• ETRI Journal
• /
• 제9권3호
• /
• pp.3-12
• /
• 1987

본 논문은 백색 가우스 부가잡음 채널에서 FSK협대역 신호를 수신하는 전형적인 통신 시스팀 및 이론적 문제를 다룬다. 변형된 자기상관 시퀀스를 이용하여 보다 개선된 수신성능을 꾀하기 위한 기술로서 시뮬레이션을 통해 제안된 시스팀 성능을 평가한다.

• 음성과학
• /
• 제15권2호
• /
• pp.55-65
• /
• 2008

Recently, the multi-model based speech recognizer has been used quite successfully for noisy speech recognition. For the selection of the reference HMM (hidden Markov model) which best matches the noise type and SNR (signal to noise ratio) of the input testing speech, the estimation of the SNR value using the VAD (voice activity detection) algorithm and the classification of the noise type based on the GMM (Gaussian mixture model) have been done separately in the multi-model framework. As the SNR estimation process is vulnerable to errors, we propose an efficient method which can classify simultaneously the SNR values and noise types. The KL (Kullback-Leibler) distance between the single Gaussian distributions for the noise signal during the training and testing is utilized for the classification. The recognition experiments have been done on the Aurora 2 database showing the usefulness of the model compensation method in the multi-model based speech recognizer. We could also see that further performance improvement was achievable by combining the probability density function of the MCT (multi-condition training) with that of the reference HMM compensated by the D-JA (data-driven Jacobian adaptation) in the multi-model based speech recognizer.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
• /
• 제5B권4호
• /
• pp.358-365
• /
• 2005

In induction machine drive without a speed sensor, the estimation of the motor flux and speed often becomes deteriorated at low speeds with low back EMF. Our analysis shows that, in addition to the state resistance variation, the estimated value of field orientation angle is often corrupted by accumulative errors from the integration of voltage variables at motor terminals that have low signal/noise ratio at low frequencies. A repetitive loop path of integration in the feedback can amplify this type of error, thus speeding up the degradation process. The control system runs into information starvation due to the loss of correct field orientation. The machine's spiral vectors are controlled only in a reduced dimension in this situation. A novel control scheme is developed to improve the control performance of motor's current, torque and speed at low frequencies. The scheme gains a full-dimensional vector control and is less sensitive to the combined effect of the error sources at the low frequencies. Experimental tests demonstrate promising performances are achievable even below 0.5 Hz.

• The Journal of the Acoustical Society of Korea
• /
• 제15권2E호
• /
• pp.39-44
• /
• 1996

The performance of two-channel adaptive noise canceller is ofter degraded by the weights perturbation due to the speech signal. In this paper, an adaptive noise canceller employing a speech detector and two adaptation algorithms which are switched according to the speech detector is proposed. When highly correlated speech signal is detected, the tap weights of the adaptive filter are adapted by the sign algorithm. On the other hand, the weights are adapted by the NLMS algorithm when silence is detected or when the characteristics of the noise propagation channel is changed. The employed speech detector utilizes the power ratio of the input and the output of an adaptive linear prediction-error filter. According to the computer simulation, the proposed method yields better performance than conventional ones.

• 센서학회지
• /
• 제6권6호
• /
• pp.458-465
• /
• 1997

본 논문에서 자기 이상 검출시스템의 신호 대 잡음비 개선을 위하여 자기환경 필터의 이론을 제안하였다. 자기환경 필터는 검출센서와 기준센서로부터 자기장을 측정하여 주파수 공간에서 상관관계를 측정하여 구성된다. 이를 이용하면 간섭성 잡음을 제거시켜 신호대 잡음비론 개선시킬 수 있다. 최근 DSP 하드웨어 기술을 이용하면 자기환경 필터의 하드웨어 구현이 용이하다. 컴퓨터 시뮬레이션을 통하여 여러 자기 환경 조건에서 제안된 자기환경 필터의 성능을 보였다. 시뮬레이션 결과 자기환경 필터는 간섭성 잡음을 소거시킬 뿐만 아니라 센서의 오배치에 의한 오차를 제거하고 지역적으로 국한된 규칙적인 잡음도 제거할 수 있음을 알 수 있었다.

• 한국항행학회논문지
• /
• 제20권6호
• /
• pp.539-543
• /
• 2016

본 논문은 Daubechies 정상 웨이블릿 변환을 이용하여 무인항공기 항공촬영 영상의 성능을 향상하기 위한 기법에 대해 연구하였다. 무인항공기에서 획득된 영상이 가장 일반적이고 보편적으로 적용되는 가우시안 잡음에 의하여 손상되었을 경우, 영상의 성능을 개선하기 위한 실험을 수행하였다. 정상 웨이블릿 변환은 DWT (discrete wavlet transform)에서 다운샘플링에 의해 발생하는 문제점을 해결하기 위한 변환방법으로써 잡음제거에 DWT보다 효과적이라고 알려져 있다. 또한 Haar 웨이블릿은 불연속 함수인 이유로 매끄러운 신호나 영상처리에 효과적이지 못하다. 이에 본 연구에서는 daubechies 정상 웨이블릿을 이용하여 잡음을 제거하였으며 기존 haar 정상 웨이블릿을 적용하였을 때 보다 더 성능이 개선됨을 확인하였다.

• 한국정보통신학회논문지
• /
• 제22권8호
• /
• pp.1090-1098
• /
• 2018

국지적인 기상 이변이나 강우 현상 등을 분석하고 예보하기 위해서는 지역별로 저고도 탐색이 가능한 다수의 단거리 기상 레이다들이 필요하다. 그러나 이러한 레이다들의 특성인 낮은 고각의 전자파 빔 때문에 지표면 클러터가 기상 신호를 심하게 오염시킬 가능성이 매우 높다. 그러므로 이러한 문제를 완화시키기 위하여 일반적으로 도플러 저주파 대역 차단 필터를 사용하게 된다. 그러나 레이다 시스템에서의 위상잡음은 이러한 강력한 클러터의 제거를 제한시킬 수 있으며 잔존하는 클러터로 인하여 기상 파라미터 추정에 심각한 문제를 야기할 수 있다. 따라서 본 논문에서는 레이다의 시스템 위상 잡음 특성을 분석하고 이러한 위상 잡음이 강력한 클러터가 존재하는 환경, 즉 단거리, 저고도 기상레이다에서의 SCR(signal to clutter ratio) 개선 정도에 미치는 영향을 분석하였다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 ITC-CSCC -2
• /
• pp.727-730
• /
• 2002

This paper proposes the interference cancellation improvement in smart antenna system by using Applebaum array covariance matrix adjustment. This technique adds the specific adjustable multipliers with both desired signal covariance matrix and interference signal covariance matrices in order to overcome some disadvantages and improve the interference cancellation efficiency of Applebaum array. It is based on the desired and undesired signal power or desired signal-to-interference-plus-thermal noise ratio (SINR). As the result from demonstration, the proposed technique can improve and increase the interference cancellation efficiency in smart antenna better than the conventional technique.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2007년도 하계종합학술대회 논문집
• /
• pp.331-332
• /
• 2007

This Paper deals with the high sensitive camera circuit design, which is more sensitive than those on the market now in a way that it got rid of chronic smearing problem in CCD sensor and other kinds of noises in video signal effectively. This paper focused on the principle of CCD and video signal process and analyzed the specialized technique of industry and fundamental high sensitivity of CCTV camera. 1 also looked into the SONY super-HAD CCD camera which is very popular in the field now and compared this with the SONY EXview CCD camera to analyze the picture improvement using video test equipment. For the result, it had 190mv on camera sensitivity, 14dB on smearing, and 2dB on signal to noise ratio.

• International journal of advanced smart convergence
• /
• 제9권2호
• /
• pp.20-27
• /
• 2020

Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF). In this paper, we proposed a deep learning model that integrates Convolution Neural Network (CNN) with Non-Negative Matrix Factorization (NMF). To improve the separation quality of the NMF, it includes noise update technique that learns and adapts the characteristics of the current noise in real time. The noise update technique analyzes the sparsity and activity of the noise bias at the present time and decides the update training based on the noise candidate group obtained every frame in the previous noise reduction stage. Noise bias ranks selected as candidates for update training are updated in real time with discrimination NMF training. This NMF was applied to CNN and Hidden Markov Model(HMM) to achieve improvement for performance of sound event detection. Since CNN has a more obvious performance improvement effect, it can be widely used in sound source based CNN algorithm.