• 제목/요약/키워드: Quantization Noise

검색결과 224건 처리시간 0.023초

페이딩 채널 환경하에서의 양자화 특성에 의한 AF CR loop의 성능평가 (Under the fading channel environment, performance evaluation of AF CR loop Due to the quantization effect)

  • 송재철;이경하;김선형;최형진
    • 한국통신학회논문지
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    • 제21권3호
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    • pp.737-746
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    • 1996
  • In this paper, we present simulation result of quantization effects about a new Angular From Carrier Recovery Loop(AF CR loop) for PSK modulation technique. AF CR loop includes detected angle symbol and Multi Level hardimiter. In general, detected angle is used in dtermining symbol. Because detected angle is used to make an error signal of phase detector output, hardware implementation of AF CR loop is simpler than that of other loops. Before hardware implementation of AF CR loop, the result due to quantization effect should be investigated. In order to confirm quntization effect of AF CR loop, we evaluate performance of this loop by Monte-Carlosimulation method. Under both in the AWGN and Jake's fading noise channel environments, we confirmed the characteristics of AF CR loop in terms of RMS jitter due to quntization effect. Differential APSK modulation schemeis used in this paper. Especially, Jake's fading channel is used as a channel model and also AGC(Automatic Gain Control) is used in the overall process of performance evaluation. We obtained the resonable result of quantization effect about AF CR loop. With the result of performanceevaluation based on quantization effects, we can expect to operate AF CRloop under the fading channel environments reasonably well.

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Mapping 기법을 이용한 효율적인 IFFT 설계 (Efficient IFFT Design Using Mapping Method)

  • 장인걸;김용은;정진균
    • 대한전자공학회논문지TC
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    • 제44권11호
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    • pp.11-18
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    • 2007
  • FFT(Fast Fourier Transform) 프로세서는 WiBro, DAB, UWB와 같은 OFDM 시스템의 구현에 있어 중요한 블록 중 하나이다. 현재, FFT 프로세서의 구현에 관한 연구는 계속 이루어지고 있으며 대부분의 연구들은 곱셈기의 수나 면적감소, 메모리 사이즈 감소, 제어회로를 감소시키는 것에 초점을 두어 진행되고 있다. 본 논문에서는 IFFT(Inverse Fast Fourier Transform)에서 요구되는 메모리를 감소시키기 위하여 mapping 방법을 토대로 한 새로운 IFFT 설계방법을 제안한다. WiBro를 위한 1024포인트 IFFT를 설계하기 위해 $Radix-2^4$ SDF(Single-Path Delay Feedback) 구조를 사용하여 시뮬레이션하였으며 제안된 IFFT 설계방법으로 구현했을 시 기존의 방법으로 설계했을 때와 비교하여 메모리가 차지하는 면적에서 60%이상의 감소와 입력비트별로 다양한 SQNR(Signal-to-Quantization-Noise Ratio) 이득을 보였다.

Channel Quantization for Block Diagonalization with Limited Feedback in Multiuser MIMO Downlink Channels

  • Moon, Sung-Hyun;Lee, Sang-Rim;Kim, Jin-Sung;Lee, Inkyu
    • Journal of Communications and Networks
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    • 제16권1호
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    • pp.1-9
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    • 2014
  • Block diagonalization (BD) has been proposed as a simple and effective technique in multiuser multiple-input multiple-output (MU-MIMO) broadcast channels. However, when channel state information (CSI) knowledge is limited at the transmitter, the performance of the BD may be degraded because inter-user interference cannot be completely eliminated. In this paper, we propose an efficient CSI quantization technique for BD precoded systems with limited feedback where users supported by a base station are selected by dynamic scheduling. First, we express the received signal-to-interference-plus-noise ratio (SINR) when multiple data streams are transmitted to the user, and derive a lower bound expression of the expected received SINR at each user. Then, based on this measure, each user determines its quantized CSI feedback information which maximizes the derived expected SINR, which comprises both the channel direction and the amplitude information. From simulations, we confirm that the proposed SINR-based channel quantization scheme achieves a significant sum rate gain over the conventional method in practical MU-MIMO systems.

H.264 동영상 표준 부호화 방식을 위한 변형된 가우시안 모델 기반의 저 계산량 전처리 필터 (A Modified Gaussian Model-based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard)

  • 송원선;홍민철
    • 한국통신학회논문지
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    • 제30권2C호
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    • pp.41-48
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    • 2005
  • 본 논문에서는 H.264 표준 부호화 방식의 성능 향상 및 저 계산량을 위한 가우시안 모델 기반의 전처리 필터에 대해 제안한다. 일반적인 영상 획득 장치에서 첨가된 노이즈에 의해 훼손된 동영상은 다수의 고주파 성분으로 인하여 시각적으로 불편한 현상과 압축 효율의 저하를 초래한다. 본 논문에서는 필터링 과정에서 국부 통계적 특성과 양자화 매개변수를 이용하여, 주어진 양자화 스텝 사이즈에서 노이즈 성분을 제거하고 시각적인 효과와 비트율을 개선시켜 압축 효율을 개선하고자 한다. 또한 전처리 필터의 계산량을 줄이기 위하여 간단한 형태의 국부 통계적 특성을 재 정의하고 노이즈에 대한 매개변수를 H.264의 변환과 양자화 과정을 통하여 유추하여 적용하였다. 제안된 방식의 성능을 실험 결과로부터 확인할 수 있었다.

Laplacian Pyramid Processing과 벡터 양자화 방법을 이용한 영상 데이터 압축 (Image Data Compression using Laplacian Pyramid Processing and Vector Quantization)

  • 박광훈;안동순;차일환;윤대희
    • 대한전자공학회논문지
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    • 제25권5호
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    • pp.550-558
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    • 1988
  • This paper presents laplacian pyramid vector quantization (LPVQ) approach in which a vector quantizer is used to encode a series of quasi-bandpassed images generated by the laplacian pyramid processing. Performance of the LPVQ is compared to those of DCT domain methods at the same bit rate via computer simulations. Experimental results show that the PSNR's (peak signal-to-noise ratio) for the LPVQ are almost the same as those of the DCT based methods. However, subjective study indicates the LPVQ obtains slightly higher scores than the DCT based techniques.

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Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

  • Bang, Gun;Hur, Namho;Lee, Seong-Whan
    • ETRI Journal
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    • 제36권2호
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    • pp.242-252
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    • 2014
  • Since July of 2012, the 3D video extension of H.264/AVC has been under development to support the multi-view video plus depth format. In 3D video applications such as multi-view and free-view point applications, synthesized views are generated using coded texture video and coded depth video. Such synthesized views can be distorted by quantization noise and inaccuracy of 3D wrapping positions, thus it is important to improve their quality where possible. To achieve this, the relationship among the depth video, texture video, and synthesized view is investigated herein. Based on this investigation, an edge noise suppression filtering process to preserve the edges of the depth video and a method based on a total variation approach to maximum a posteriori probability estimates for reducing the quantization noise of the coded texture video. The experiment results show that the proposed methods improve the peak signal-to-noise ratio and visual quality of a synthesized view compared to a synthesized view without post processing methods.

분산 동영상 부호화 시스템을 위한 효과적인 상관 잡음 모델링 및 성능평가 (Efficient Correlation Noise Modeling and Performance Analysis for Distributed Video Coding System)

  • 문학수;이창우;이성원
    • 한국통신학회논문지
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    • 제36권6C호
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    • pp.368-375
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    • 2011
  • 분산 동영상 부호화 시스템에서는 복호기에서 Wyner-Ziv 프레임을 복원하기 위해서 부호기에서 생성된 패리티비트를 사용하게 된다. 이때 오류 정정 부호로 터보 부호나 LDPC 부호가 사용되는데 복호기에서는 원 Wyner-Ziv 프레임을 모르기 때문에 오류 정정을 위한 효과적인 상관 잡음 모델링이 필요하다. 본 논문에서는 복호기에서 Wyner-Ziv 프레임과 부가정보 간의 상관 잡음을 효과적으로 모델링하기 위한 방법을 제안하고 추정한 상관 잡음 모델이 분산 동영상 부호화 시스템에 미치는 영향을 분석한다. 또한 모의실험을 위해 H.264 intraframe 부호화 방법으로 부호화된 키 프레임을 사용하였는데 부호기에서 동적으로 키 프레임 양자화 파라미터 값을 추정하기 위한 방법을 제안하고 성능을 해석한다.

Finite Alphabet Control and Estimation

  • Goodwin, Graham C.;Quevedo, Daniel E.
    • International Journal of Control, Automation, and Systems
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    • 제1권4호
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    • pp.412-430
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    • 2003
  • In many practical problems in signal processing and control, the signal values are often restricted to belong to a finite number of levels. These questions are generally referred to as "finite alphabet" problems. There are many applications of this class of problems including: on-off control, optimal audio quantization, design of finite impulse response filters having quantized coefficients, equalization of digital communication channels subject to intersymbol interference, and control over networked communication channels. This paper will explain how this diverse class of problems can be formulated as optimization problems having finite alphabet constraints. Methods for solving these problems will be described and it will be shown that a semi-closed form solution exists. Special cases of the result include well known practical algorithms such as optimal noise shaping quantizers in audio signal processing and decision feedback equalizers in digital communication. Associated stability questions will also be addressed and several real world applications will be presented.

Impovement of Image Reconstruction from Kinoform using Error-Diffusion Method

  • Fujita, Yuta;Tanaka, Ken-Ichi
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.638-643
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    • 2009
  • A computer-generated hologram(CGH) is made for three-dimensional image reconstruction of a virtual object which is a difficult to irradiate the laser light directly. One of the adverse effect factors is quantization of wave front computed by program when a computer-generated hologram is made. Amplitude element is not considered in Kinoform, it needs processing to reduce noise or false image. So several investigation was reported that the improvement of reconstructed image of Kinoform. Means to calculate the most suitable complex amplitude distribution are iterative algorithm, simulated annealing algorithm and genetic Algorithm. Error diffusion method reconstructed to separate the object as for the noise that originated in the quantization error. So it is efficient method to obtain high quality image with not many processing.

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