• 제목/요약/키워드: Binary soft mapping

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AN APPLICATION OF BINARY SOFT MAPPINGS TO THE PROBLEM IN MEDICAL EXPERT SYSTEMS

  • HUSSAIN, SABIR;ALKHALIFAH, MASHAEL M.A.
    • Journal of applied mathematics & informatics
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    • 제38권5_6호
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    • pp.533-545
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    • 2020
  • We initiate and introduce the notion of binary soft mapping, which is defined on collection of binary soft sets named as binary soft class over two initial universes U1 and U2 with fixed set of parameters. We also define and study the properties of binary soft images and binary soft inverse images of binary soft sets. Examples and counter examples are also given in support of presented properties. Moreover, these concepts are applied to the problem of medical diagnosis in medical expert systems.

A Low-Complexity CLSIC-LMMSE-Based Multi-User Detection Algorithm for Coded MIMO Systems with High Order Modulation

  • Xu, Jin;Zhang, Kai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권4호
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    • pp.1954-1971
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    • 2017
  • In this work, first, a multiuser detection (MUD) algorithm based on component-level soft interference cancellation and linear minimum mean square error (CLSIC-LMMSE) is proposed, which can enhance the bit error ratio (BER) performance of the traditional SIC-LMMSE-based MUD by mitigating error propagation. Second, for non-binary low density parity check (NB-LDPC) coded high-order modulation systems, when the proposed algorithm is integrated with partial mapping, the receiver with iterative detection and decoding (IDD) achieves not only better BER performance but also significantly computational complexity reduction over the traditional SIC-LMMSE-based IDD scheme. Extrinsic information transfer chart (EXIT) analysis and numerical simulations are both used to support the conclusions.

반복등화를 위한 LLR 연판정 비트 정보를 이용한 M-QAM 심벌 Remapping (M-QAM Symbol Remapping Using LLR Soft Bit Information for Iterative Equalization)

  • 김근배;박상규
    • 한국전자파학회논문지
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    • 제22권10호
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    • pp.1020-1023
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    • 2011
  • 본 논문에서는 반복 복호 후 얻게 되는 LLR(Log Likelihood Ratio)로 표현되는 연판정 비트 정보를 이용하여 송신된 BRGC(Binary Reflected Gray Code) M-QAM(M-ary Quadrature Amplitude Modulation) 신호 심벌을 remapping하는 방법을 제시한다. Remapping하기 위해서는 지수함수(exponential function)연산이나 하이퍼블릭 탄젠트(tanh) 함수를 이용하여야 한다. BRGC의 맵핑 법칙에 의해 심벌 remapping은 재귀(recursive) 연산을 이용한다. 또한, 구현 복잡도를 줄이기 위하여 curve fitting 방식을 제안한다.