• Proceedings of the Acoustical Society of Korea Conference
• /
• autumn
• /
• pp.93-96
• /
• 2000

수중 폭발성 음원(SUS)을 이용한 천해 저주파 잔향음 실험을 97년 제주 해역에서 실시하였다 측정된 신호를 고유음선 정보를 이용하여 시간영역에서 잡음, 반사, 산란 영역으로 구분하고 각 영역에 대해서 주파수별 스펙트럼 분석을 실시하였으며 각 영역이 갖는 확률적 특성을 분석하였다. 실험해역은 안정된 해저 형태를 갖는 천해였으므로 산란 신호는 일정한 크기를 갖고 지속적으로 수신되었다. 스펙트럼 분석 결과, 시간에 따른 안정성을 갖는 주파수 대역을 확인할 수 있었으며 구분된 영역별 위상은 반사영역과 산란영역의 위상 특성을 잘 반영하고 있었다. 구분된 각 영역에 대해 1/3 옥타브 벤드로 필터링 하여 확률 특성을 분석한 결과 주파수영역의 실수부와 허수부는 각각 정규 분포를 보였으며 그것의 진폭(envelope)은 레일리 분포를 나타냈다. 또한 산란신호의 위상은 저주파 대역에서 유니폼 분포 특성을 나타내어 잔향음의 기본적인 확률 특성을 잘 반영하고 있었다.

• The Journal of the Acoustical Society of Korea
• /
• v.20 no.4
• /
• pp.94-100
• /
• 2001

In October 1997, low-frequency reverberation was measured at an experimental site off the west coast of the Jeju island using the explosive charge, Signals Underwater Sound (SUS). Received signals were separated into the noise, the reflection, and the scattering region, and then were analyzed for the spectral and statistical characteristics of each region. In the analysis of the spectrum we verified that each region had a unique frequency band and statistical characteristics as well. The results of this analysis showed that the real and imaginary portions were shown to be both normal distributions in each frequency bin. The reverberation envelope had a Rayleigh distribution and the phase had a uniform distribution.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.41 no.11
• /
• pp.1380-1386
• /
• 2016

In this paper, we propose and evaluate OFDM(Orthogonal Frequency Division Multiplexing)-SSB(Singe Side Band) for improving spectral efficiency. The proposed system is based on OFDM system using DCT(Discrete Cosine Transform) and DHT(Discrete Hilbert Transform) for SSB modulation, this proposed system transmit a BPSK modulation signal through a single sideband and BPSK modulation signal through the other single sideband. In other words, we design and evaluate the proposed system which transmit two BPSK signal through each other single sideband. Also each BPSK BER performance is similar with theoretical BPSK BER performance. the proposed system transmits BPSK signal using half of spectrum of conventional OFDM system or transmit two BPSK signal in same time.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.1
• /
• pp.61-68
• /
• 2019

In addition to non-meteorological echoes, meteorological echoes with large scattering effects, such as precipitation, cause errors in wind data measured by wind profiler. In the rainfall situation, the Doppler spectrum of wind profiler shows both the rainfall signal and the atmospheric signal as two peaks. The vertical radial velocity is very large due to the falling rain drop. The radial velocity contaminated by rainfall decreases the accuracy of the horizontal wind vector and leads to inaccurate weather analysis. In this study, we developed an algorithm to process raw data of wind profiler and distinguished rainfall signal and wind signal by partitioning bimodal peak for Doppler spectrum in rainfall environment.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2013.02a
• /
• pp.472-472
• /
• 2013

본 논문은 InN와 GaN를 교대로 증착하는 교번성장법을 이용해 제작한 4주기 InN/GaN 박막의 구조적, 광학적, 특성을 X-ray diffraction, Atomic force microscopy, Transmission electron microscopy과 저온 Photoluminescence (PL) 장비를 사용하여 분석한 결과를 보고한다. Fig. 1은 4주기 InN/GaN박막의 XRD 스펙트럼으로 GaN(0002)와 InN(0002)의 회절 신호를 관찰할 수 있다. 그러나 두 피크뿐만 아니라 InN와 GaN 사이에 구분이 되지 않은 추가 신호를 확인할 수 있다. 추가신호는 InN와 GaN 계면에서 발생하는 상호확산 확률로서 해석할 수 있다. Fig. 2는 다양한 조건에서 성장한 InN/GaN 시료의 PL스펙트럼으로 방출 파장은 각각 1,380, 1,290, 1,280, 1,271, 1,246 nm로 측정되었다. 성장 조건 변화에 따른 발광특성 변화를 박막에서 III족 원자 특히, In 원자의 성장 거동에 따른 구속준위(Localized states) 변화로 논의할 예정이다.

• Journal of the Institute of Convergence Signal Processing
• /
• v.8 no.3
• /
• pp.178-184
• /
• 2007

The EEG signal in general can be categorized as the Alpha wave, the Beta wave, the Theta wave, and the Delta wave. The alpha wave, showed in stable state, is the dominant wave for a human EEG and the beta wave displays the excited state. The subject of this paper was to recognize the stable state of EEG quantitatively using wavelet transform and power spectrum analysis. We decomposed EEG signal into the alpha wave and the beta wave in the process of wavelet transform, and calculated each power spectrum of EEG signal, using Fast Fourier Transform. And then we calculated the stable state quantitatively by stable state ratio, defined as the power spectrum of the alpha wave over that of the beta wave. The study showed that it took more than 10 minutes to reach the stable state from the normal activity in 69 % of the subjects, 5 -10 minutes in 9%, and less than 5 minutes in 16 %.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.25 no.12
• /
• pp.1284-1291
• /
• 2014

For detection and parameter estimation, a multicarrier radar should discriminate a channel containing jamming signal and either leave it out or regenerate jammer suppressed target signal. To discriminate jamming channels, we use the angular spectrum of an eigenvector that embeds target echoes and jamming signals. We propose a criteria to discriminate the jammer channels and its basis through mathematical analysis. Moreover, we show some procedures to regenerate the jammer suppressed target echoes. Finally, the validity of the proposed method is demonstrated through simulation results showing improved performance in terms of direction of arrival(DOA) estimation.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.14 no.4
• /
• pp.247-256
• /
• 2021

In this paper, we propose a packet loss concealment (PLC) algorithm using pitch harmonic motion prediction and adaptive signal amplitude prediction and. The spectral motion prediction method divides the spectral motion of the previous usable frame into predetermined sub-bands to predict and restore the motion of the lost signal. In the proposed algorithm, the speech signal is classified into voiced and unvoiced sounds. In the case of voiced sounds, it is further divided into pitch harmonics using the pitch frequency to predict and restore the pitch harmonic motion of the lost frame, and for the unvoiced sound, the lost frame is restored using the spectral motion prediction method. When the continuous loss of speech frames occurs, a method of adjusting the gain using the least mean square (LMS) predictor is proposed. The performance of the proposed algorithm was evaluated through the objective evaluation method, PESQ (Perceptual Evaluation of Speech Quality) and was showed MOS 0.1 improvement over the conventional method.

• Journal of the Institute of Convergence Signal Processing
• /
• v.12 no.1
• /
• pp.33-37
• /
• 2011

This paper presents the frequency spectral analysis based on FFT of the infrared ray fire thermal image, it is an object to deduce the conditions for determining fire alarm through the image processing with the frequency domain. After the candidate regions are separated by using pre-defined brightness value, the fast fourier transform is performed for consecutive infrared thermal images, the frequency spectral analysis of the thermal image analyzed DC and AC frequency distribution. The fire criterion of the thermal image was presented based on the analyzed result and a practicality was confirmed through the computer simulation.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.4
• /
• pp.991-998
• /
• 2010

In realization of wireless home network system using speech recognition in indoor voice recognition environment, background noise and reverberation are two main causes of digression in voice recognition system. In this study, the home network system resistant to reverberation and background noise using voice section detection method based on spectral entropy in indoor recognition environment is to be realized. Spectral subtraction can reduce the effect of reverberation and remove noise independent from voice signal by eliminating signal distorted by reverberation in spectrum. For effective spectral subtraction, the correct separation of voice section and silent section should be accompanied and for this, improvement of performance needs to be done, applying to voice section detection method based on entropy. In this study, experimental and indoor environment testing is carried out to figure out command recognition rate in indoor recognition environment. The test result shows that command recognition rate improved in static environment and reverberant room condition, using voice section detection method based on spectral entropy.