• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.102-109
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• 2016

This paper proposes a noise suppression method through SNR (Singal-to Noise Ratio) estimation in the two microphone array environment of close spacing. The conventional method uses a noise suppression method for a gain function obtained through the SNR estimation based on coherence function from full band. However, this method cause performance decreased by the noise damage that affects all the feature vector component. So, we propose a noise suppression method that allocates a frequency domain signal into N constant multi frequency band and each frequency band gets a gain function through SNR estimation based on coherence function. Performance evaluation of the proposed method is shown by comparison with PESQ (Perceptual Evaluation of Speech Quality) value which is an objective quality evaluation method provided by the ITU-T (International Telecommunications Union Telecommunication).

• The Journal of the Acoustical Society of Korea
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• v.25 no.8
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• pp.383-388
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• 2006

This Paper presents a novel approach to single channel microphone speech enhancement in noisy environments. Widely used noise reduction techniques based on the spectral subtraction are generally expressed as a spectral gam depending on the signal-to-noise ratio (SNR). The well-known decision-directed(DD) estimator of Ephraim and Malah efficiently reduces musical noise under the background noise conditions, but generates the delay of the a prioiri SNR because the DD weights the speech spectrum component of the Previous frame in the speech signal. Therefore, the noise suppression gain which is affected by the delay of the a priori SNR, which is estimated by the DD matches the previous frame rather than the current one, so after noise suppression. this degrades the noise reduction performance during speech transient periods. We propose a computationally simple but effective speech enhancement technique based on the sigmoid type function for the weight Parameter of the DD. The proposed approach solves the delay problem about the main parameter, the a priori SNR of the DD while maintaining the benefits of the DD. Performances of the proposed enhancement algorithm are evaluated by ITU-T p.862 Perceptual Evaluation of Speech duality (PESQ). the Mean Opinion Score (MOS) and the speech spectrogram under various noise environments and yields better results compared with the fixed weight parameter of the DD.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.359-361
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• 2013

DGPS 기준국은 GPS 보정정보를 중파를 통해 실시간으로 송출하고 있다. DGPS 기준국의 감시를 위해 내륙감시국을 운영중이며 DGPS 기준국의 중파신호를 수신하여 감시하고 있다. 하지만 평창감시국에서 GPS 보정신호의 신호대잡음비(SNR) 저하가 발생하여 그 원인을 찾아보고 노이즈필터를 통해 해결하였다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.4
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• pp.6-14
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• 2011

The fast growing of the number of users requires the development of reliable communication systems able to provide higher data rates. In order to meet those requirements, techniques such as Multiple Input Multiple Out (MIMO) and Orthogonal Frequency Division multiplexing (OFDM) have been developed in the recent years. In order to combine the benefits of both techniques, the research activity is currently focused on MIMO-OFDM systems. In addition, for a fast wireless channel environment, the data rate and reliability can be optimized by setting the modulation and coding adaptively according to the channel conditions; and using sub-carrier frequency, and power allocation techniques. Depending on how accurate the feedback-based system obtain the channel state information (CSI) and feed it back to the transmitter without delay, the overall system performance would be poor or optimal. In this paper, we propose a Signal to Noise Ratio (SNR) estimation algorithm where the preamble is known for both sides of the transciever. Through simulations made over several channel environments, we prove that our proposed SNR estimation algorithm is more accurate compared with the traditional SNR estimation. Also, We applied AMC on several channel environments using the parameters of IEEE 802.11n, and compared the Throughput performance when using each of the different SNR Estimation Algorithms. The results obtained in the simulation confirm that the proposed algorithm produces the highest Throughput performance.

• The Journal of the Acoustical Society of Korea
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• v.13 no.1
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• pp.63-70
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• 1994

In this paper, we Investigate the $Q^2PSK$ modulation and demodulation system and analyze the BER performance of the receiver system under 2-way Rayleigh fading and Gaussian noisy channel environment. The TDL equalizer with the adaptive LMS algorithm is used to improve the receiver performance since the received signal is distorted through that channel and the recovered carrier from the noncoherent demodulation has much phase deviation error. From the results of computer simulation, It is shown that at 12dB SNR, the reception performance is improved by $83.7\%$ in the fading case, $89.3\%$ in the carrier phase error case and $60.4\%$ in the case of the fading and carrier phase error.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.3
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• pp.6-12
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• 2011

The fast growing of the number of users requires the development of reliable communication systems able to provide higher data rates. In order to meet those requirements, techniques such as Multiple Input Multiple Out (MIMO) and Orthogonal Frequency Division multiplexing (OFDM) have been developed in the recent years. In order to combine the benefits of both techniques, the research activity is currently focused on MIMO-OFDM systems. In addition, for a fast wireless channel environment, the data rate and reliability can be optimized by setting the modulation and coding adaptively according to the channel conditions; and using sub-carrier frequency, and power allocation techniques. Depending on how accurate the feedback-based system obtain the channel state information (CSI) and feed it back to the transmitter without delay, the overall system performance would be poor or optimal. In this paper, we propose a Signal to Noise Ratio (SNR) estimation algorithm where the preamble is known for both sides of the transciever. Through simulations made over several channel environments, we prove that our proposed SNR estimation algorithm is more accurate compared with the traditional SNR estimation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.465-468
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• 2005

MMA(Multi-Modulus Algorithm) is inferior at a initial equalization in high ISI(intersymbol interference), because it is the inaccurate decision. To improve this probel SMMA(Sliced Multi-Modulus Algorithm) is based on using the MCMA(Modified Constant Modulus Algorithm). SMMA is a improved capability than MMA in high SNR but is inaccurate decision in low SNR. In this paper, We propose some multi-modulus blind equalization algorithm scheme. It is a method of operation in some multi-modulus algorithm which does no obstruct a convergence property at the initial equalization in the low SNR. Proposed algorithm improves the steady-state performance. And it uses residual ISI of the equalizer output in order to decide the optimum switching time between the single modulus and the multi-modulus algorithm.

• Journal of IKEEE
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• v.22 no.2
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• pp.510-513
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• 2018

Recently, EMC (electromagnetic compatibility) becomes very important, which demands the measurement of EMI (electromagnetic interference) in the chip level. NFS (near-field scanning) systems defined in IEC 61967 and IEC 62508 are typical methods to analyze EMI in the chip level. As chips becomes faster, frequency measurement of NFS system should become wideband, but it degrades SNR (singal-to-noise ratio) of the NFP (near-field probe). This paper surveys SNR enhancement technologies of the NFS while maintaining wideband characteristics.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1880-1881
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• 2007

전력선 통신 채널에는 특징적으로 충격 잡음이 존재하며, 전력선 통신 시스템의 성능 열화에도 많은 영향을 준다. 이는 일반적인 배경 잡음에 비해 많게는 수십 dB 이상의 레벨을 가지면서, 임의 시간적으로 발생함으로써 추정 및 제어 또한 어렵기 때문이며, 전력선 통신 시스템이 Mbps급으로 고속화 되면서 주파수 대역이 확장되고, 확장된 대역상에 다중 반송파를 이용하여 대용량의 데이터를 전송하는 변복조기법들이 적용됨에 따라, 시간 영역에서 비교적 짧은 시간 동안 존재하는 충격 잡음이 주파수 영역에서 사용 주파수 전체 대역상에 영향을 줌으로써 시스템 전체 성능 저하의 큰 요인이 되고 있다. 본 논문에서는 이러한 충격 잡음이 고속 전력선 통신 시스템에서 사용되는 OFDM(또는 DMT) 방식 수신기의 복조기 출력단 SNR에 미치는 영향을 분석 및 단순화하고, 시뮬레이션을 통해 검증한다.

• Journal of the Korean Society of Radiology
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• v.14 no.6
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• pp.763-772
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• 2020

During X-ray examinations in the DR system, the scattered X-rays physically generated by the patient cause image blurring in poor quality. Although X-rays to increase the contrast of images, this increases the patient's exposure dose and is likely to result in grid induced artifacts. Therefore, the purpose of this study is obtain images similar to those of real-grid with non-grid level conditions using a VGR (Virtual Grid Role) algorithm that serves as a virtual grid. Comparing MTF, SNR and CNR of non-grid and VGR algorithm images obtained with 70% exposure conditions of real-grid images showed that the MTF0.5 differed from 0.265 to 0.350 and the MTF0.1 from 0.412 to 0.467 and the SNR, CNR were also different. In addition, comparing MTF, SNR and CNR of VGR algorithm and real-grid images showed that the MTF0.5 differed from 0.350 to 0.367 and the MTF0.1 from 0.467 to 0.483 and the SNR, CNR by little.