• The Magazine of the IEIE
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• v.38 no.1
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• pp.50-55
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• 2011

초음파 시스템은 진단 영상뿐만 아니라 초음파 수술과 같이 초음파를 사용하여 특정 세포를 제거하거나, 또는 일반적인 수술을 위한 가이드 영상을 제공하는 등 그 활용이 증가되고 있다. 반면, 기존 초음파 시스템은 크기가 커서 클리닉 센터나 종합병원 등에서 이동성 및 공간 효율성이 낮고 환자에 관한 주치의들의 진단 활동 반경이 매우 제한적이라는 불편함을 초래한다. 본 논문은 서버 클라이언트 기반의 무선 초음파 진단 시스템에서 프루브가 수신한 초음파 반사 신호를 무선으로 실시간 전송하기 위해서 압축센싱과 산술 부호의 연접을 통한 손실 압축 알고리즘을 제안한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.5
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• pp.32-39
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• 2009

Compressed Sensing is a method to sample analog signals at a rate under the Nyquist rate. With this scheme, it is possible to represent signals with a relatively smaller number of measurements than that of the conventional sampling method, and the original signals are reconstructed with high probability from the acquired measurements using the linear programming. Compressed sensing allows measurement time and/or the amount of ADC (analog-to-digital converter) resources for the signal acquisitions to be reduced. In this paper, we presents the backgrounds of the compressed sensing, a way to acquire measurements from an analog signal with a random basis, and the signal recovery method. Also we introduce applications of compressed sensing in wireless communications.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.15-21
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• 2010

In the recent years, various researches about the signal processing have been presented to improve the performance of power analysis. Among these signal processing techniques, the research about the signal compression is not enough than a signal alignment and a noise reduction; even though that can reduce considerably the computation time for the power analysis. But, the existing compression method can sometimes reduce the performance of the power analysis because those are the unsophisticated method not considering the characteristic of the signal. In this paper, we propose the new PCA (principal component analysis)-based signal compression method, which can block the loss of the meaningful factor of the original signal as much as possible, considering the characteristic of the signal. Also, we prove the performance of our method by carrying out the experiment.

• The Journal of the Acoustical Society of Korea
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• v.37 no.1
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• pp.39-45
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• 2018

Compressive sensing allows recovering an original signal which has a small dimension of the signal compared to the dimension of the entire signal in a short period of time through a small number of observations. In this paper, we proposed a method for detecting tonal signal which caused by the machinery component of a vessel such as an engine, gearbox, and support elements. The tonal signal can be modeled as the sparse signal in the frequency domain when it compares to whole spectrum range. Thus, the target tonal signal can be estimated by S-OMP (Simultaneous-Orthogonal Matching Pursuit) which is one of the sparse signal recovery algorithms. In simulation section, we showed that S-OMP algorithm estimated more precise frequencies than the conventional FFT (Fast Fourier Transform) thresholding algorithm in low SNR (Signal to Noise Ratio) region.

• Journal of the Korean GEO-environmental Society
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• v.19 no.8
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• pp.5-10
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• 2018

This study provides a method to assess the compressive strength of granitic gneiss using total sound signal energy, which is calculated from the signal of sound pressure measured when an object impacts on rock surface, and its results. For this purpose, many test specimens of granitic gneiss were prepared. Each specimen was impacted using a devised device (impacting a specimen by an initial rotating free falling and following repetitive rebound actions) and all sound pressures were measured as a signal over time. The sound signal was accumulated over time (called total sound signal energy) for each specimen of granitic gneiss and it was compared with the directly measured compressive strength of the specimen. The comparison showed that the total sound signal energy was directly proportional to the measured compressive strength, and with this result the compressive strength of granitic gneiss can be reliably assessed by an estimation equation of total sound signal energy. Furthermore, from the study results it is clearly believed that the compressive strength of other rocks and concrete can be assessed nondestructively using the total sound signal energy.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.155-162
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• 2013

The conventional block-based compressed sensing uses a fixed block size for signal reconstruction, and the reconstructed signal is degraded because the block size suitable to the signal characteristics is not used. To solve this problem, in this paper, a variable block size method for compressed sensing is proposed that estimates the signal characteristics and selects a proper block size for each frame, thereby improving the quality of the reconstructed signal. The proposed method reconstructs the signal with different block sizes, analyzes the signal characteristics using correlation coefficients for each frame, and select the block size for the frame. It is confirmed that, with the same acquired data, the proposed method reconstructs the signal of higher quality than the conventional fixed block size method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.43-46
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• 2015

Recently, full-duplex communications has been considered as one of the most promising techniques for net-generation mobile communication system. In this paper, we propose a compressed sensing based signal detection technique for full-duplex generalized spatial modulation (FD-GSM) systems. In FD-GSM systems, some antennas are used for signal transmission according to input data and the otehrs are used for detecting signals received over the same frequency band. The self-interference (SI) is assumed to be completely removed by help for the recently proposed SI cancellation techniques. The proposed signal detection technique significantly outperforms the conventional ones in terms of symbol error rate (SER). We will investigate the optimal number of used antennas in FD-GSM systems.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2005.11a
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• pp.238-241
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• 2005

디지털 미디어 기술의 발전은 코딩 분야를 비롯하여 다양하게 발전하고 있다. 특히 오디오 신호 처리 분야에서는 디지털 오디오 신호의 생성, 압축, 복원의 단계가 다양한 형태로 개발되고 있다. 오디오 신호 처리에서 인간의 청각 기관을 모델링한 심리음향 기법은 이용하여 압축뿐만 아니라 잡음 신호의 개선에서도 효과적으로 이용되고 있다. 이러한 심리음향모델을 기반으로 하여 구성된 적응지각필터는 지각필터를 이용하여 적응적으로 잡음에 열화된 신호를 개선한다. 이때, 적응지각필터 반복 수행 계수의 효과적인 결절은 오디오 신호의 청각적 손실을 줄이는 동시에 정확한 잡음 제거를 수행한다. 성능을 확인하기 위해서 SNR 및 NMR 비교를 수행하였다.

• Journal of Broadcast Engineering
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• v.15 no.4
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• pp.527-539
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• 2010

Most video coding systems use YCbCr color space for their inputs, but RGB space is more preferred in the field of high fidelity video because the compression gain from YCbCr becomes disappeared in the high quality operation region. In order to improve the coding performance of RGB video signal, this paper presents an adaptive frequency-selective weighted prediction algorithm. Based on the sign agreement and the strength of frequency-domain correlation of residual color planes, the proposed scheme adaptively selects the frequency elements as well as the corresponding prediction weights for better utilization of inter-plane correlation of RGB signal. Experimental results showed that the proposed algorithm improves the coding gain of around 13% bitrate reduction, on average, compared to the common mode of 4:4:4 video coding in the state-of-the-art video compression standard, H.264/AVC.

• Journal of Broadcast Engineering
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• v.1 no.2
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• pp.108-117
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• 1996

In this paper we propose a Wavelet- based compression algorithm of HDTV video signals for the purpose of recording HDTV signals in the digital VTR. Comparing to the DCT- based compression method, which only yields unrecognizable DCT coefficients, the low frequency components of Wavelet coefficients maintain recognizable spatial domain information. So, it is more suitable for various VTR operations such as editing and multi-speed mode operations. Also, the adopted Wavelet filter can be Implemented with simple shift operations, which can reduce the computational complexities substantially. The quality of reconstructed HDTV signals with a 4:1 compression ratio turns out to be good enough for the studio use.