• Title/Summary/Keyword: channel decomposition

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A Study on Digital Watermarking Technique Using Decomposition Perceptual Channel (Decomposition Perceptual Channel을 이용한 디지털 워터마킹 기법)

  • 김영민;이규대;박세준
    • Proceedings of the Korea Multimedia Society Conference
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    • 2002.11b
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    • pp.238-241
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    • 2002
  • 본 논문에서는 워터마크가 갖추어야 할 요소 중 하나인 비가시성과 강인성을 만족하기 위하여 변환된 DFT주파수 영역에 HVS의 DPC(Decomposition Perceptual Channel)를 사용하였다. 워터마크의 삽입 위치를 실험적으로 최적 Channel을 도출하였으며, 실험을 통하여 다양한 공격에 대한 강인성을 확인하였다.

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Nonlinear Lattice Algorithms using QRD and Channel Decomposition (QR 분해와 채널 분해법을 이용한 비선형 격자 알고리듬)

  • 안봉만;백흥기
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.10
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    • pp.1326-1337
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    • 1995
  • In this paper, we transformed the bilinear filter into an equivalent linear multichannel filter and derived QR decomposition based recursive least squares algorithms for bilinear lattice filters. We also defined order update relation of the forward and the backward input vectors by using the channel decomposition. The forward and the backward data matrices were defined by using the forward and the backward input vectors and orthogonalized with the QR decomposition. we can obtain the lattice equations of the bilinear filters by using the channel decomposition. we can be derived the lattice equations of the bilinear filters using this decomposition process which are the same as the lattice equations derived by Baik, we can use the coefficient transformation algorithm proposed by Baik. We derived the equation error and the output error algorithm of the QRD based RLS bilinear lattice algorithm. Also, we evaluated the performance of the proposed algorithms through the system identification of the bilinear system.

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Pseudo Jacket Matrix and Its MIMO SVD Channel (Pseudo Jacket 행렬을 이용한 MIMO SVD Channel)

  • Yang, Jae-Seung;Kim, Jeong-Su;Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.5
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    • pp.39-49
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    • 2015
  • Some characters and construction theorems of Pseudo Jacket Matrix which is generalized from Jacket Matrix introduced by Jacket Matrices: Construction and Its Application for Fast Cooperative Wireless signal Processing[27] was announced. In this paper, we proposed some examples of Pseudo inverse Jacket matrix, such as $2{\times}4$, $3{\times}6$ non-square matrix for the MIMO channel. Furthermore we derived MIMO singular value decomposition (SVD) pseudo inverse channel and developed application to utilize SVD based on channel estimation of partitioned antenna arrays. This can be also used in MIMO channel and eigen value decomposition (EVD).

Implementation of Software Defined Radio Module for Channel Decomposition and Composition of Multiple CDMA Signal (다중 CDMA 신호의 채널 분리합성을 위한 Software Defined Radio 모듈의 구현)

  • Rho Byeon-Ho;Jeong Sang-Guk;Rho Seung-Ryong;Kim Yun-Il
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.5
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    • pp.438-443
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    • 2006
  • In this paper, We had proposed SDR module, and designed FPGA to compose with channel separation of broadband CDMA signal what have multiple FA. At decomposition and composition process of multiple FA CDMA signal, system only progress decomposition and composition of channel selected by software. Therefore, proposed system can manage base station transceiver system very effectively than the other way what send on all band of multiple CDMA signal. Also, it is possible that system sets again coefficient of each filter because it is consisted of SDR module. Therefore, we can easily control coefficient each filter according to base station transceiver system environment.

Successive Cancellation Decoding of Polar Codes : Channel Synthesis and Decomposition (극 부호의 연속 제거 복호 : 채널의 합성과 분리)

  • Lee, Moon-Ho;Li, Jun;Park, Ju-Yong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.4
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    • pp.24-36
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    • 2011
  • In this paper, we verify the channel synthesis and decomposition of polar codes using successive cancellation decoding algorithm over binary discrete memoryless symmetric channel by modifying Arikan's algebraic formular on encoding and decoding of polar codes. In addition, we found that information bits are sent by efficiently consisting of polar codes with their size $2^n$ through polarizing matrix ${G_2}^{{\otimes}n}$ over binary discrete memoryless symmetric channel W. Expecially, if $N{\geq}2$, the complexity of Arikan's encoding and decoding for polar codes is O($Nlog_2N$). Furthermore, we found that polar codes are one of the solution to the challenging problems for the multipoint communication.

Block Diagonal Decomposition Using Uniform Channel Decomposition for Multicell MIMO Broadcast Channels (다중 셀 MIMO 하향채널에서의 UCD를 이용한 블록 대각 분해)

  • Park, Yu-han;Park, Daeyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2331-2342
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    • 2015
  • In this paper, we design non-linear transmitter and receiver using a uniform channel decomposition (UCD) to take account of inter-cell interference in multi-cell downlink systems. The designed UCD scheme brings forth the same SINR for all sub-channels in each cell. It provides great convenience to modulation/coding process and achieves the maximum diversity gain. The simulation results confirm that it exhibits a lower BER than the conventional method.

A Single Channel Voice Activity Detection for Noisy Environments Using Wavelet Packet Decomposition and Teager Energy (웨이블렛 패킷 변환과 Teager 에너지를 이용한 잡음 환경에서의 단일 채널 음성 판별)

  • Koo, Boneung
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.2
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    • pp.139-145
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    • 2014
  • In this paper, a feature parameter is obtained by applying the Teager energy to the WPD(Wavelet Packet Decomposition) coefficients. The threshold value is obtained based on means and standard deviations of nonspeech frames. Experimental results by using TIMIT speech and NOISEX-92 noise databases show that the proposed algorithm is superior to the typical VAD algorithm. The ROC(Receiver Operating Characteristics) curves are used to compare performance of VAD's for SNR values of ranging from 10 to -10 dB.

Adaptive Eigenvalue Decomposition Approach to Blind Channel Identification

  • Byun, Eul-Chool;Ahn, Kyung-Seung;Baik, Heung-Ki
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.317-320
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    • 2001
  • Blind adaptive channel identification of communication channels is a problem of important current theoretical and practical concerns. Recently proposed solutions for this problem exploit the diversity induced by antenna array or time oversampling leading to the so-called, second order statistics techniques. And adaptive blind channel identification techniques based on a off-line least-squares approach have been proposed. In this paper, a new approach is proposed that is based on eigenvalue decomposition. And the eigenvector corresponding to the minimum eigenvalue of the covariance matrix of the received signals contains the channel impulse response. And we present a adaptive algorithm to solve this problem. The performance of the proposed technique is evaluated over real measured channel and is compared to existing algorithms.

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Robust Primary-ambient Signal Decomposition Method using Principal Component Analysis with Phase Alignment (위상 정렬을 이용한 주성분 분석법의 강인한 스테레오 음원 분리 성능유지 기법)

  • Baek, Yong-Hyun;Hyun, Dong-Il;Park, Young-Cheol
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.64-74
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    • 2014
  • The primary and ambient signal decomposition of a stereo sound is a key step to the stereo upmix. The principal component analysis (PCA) is one of the most widely used methods of primary-ambient signal decomposition. However, previous PCA-based decomposition algorithms assume that stereo sound sources are only amplitude-panned without any consideration of phase difference. So it occurs some performance degradation in case of live recorded stereo sound. In this paper, we propose a new PCA-based stereo decomposition algorithm that can consider the phase difference between the channel signals. The proposed algorithm overcomes limitation of conventional signal model using PCA with phase alignment. The phase alignment is realized by using inter-channel phase difference (IPD) which is widely used in parametric stereo coding. Moreover, Enhanced Modified PCA(EMPCA) is combined to solve the problem of conventional PCA caused by Primary to Ambient energy Ratio(PAR) and panning angle dependency. The simulation results are presented to show the improvements of the proposed algorithm.

Equal Gain Block Decomposition Methods for Multiuser MIMO Networks

  • Hwang, Insoo;Kang, Inseok;Hwang, Intae;You, Cheolwoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.3
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    • pp.1156-1173
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    • 2021
  • In this paper, we propose a new joint precoder and postcoder design strategy to support multiple streams per user in multiuser multiple-input multiple-output (MIMO) systems. We propose two step precoding strategies using equal channel gain decomposition and block diagonalization at the transmitter. With the proposed precoder, the multiuser MIMO channel can be decomposed into multiple parallel channels with equal channel gain per user. After applying receive postcoder which is generated and sent by the transmitter, we can use ML based decoder per stream to achieve full receive diversity. Achievable sum rate bound and diversity performance of the proposed algorithm are presented with feedback signaling design and quantitative complexity analysis. Simulation results show that the proposed algorithm asymptotically approaches to the sum rate capacity of the MIMO broadcast channel while maintaining full diversity order.