 블록당 48비트에서 40비트로 줄일수 있어 압축시간이 개선됨을 보인다.

  • PDF

선형판별분석을 이용한 전력분석 기법의 성능 향상 (The Enhanced Power Analysis Using Linear Discriminant Analysis)

  • 강지수;김희석;홍석희
    • 정보보호학회논문지
    • /
    • 제24권6호
    • /
    • pp.1055-1063
    • /
    • 2014
  • 전력소모량을 이용한 부채널 분석의 성능 향상을 위해 다양한 분석기법이 제안되고 있다. 이들 중, 사전처리 단계에서 적용 가능한 파형압축은 전력분석을 위한 소요시간을 단축하고 수집신호의 잡음성분을 줄이기 위해 널리 사용되는 방법이다. 본 논문에서는 영상처리 등에 많이 사용되고 있는 선형판별분석(Linear Discriminant Analysis)을 이용한 전력분석기법을 제안한다. 또한, 실험을 통해 기존의 파형압축방법 중 가장 성능이 좋은 것으로 알려진 주성분분석(Principal Component Analysis)을 이용한 방법과의 성능 비교를 통해 제안기법의 우수성을 증명한다.

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
    • /
    • 제3권1호
    • /
    • pp.33-40
    • /
    • 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.

  • PDF