• Title/Summary/Keyword: multi-channel operation

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The Implementation of Multi-Channel Audio Codec for Real-Time operation (실시간 처리를 위한 멀티채널 오디오 코덱의 구현)

  • Hong, Jin-Woo
    • The Journal of the Acoustical Society of Korea
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    • v.14 no.2E
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    • pp.91-97
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    • 1995
  • This paper describes the implementation of a multi-channel audio codec for HETV. This codec has the features of the 3/2-stereo plus low frequency enhancement, downward compatibility with the smaller number of channels, backward compatibility with the existing 2/0-stereo system(MPEG-1 audio), and multilingual capability. The encoder of this codec consists of 6-channel analog audio input part with the sampling rate of 48 kHz, 4-channel digital audio input part and three TMS320C40 /DSPs. The encoder implements multi-channel audio compression using a human perceptual psychoacoustic model, and has the bit rate reduction to 384 kbit/s without impairment of subjective quality. The decoder consists of 6-channel analog audio output part, 4-channel digital audio output part, and two TMS320C40 DSPs for a decoding procedure. The decoder analyzes the bit stream received with bit rate of 384 kbit/s from the encoder and reproduces the multi-channel audio signals for analog and digital outputs. The multi-processing of this audio codec using multiple DSPs is ensured by high speed transfer of date between DSPs through coordinating communication port activities with DMA coprocessors. Finally, some technical considerations are suggested to realize the problem of real-time operation, which are found out through the implementation of this codec using the MPEG-2 layer II sudio coding algorithm and the use of the hardware architecture with commercial multiple DSPs.

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Fixed-point Optimization of a Multi-channel Digital Hearing Aid Algorithm (다중 채널 디지털 보청기 알고리즘의 고정 소수점 연산 최적화)

  • Lee, Keun Sang;Baek, Yong Hyun;Park, Young Chul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.2
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    • pp.37-43
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    • 2009
  • In this study, multi-channel digital hearing aid algorithm for low power system is proposed. First, MDCT(Modified Discrete Cosine Transform) method converts time domain of input speech signal into frequency domain of it. Output signal from MDCT makes a group about each channel, and then each channel signal adjusts a gain using LCF(Loudness Compensation Function) table depending on hearing loss of an auditory person. Finally, compensation signal is composed by TDAC and IMDCT. Its all of process make progress 16-bit fixed-point operation. We use fast-MDCT instead of MDCT for reducing system complexity and previously computed tables instead of log computation for estimating a gain. This algorithm evaluate through computer simulation.

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Real-time Implementation of Dolby Pro Logic Decoder Using ARM-7 Core (ARM-7 코어를 이용한 Dolby Pro Logic 복호기의 실시간 구현)

  • 이창우;이상근;조재문
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.8B
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    • pp.1412-1420
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    • 1999
  • In order to enhance multi-channel audio signals, Dolby Pro Logic is widely used especially for the Hi-Fi audio system, since it can provide highly stereophonic effects and a nice separation of multi-channel sound. This paper describes an implementation of Dolby Pro Logic decoder with ARM-7 core. The code is modified for the fixed point operation and optimized. For the verification of the code, the operation time and the precision are estimated thoroughly. As a result, it is verified that Dolby Pro Logic decoder can be implemented with ARM-7 core operating at 54 MHz.

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Channel Modeling for Mobile-to-Mobile Communications Based on IEEE 802.16n (IEEE 802.16n 기반 단말간 직접통신을 위한 채널 모델링)

  • Lee, Sae-Rom;Lee, Kyu-Bum;Chang, Sung-Cheol;Yoon, Chul-Sik;Choi, Ji-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.9A
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    • pp.767-775
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    • 2011
  • In this paper, we propose a new multi-input multi-output (MIMO) channel modeling method for mobile-to-mobile (M2M) communications based on IEEE 802.16n. To reflect the mobilities at the transmitter and the receiver, we propose a new channel model by invoking the geometrical two-ring scattering model and modifying the conventional IEEE 802.16m fixed-to-mobile (F2M) channel model considering M2M communication environments. Through computer simulations, we analyze the statistical properties of proposed channel model in terms of the time correlation and the spatial correlation. Finally, the performance of the system using the proposed M2M channel model is compared with that using the conventional 802.16m F2M channel model by link level simulations.

Improved Blind Multipath Estimation for Long Code DS-CDMA

  • Yu Qian;Bi Guoan;Zhang Gaonan
    • Journal of Communications and Networks
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    • v.7 no.3
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    • pp.278-283
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    • 2005
  • This paper proposes a blind channel estimation scheme for long code direct sequence code division multiple access (DS­CDMA) systems with multipath fading channels. This scheme combines the advantages of Toeplitz displacement and correlation matching methods to achieve improved performance. The basic idea is to remove the effects of noise and interferences with Toeplitz displacement operation and then estimate the multi path channel parameters with the correlation matching method. Simulation results are presented to show that the proposed scheme provides better MSE performance and robustness against the near-far problem.

Partly Random Multiple Weighting Matrices Selection for Orthogonal Random Beamforming

  • Tan, Li;Li, Zhongcai;Xu, Chao;Wang, Desheng
    • Journal of Communications and Networks
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    • v.18 no.6
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    • pp.892-901
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    • 2016
  • In the multi-user multiple-input multiple-output (MIMO) system, orthogonal random beamforming (ORBF) scheme is proposed to serve multiple users simultaneously in order to achieve the multi-user diversity gain. The opportunistic space-division multiple access system (OSDMA-S) scheme performs multiple weighting matrices during the training phase and chooses the best weighting matrix to be used to broadcast data during the transmitting phase. The OSDMA-S scheme works better than the original ORBF by decreasing the inter-user interference during the transmitting phase. To save more time in the training phase, a partly random multiple weighting matrices selection scheme is proposed in this paper. In our proposed scheme, the Base Station does not need to use several unitary matrices to broadcast pilot symbol. Actually, only one broadcasting operation is needed. Each subscriber generates several virtual equivalent channels with a set of pre-saved unitary matrices and the channel status information gained from the broadcasting operation. The signal-to-interference and noise ratio (SINR) of each beam in each virtual equivalent channel is calculated and fed back to the base station for the weighting matrix selection and multi-user scheduling. According to the theoretical analysis, the proposed scheme relatively expands the transmitting phase and reduces the interactive complexity between the Base Station and subscribers. The asymptotic analysis and the simulation results show that the proposed scheme improves the throughput performance of the multi-user MIMO system.

Quantitative Analysis on Voltage Schemes for Reliable Operations of a Floating Gate Type Double Gate Nonvolatile Memory Cell

  • Cho, Seong-Jae;Park, Il-Han;Kim, Tae-Hun;Lee, Jung-Hoon;Lee, Jong-Duk;Shin, Hyung-Cheol;Park, Byung-Gook
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.5 no.3
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    • pp.195-203
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    • 2005
  • Recently, a novel multi-bit nonvolatile memory based on double gate (DG) MOSFET is proposed to overcome the short channel effects and to increase the memory density. We need more complex voltage schemes for DG MOSFET devices. In view of peripheral circuits driving memory cells, one should consider various voltage sources used for several operations. It is one of the key issues to minimize the number of voltage sources. This criterion needs more caution in considering a DG nonvolatile memory cell that inevitably requires more number of events for voltage sources. Therefore figuring out the permissible range of operating bias should be preceded for reliable operation. We found that reliable operation largely depends on the depletion conditions of the silicon channel according to charge amount stored in the floating gates and the negative control gate voltages applied for read operation. We used Silvaco Atlas, a 2D numerical simulation tool as the device simulator.

Maximization of Zero-Error Probability for Adaptive Channel Equalization

  • Kim, Nam-Yong;Jeong, Kyu-Hwa;Yang, Liuqing
    • Journal of Communications and Networks
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    • v.12 no.5
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    • pp.459-465
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    • 2010
  • A new blind equalization algorithm that is based on maximizing the probability that the constant modulus errors concentrate near zero is proposed. The cost function of the proposed algorithm is to maximize the probability that the equalizer output power is equal to the constant modulus of the transmitted symbols. Two blind information-theoretic learning (ITL) algorithms based on constant modulus error signals are also introduced: One for minimizing the Euclidean probability density function distance and the other for minimizing the constant modulus error entropy. The relations between the algorithms and their characteristics are investigated, and their performance is compared and analyzed through simulations in multi-path channel environments. The proposed algorithm has a lower computational complexity and a faster convergence speed than the other ITL algorithms that are based on a constant modulus error. The error samples of the proposed blind algorithm exhibit more concentrated density functions and superior error rate performance in severe multi-path channel environments when compared with the other algorithms.

Rational Operation through International Case Studies on SO Operating Channel (직접사용채널의 해외사례 검토를 통한 합리적 운영 방안)

  • Kim, Hee-Kyung;Cha, Young-Ran
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.93-107
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    • 2011
  • SO and Satellite Broadcaster can operate SO Operating channel in Korea. However, the Broadcasting act does not specify the direction of what purpose the SO operating channel would be operated for. Accordingly, SO and Satellite Broadcaster do not operate SO operating channel or use it as profit channel when operating. In this respect, the cases of U.S. and Japan have been studied to determine how SO operating channel should be operated to make it desirable. In the U.S., it is being used in various ways such as profit channel, multi-access channel and access channel. In Japan, it is mainly focused on the role as local channel, being coordinated with local governments to form public opinion on local news and issues or to announce local events. In Korea, SO is operating local channel similar to the one in Japan rather than SO operating channel, while Satellite Broadcasting is operating SO operating channel mainly for its profits. As SO operating channel is operated on the basis of the broadcasters' expediency without clear stipulation in Korea, we will need to seek the plan to use it for public interests by discussing more the status and operation of SO operating channel.

Implementation of Instruction-Level Disassembler Based on Power Consumption Traces Using CNN (CNN을 이용한 소비 전력 파형 기반 명령어 수준 역어셈블러 구현)

  • Bae, Daehyeon;Ha, Jaecheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.527-536
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    • 2020
  • It has been found that an attacker can extract the secret key embedded in a security device and recover the operation instruction using power consumption traces which are some kind of side channel information. Many profiling-based side channel attacks based on a deep learning model such as MLP(Multi-Layer Perceptron) method are recently researched. In this paper, we implemented a disassembler for operation instruction set used in the micro-controller AVR XMEGA128-D4. After measuring the template traces on each instruction, we automatically made the pre-processing process and classified the operation instruction set using a deep learning model CNN. As an experimental result, we showed that all instructions are classified with 87.5% accuracy and some core instructions used frequently in device operation are with 99.6% respectively.