• Title/Summary/Keyword: Adaptive Signal Selection

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An Optimal Relay Selection and Adaptive Throughput Enhancement Scheme Utilizing Superposition Modulation (협력 통신에서 중첩 변조를 활용한 최적의 중계단 선정 및 적응적 전송률 향상 기법)

  • Kang, Sung-jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.10
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    • pp.1934-1936
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    • 2015
  • This paper proposes an optimal relay selection and adaptive throughput enhancement scheme utilizing superposition modulation in cooperative communication. The optimal relay is selected and the channel state is estimated by utilizing superposition modulation. The source determines the number of superimposed signal in accordance with the estated channel state. As a result, throughput is increased in accordance with the channel state.

Adaptive SLM Scheme Based on Peak Observation for PAPR Reduction of OFDM Signals (OFDM PAPR 감소를 위한 피크 신호 관찰 기반의 적응적 SLM 기법)

  • Yang, Suck-Chel;Shin, Yoan
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.15-16
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    • 2006
  • In this paper, we propose an adaptive SLM scheme based on peak observation for PAPR reduction of OFDM signals. The proposed scheme is composed of three steps: peak scaling, sequence selection, and SLM procedures. In the first step, the peak signal samples in the IFFT outputs of the original input sequence are scaled down. In the second step, the sub-carrier positions where power difference between the original input sequence and the FFT outputs of the scaled signal is large, are identified. Then, the phase sequences which have the maximum number of phase-reversed sequence words only for these positions, are selected. Finally, only using the selected phase sequences, the generic SLM procedure is performed for the original input sequence. Simulation results reveal that the proposed adaptive SLM remarkably reduces the complexity in terms of IFFT and PAPR calculations than the conventional SLM, while maintaining the PAPR reduction performance.

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Design and Implementation of OCQPSK/HPSK Modem using Digital Signal Processors for Software Defined Radio Applications

  • Cho, Pyung-Dong;Kang, Byeong-Gwon
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1428-1431
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    • 2002
  • It is general opinion that the future mobile multimedia networks will use different standards and a prospective solution to this problem will be software defined radio (SDR) techniques. SDR provides the flexibility to support multiple air interfaces and signal processing functions at the same time. Especially, digital signal processors and FPGAs are widely used for implementation of these adaptive and flexible functions of a baseband modem for SDR applications. Also, it is known that the modulation schemes of OCQPSK (Orthogonal Complex QPSK) and HPSK (Hybrid PSK) are used for IMT-2000 services of cdma2000 and WCDMA, respectively. Thus, in this paper, we design and implement an OCQPSK / HPSK modem using a DSP chip of Texas Instrument's TMS320C6701. One modulation scheme is operated by adaptive selection between the two schemes and 5 physical traffic channels differentiated by orthogonal codes are implemented in one DSP chip and each channel has 1Mbps data rates and 8Mcps chip rates.

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sEMG Signal based Gait Phase Recognition Method for Selecting Features and Channels Adaptively (적응적으로 특징과 채널을 선택하는 sEMG 신호기반 보행단계 인식기법)

  • Ryu, J.H.;Kim, D.H.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.7 no.2
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    • pp.19-26
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    • 2013
  • This paper propose a surface EMG signal based gait phase recognition method that selects features and channels adaptively. The proposed method can be used to control powered artificial prosthetic for lower limb amputees and can reduce overhead in real-time pattern recognition by selecting adaptive channels and features in an embedded device. The method can enhance the classification accuracy by adaptively selecting channels and features based on sensitivity and specificity of each subject because EMG signal patterns may vary according to subject's locomotion convention. In the experiments, we found that the muscles with highest recognition rate are different between human subjects. The results also show that the average accuracy of the proposed method is about 91% whereas those of existing methods using all channels and/or features is about 50%. Therefore we assure that sEMG signal based gait phase recognition using small number of adaptive muscles and corresponding features can be applied to control powered artificial prosthetic for lower limb amputees.

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New Tree Routing Protocol with Adaptive Metrics Based on Hop Count

  • BeomKyu Suh;Ismatov Akobir;Ki-Il Kim
    • Journal of information and communication convergence engineering
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    • v.22 no.3
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    • pp.207-214
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    • 2024
  • In wireless sensor networks, the implementation of routing protocols is crucial owing to their limited computational capacities. Tree routing is a suitable method in wireless sensors owing to its minimal routing overhead. However, single-hop metric schemes, such as hop count, cause congestion at specific nodes, whereas multiple metric schemes cannot control dynamically changing network environments. To address these issues, we propose a scheme to implement enhanced tree routing with adaptive metrics based on hop count. This approach assigns different weights to metrics to select suitable parent nodes based on hop count. The parent-selection algorithm utilizes hop count, buffer occupancy, and received signal strength indicator (RSSI) as metrics. This study evaluates the performance through simulation scenarios to analyze whether improvements can be made to address problems encountered in traditional tree routing. The performance metrics include packet delivery speed, throughput, and end-to-end delay, which vary depending on the volume of network traffic.

Tracking Performance Improvement of the Double-Talk Robust Algorithm for Network Echo Cancellation (네트워크 반향제거를 위한 동시통화에 강인한 알고리듬의 추적 성능 개선)

  • Yoo, Jae-Ha
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.195-200
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    • 2012
  • We present a new algorithm which can improve the tracking performance of the double-talk robust algorithm. A detection method of the echo path change and a modification method for the update equation of the conventional adaptive filter are proposed. A duration of the high error signal to scale parameter ratio varies according to the call status and this property is used to detect the echo path change. The proposed update equation of the adaptive filter improves the tracking performance by prohibiting wrong selection of the error signal. Simulations using real speech signals and echo paths of the ITU-T G.168 standard confirmed that as compared to the conventional algorithm, the proposed algorithm improved the tracking performance by more than 4 dB.

An Adaptive SLM Scheme Based on Peak Observation for PAPR Reduction in OFDM Systems (OFDM 시스템에서 PAPR 감소를 위한 피크 신호 관찰 기반의 적응적 SLM 기법)

  • Yang, Suck-Chel;Shin, Yo-An
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.12C
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    • pp.1142-1148
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    • 2007
  • In this paper, we propose ASLM (Adaptive Selective Mapping; ASLM) scheme based on peak observation for PAPR (Peak-to-Average Power Ratio) reduction of OFDM (Orthogonal Frequency Division Multiplexing) signals. The proposed scheme is composed of three steps: peak scaling, sequence selection, and SLM procedures. In the first step, the peak signal samples in the IFFT (Inverse Fast Fourier Transform) outputs of the original input sequence are scaled down. In the second step, the sub-carrier positions where the power difference between the original input sequence and the FFT output of the scaled signal is large, are identified. Then, the phase sequences having the maximum number of phase-reversed sequence words only for these positions are selected. Finally, the generic SLM procedure is performed by using only the selected phase sequences for the original input sequence. Simulation results show that the proposed scheme significantly reduces the complexity in terms of IFFT and PAPR calculation than the conventional SLM, while maintaining the PAPR reduction performance.

Design of Fuzzy Logic Adaptive Filters for Active Mufflers (능동 머플러를 위한 퍼지논리 적응필터의 설계)

  • Ahn, Dong-Jun;Park, Ki-Hong;Kim, Sun-Hee;Nam, Hyun-Do
    • Transactions of the Korean Society of Automotive Engineers
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    • v.19 no.4
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    • pp.84-90
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    • 2011
  • In active noise control filter, LMS algorithms which used for control filter, assure the convergence property, and computational burden of these algorithms are proportionate to the filter taps. The convergence speed of LMS algorithms is mainly determined by value of the convergence coefficient, so optimal selection of the value of convergence coefficient is very important. In this paper, We proposed novel adaptive fuzzy logic LMS algorithms with FIR filter structure which has better convergence speed and less computational burden than conventional LMS algorithms, for single channel active noise control with ill conditioned signal case. Computer simulations were performed to show the effectiveness of a proposed algorithms.

Adaptive Decode-and-Forward Cooperative Networks with Multiple Relay Nodes

  • Vu, Ha Nguyen;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • v.11 no.1
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    • pp.5-10
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    • 2011
  • We propose an adaptive cooperative scheme with a multi-relay node that achieves high bandwidth efficiency and achieves better SEP performance. In the proposed protocol, if the quality of the direct channel is better than that of the all channels from relays to destination, the source will transmit directly to the destination. Otherwise, the source broadcasts the signal and then a potential relay will be chosen to help the source. A re-transmission will also occur if the potential relay cannot be detected. The spectral efficiency is first derived by calculating the probability of each mode, i.e., direct and cooperation transmission. Subsequently, the SEP performance of M-PSK modulation for the scheme is analyzed by considering each event where the source transmits data to the destination. Finally, the obtained analytical results are verified through computer simulations.

The Separation of NTSC Signal Components by Using Adaptive Selection Method of Horizontal and Vertical Filters (수평 및 수직 필터의 적응적 선택에 의한 NTSC 칼라영상신호의 성분분리)

  • 권병헌;황병원
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.2
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    • pp.211-224
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    • 1994
  • In this paper, a multi-level adaptive intraframe method has been proposed to separate the luminance and chominance components in NTSC composite signal. The control signals are generated by detecting the vertical correlation and transition in the horizontal and diagonal directions. The chrominance component is adaptively processed through vertical and horizontal filters according to the control signals and the luminance component is processed by subtracting the chrominance component from the composite video signal. The several filters have been used at the sampling rate of four times the color subcarrier frequency and computer simulation and SVP(Serial Video Processing) system have been introduced to compare the performance of the conventional methods and that of proposed one.

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