• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.4-7
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• 1997

When we use Hadamard transform spectrometers (HTS), we can increase signal to noise ratio(SNR) by multiplexing which is done by masks. But if the mask has a single defective element, output-SNR decreases. In this paper the effect of a single defective element on the output-SNR is investigated. And a method of compensating for the defective mask element is presented.

• 한국통신학회논문지
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• 제32권3C호
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• pp.323-330
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• 2007

CDMA 셀룰라 망의 기지국에 이용될 수 있는 선형 스마트 안테나를 이차원으로 확장시켜 성능의 척도인 출력 신호대잡음비(Output SNR: Output Signal to Noise Ratio), 출력신호대간섭비(Output SIR: Output Signal to Interference Ratio), 출력신호대간섭잡음비(Output SINR: Output Signal to Interference plus Noise Ratio)를 도출 하였다 Beam forming algorithm 으로 SCGM(Simplified Conjugate Gradient Algorithm)을 설정하고 입력신호대 잡음비, antenna element 숫자, 간섭신호의 분포 등을 변화시키며 평면 스마트 안테나의 성능을 simulate 하였다. 간섭신호들의 방위각(Azimuth angle)이 -90도 에서 +90도 사이에서 고르게 분포할 때, 평면 스마트 안테나의 성능은 같은 숫자의 element를 갖는 선형 스마트 안테나의 성능에 근접함을 보였다.

• Current Optics and Photonics
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• 제6권6호
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• pp.608-618
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• 2022

By analyzing the signal-to-noise ratio (SNR) theory of the conventional true color night vision system, we found that the output image SNR is limited by the wavelength range of the system response λ₁ and λ₂. Therefore, we built a double-channel four-band true color night vision system to expand the system response to improve the output image SNR. In the meantime, we proposed an image fusion method based on principal component analysis (PCA) and nonsubsampled shearlet transform (NSST) to obtain the true color night vision images. Through experiments, a method based on edge extraction of the targets and spatial dimension decorrelation was proposed to calculate the SNR of the obtained images and we calculated the correlation coefficient (CC) between the edge graphs of obtained and reference images. The results showed that the SNR of the images of four scenes obtained by our system were 125.0%, 145.8%, 86.0% and 51.8% higher, respectively, than that of the conventional tri-band system and CC was also higher, which demonstrated that our system can get true color images with better quality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권8호
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• pp.2607-2625
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• 2014

Previous studies on multiuser multiple-input multiple-output (MIMO) mostly assume a homogeneous signal-to-noise ratio (SNR), where each user has the same average SNR. However, real networks are more likely to feature heterogeneous SNRs (a random-valued average SNR). Motivated by this fact, we analyze a multiuser MIMO downlink with a zero-forcing (ZF) receiver in a heterogeneous SNR environment. A transmitter with Mantennas constructs M orthonormal beams and performs the SNR-based proportional fairness (S-PF) scheduling where data are transmitted to users each with the highest ratio of the SNR to the average SNR per beam. We develop a new analytical expression for the sum throughput of the multiuser MIMO system. Furthermore, simply modifying the expression provides the sum throughput for important special cases such as homogeneous SNR, max-rate scheduling, or high SNR. From the analysis, we obtain new insights (lemmas): i) S-PF scheduling maximizes the sum throughput in the homogeneous SNR and ii) under high SNR and a large number of users, S-PF scheduling yields the same multiuser diversity for both heterogeneous SNRs and homogeneous SNRs. Numerical simulation shows the interesting result that the sum throughput is not always proportional to M for a small number of users.

• 말소리와 음성과학
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• 제3권1호
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• pp.87-94
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• 2011

The decision directed (DD) approach is widely used to determine a priori SNR from noisy speech signals. In conventional speech enhancement systems with a DD approach, a priori SNR is estimated by using only the magnitude components and consequently follows a posteriori SNR with one frame delay. We propose a phase-dependent two-step a priori SNR estimator based on the minimum mean square error (MMSE) in the log-mel spectral domain so that we can consider both magnitude and phase information, and it can overcome the performance degradation caused by one frame delay. From the experimental results, the proposed estimator is shown to improve the output SNR of enhanced speech signals by 2.3 dB compared to the conventional DD approach-based system.

• 대한전자공학회논문지
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• 제9권5호
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• pp.12-18
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• 1972

정현 신호 및 zero 평균 정상 정규 잡음의 협대역파 신호를 갖는 n차 반파 zero기억형 비선형 장치의 출력 SN 비 및 m차 고조파 발생의 관계를 밝혔다. 최대 출력 SN비는 소 신호 입력에서 m=n=2 이었으며 대 신호 입력에선 항시 n=2이었다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1998년도 추계학술대회
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• pp.209-210
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• 1998

Noise characteristics of preamplifier, the most essential part of on-chip signal processing circuitry for the active semiconductor neural probe, is the important factor determining the overall signal-to-noise-ratio (SNR). We present a systematic design method for the optimization of SNR, based on the spectral characteristics of the electrode, circuit noise and extracelluar action potential. Analytical expression is derived to calculate total output noise power. Output SNR of 2-stage CMOS preamplifier is tailored to meet the given specification while the layout area is minimized.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.26-30
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• 2019

This paper proposes a new voice activity detection (VAD) method which is based on SNR and non-intrusive speech intelligibility estimation. In the conventional SNR-based VAD methods, voice activity probability is obtained by estimating frame-wise SNR at each spectral component. However these methods lack performance in various noisy environments. We devise a hybrid VAD method that uses non-intrusive speech intelligibility estimation as well as SNR estimation, where the speech intelligibility score is estimated based on deep neural network. In order to train model parameters of deep neural network, we use MFCC vector and the intrusive speech intelligibility score, STOI (Short-Time Objective Intelligent Measure), as input and output, respectively. We developed speech presence measure to classify each noisy frame as voice or non-voice by calculating the weighted average of the estimated STOI value and the conventional SNR-based VAD value at each frame. Experimental results show that the proposed method has better performance than the conventional VAD method in various noisy environments, especially when the SNR is very low.

• 한국통신학회논문지
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• 제32권6A호
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• pp.511-518
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• 2007

현재의 전송네트워크용량을 향상시킬때 중요하게 고려해야 할것중의 하나가 네트워크 scalability 이다. 새로운 풀 메쉬의 링 확장 방법 및 플래닝 툴을 제안하였다. 3$\sim$15 노드의 확장링에서 본 툴을 사용하여 SNR이 증진되는 것을 입증하였다. 노드의 출력신호 및 광 SNR이 제안된 NPOT에 의해 -16dBm/10dB 에서 +005dBm/21dB 로 증진되었다.

• 한국정보통신학회논문지
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• 제17권7호
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• pp.1571-1576
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• 2013

본 논문에서는 잡음 환경 하에서 음성신호에 대한 신호대잡음비(SNR)를 개선하기 위한 알고리즘을 제안한다. 본 논문에서 제안하는 알고리즘은 백색잡음 및 자동차잡음 등과 같은 배경잡음으로부터 음성신호의 SNR을 개선할 목적으로 먼저 저역, 중역, 고역 SNR 대역에서 SNR을 추정한다. 다음으로 본 알고리즘은 각 대역에서 스펙트럼을 강조함으로써 잡음으로 오염된 음성신호 속에서 잡음신호를 차감한다. 백색잡음, 자동차잡음에 의하여 오염된 음성에 대하여 본 논문에서 제안한 알고리즘이 스펙트럼 차감 방법과 비교하여 양호한 신호대잡음비 값을 구하였다. 실험결과로부터 스펙트럼 차감 방법과 비교하여 백색잡음에 대하여 최대 4.2 dB, 자동차잡음에 대하여 최대 3.7 dB의 출력 신호대잡음비가 개선된 것을 확인할 수 있었다.