• Title/Summary/Keyword: Quantization Noise

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ONE-PARAMETER GROUPS AND COSINE FAMILIES OF OPERATORS ON WHITE NOISE FUNCTIONS

  • Chung, Chang-Hoon;Chung, Dong-Myung;Ji, Un-Cig
    • Journal of the Korean Mathematical Society
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    • v.37 no.5
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    • pp.687-705
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    • 2000
  • The main purpose of this paper is to study differentiable one-parameter groups and cosine families of operators acting on white noise functions and their associated infinitesimal generators. In particular, we prove the heredity of differentiable one-parameter group and cosine family of operators under the second quantization of the Cuchy problems for the first and second or der differential equations.

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Identifying Friendly and Foe Using a Watermarking Technique During Military Communication (군 통신상에서 워터마킹 기술을 이용한 피아식별 방법)

  • Lee, Jong-Kwan;Choi, Hyun-Joo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.4
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    • pp.81-89
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    • 2006
  • In this paper, a watermark technique for identifying friendly and foe is proposed during communication. The speech signal is processed in several stages. First, speech signal is partitioned into small time frames and the frames are transformed into frequency domain using DFT(Discrete Frequency Transform). The DFT coefficients are quantized and the watermark signal is embedded into the quantized DFT coefficients. At the destination channel quantization errors of received signal are regarded as the watermark signal. Identification of friendly and foe are done by correlating the detected watermark and the original watermark. As in most other watermark techniques, this method has a trade off between noise robustness and quality. However, this is solved by a partial quantization and a noise level dependent quantization step. Simulation results in the various noisy environments show that the proposed method is reliable for identification between friendly and foe.

Secret Data Communication Method using Quantization of Wavelet Coefficients during Speech Communication (음성통신 중 웨이브렛 계수 양자화를 이용한 비밀정보 통신 방법)

  • Lee, Jong-Kwan
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10d
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    • pp.302-305
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    • 2006
  • In this paper, we have proposed a novel method using quantization of wavelet coefficients for secret data communication. First, speech signal is partitioned into small time frames and the frames are transformed into frequency domain using a WT(Wavelet Transform). We quantize the wavelet coefficients and embedded secret data into the quantized wavelet coefficients. The destination regard quantization errors of received speech as seceret dat. As most speech watermark techniques have a trade off between noise robustness and speech quality, our method also have. However we solve the problem with a partial quantization and a noise level dependent threshold. In additional, we improve the speech quality with de-noising method using wavelet transform. Since the signal is processed in the wavelet domain, we can easily adapt the de-noising method based on wavelet transform. Simulation results in the various noisy environments show that the proposed method is reliable for secret communication.

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A New Low-BMR Quantization Method for Wireless Channel Characteristics-based Secret Key Generation

  • Wang, Qiuhua;Lyu, Qiuyun;Wang, Xiaojun;BAO, Jianrong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.5080-5097
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    • 2017
  • Channel characteristics-based secret key generation is an effective physical-layer security method. The issues of how to remove the effect of random noise and to balance the key generation rate (KGR) and the bit mismatch rate (BMR) are needed to be addressed. In this paper, to reduce the effect of random noise and extract more secret bits, a new quantization scheme with high key generation rate and low bit mismatch rate is proposed. In our proposed scheme, we try to use all measurements and correct the differences caused by noise at the boundary regions instead of simply dropping them. We evaluate and discuss the improvements of our proposed scheme. The results show that our proposed scheme achieves lower bit mismatch rate as well as remaining high key generation rate.

A Study on Single-bit Feedback Multi-bit Sigma Delta A/D converter for improving nonlinearity

  • Kim, Hwa-Young;Ryu, Jang-Woo;Jung, Min-Chul;Sung, Man-Young
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.11a
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    • pp.57-60
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    • 2004
  • This paper presents multibit Sigma-Delta ADC using Leslie-Singh Structure to Improve nonlinearity of feedback loop. 4-bit flash ADC for multibit Quantization in Sigma Delta modulator offers the following advantages such as lower quantization noise, more accurate white-noise level and more stability over single quantization. For the feedback paths consisting of DAC, the DAC element should have a high matching requirement in order to maintain the linearity performance which can be obtained by the modulator with a multibit quantizer. Thus a Sigma-Delta ADC usually adds the dynamic element matching digital circuit within feedback loop. It occurs complexity of Sigma-Delta Circuit and increase of power dissipation. In this paper using the Leslie-Singh Structure for improving nonliearity of ADC. This structure operate at low oversampling ratio but is difficult to achieve high resolution. So in this paper propose improving loop filter for single-bit feedback multi-bit quantization Sigma-Delta ADC. It obtained 94.3dB signal to noise ratio over 615kHz bandwidth, and 62mW power dissipation at a sampling frequency of 19.6MHz. This Sigma Delta ADC is fabricated in 0.25um CMOS technology with 2.5V supply voltage.

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A Study on an Embedded DPCM with Convolutional Coding (길쌈부호를 사용한 Embedded DPCM 방식에 관한 연구)

  • 임종수;이상곤;문상재
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.28A no.1
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    • pp.1-7
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    • 1991
  • Degradation of communication quality is due to transmission error rather than quantization noise when DPCM signal is transmitted over a heavily noise channel. The communication quality can be improved by employing an error correcting code to the DPCM signal transmission over such a channel. We considered both quantization noise and transmission error simultaneously in evaluating the signal to noise ratio. To efficiently improve the signal to noise ratio, we analyze the unequal symbol error probability of convolutional code, and encoded to more protect significant symbols from channel errors than least ones, so that the signal to noise ratio is improved. We derived related formulas and also made computer simulations.

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A Study on Sigma Delta ADC using Dynamic Element Matching (Dynamic Element Matching을 적용한 Sigma Delta ADC에 관한 연구)

  • Kim, Hwa-Young;Ryu, Jang-Woo;Lee, Young-Hee;Sung, Man-Young;Kim, Gyu-Tae
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.1222-1225
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    • 2004
  • This paper presents multibit Sigma-Delta ADC using noise-shaped dynamic element matching(DEM). 5-bit flash ADC for multibit quantization in Sigma Delta modulator offers the following advantages such as lower quantization noise, more accurate white-noise level and more stability over single quantization. For the feedback paths consisting of DAC, the DAC element should have a high matching requirement in order to maintain the linearity performance which can be obtained by the modulator with a multibit quantizer. The DEM algorithm is implemented in such a way as to minimize additional delay within the feedback loop of the modulator Using this algorithm, distortion spectra from DAC linearity errors are shaped. Sigma Delta ADC achieves 82dB signal to noise ratio over 615H7z bandwidth, and 62mW power dissipation at a sampling frequency of 19.6MHz. This Sigma Delta ADC is designed to use 0.25um CMOS technology with 2.5V supply voltage and verified by HSPICE simulation.

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Quantization error model of signal converter in strapdown inertial navigation system (스트랩다운 관성항법장치의 신호변환기 양자화 오차모델)

  • 정태호;송기원
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.131-135
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    • 1991
  • A quantization error model is suggested for analog to frequency(A/F) converter in strapdown inertial navigation system(SDINS),which is characterized by some white noise exciting the state variables. Also, effects on the performance of SDINS by analog to digital(A/D) converter and A/F converter are analyzed and compared via covariance simulation. As a result, A/F converter turns out to be superior to the A/D converter with respect to the induced navigation error and the difficulty in circuit realization. The quantization error model developed in this paper appears to be useful for optimal filter design.

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Conversion Loss for the Quantizer of GPS Civil Receiver in Heavy Wideband Gaussian Noise Environments (강한 광대역정규잡음 환경에서 GPS 상용 수신기 양자화기의 변환 손실 분석)

  • Yoo, Seungsoo;Kim, Sun Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.9
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    • pp.792-797
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    • 2013
  • This paper has derived the conversion loss according to the synchronized condition between the transmitted and locally generated spreading signals for the civil global positioning system (GPS) receiver in the heavy wideband Gaussian noise environments. From this, the outputs of the 2-bit nonuniform quantizer, which has the minimum conversion loss, is set to ${\pm}1$ and ${\pm}2$, while the quantization step size is approximated to the jamming-to-signal power ratio.

Quantization Noise Reduction in MPEG Postprocessing System Using the Variable Filter Adaptive to Edge Signal (에지 신호에 적응적인 가변 필터를 이용한 MPEG 후처리 시스템에서의 양자화 잡음 제거)

  • Lee Suk-Hwan;Huh So-Jung;Lee Eung-Joo;Kwon Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.9 no.3
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    • pp.296-306
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    • 2006
  • We proposed the algorithm for the quantization noise reduction based on variable filter adaptive to edge signal in MPEG postprocessing system. In our algorithm, edge map and local modulus maxima in the decoded images are obtained by using 2D Mallat wavelet tilter. And then, blocking artifacts in inter-block are reduced by Gaussian LPF that is variable to filtering region according to edge map. Ringing artifacts in intra-block are reduced by 2D SAF according to local modulus maxima. Experimental results show that the proposed algorithm was superior to the conventional algorithms as regards PSNR, which was improved by 0.04-0.20 dB, and the subjective image quality.

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