• 제목/요약/키워드: oversampled filter bank

검색결과 2건 처리시간 0.019초

Design of M-Channel IIR Uniform DFT Filter Banks Using Recursive Digital Filters

  • Dehghani, M.J.;Aravind, R.;Prabhu, K.M.M.
    • ETRI Journal
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    • 제25권5호
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    • pp.345-355
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    • 2003
  • In this paper, we propose a method for designing a class of M-channel, causal, stable, perfect reconstruction, infinite impulse response (IIR), and parallel uniform discrete Fourier transform (DFT) filter banks. It is based on a previously proposed structure by Martinez et al. [1] for IIR digital filter design for sampling rate reduction. The proposed filter bank has a modular structure and is therefore very well suited for VLSI implementation. Moreover, the current structure is more efficient in terms of computational complexity than the most general IIR DFT filter bank, and this results in a reduced computational complexity by more than 50% in both the critically sampled and oversampled cases. In the polyphase oversampled DFT filter bank case, we get flexible stop-band attenuation, which is also taken care of in the proposed algorithm.

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A Simplified Zero-Forcing Receiver for Multi-User Uplink Systems Based on CB-OSFB Modulation

  • Bian, Xin;Tian, Jinfeng;Wang, Hong;Li, Mingqi;Song, Rongfang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권5호
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    • pp.2275-2293
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    • 2020
  • This paper focuses on the simplified receiver design for multi-user circular block oversampled filter bank (CB-OSFB) uplink systems. Through application of discrete Fourier transform (DFT), the special banded structure and circular properties of the modulation matrix in the frequency domain of each user are derived. By exploiting the newly derived properties, a simplified zero-forcing (ZF) receiver is proposed for multi-user CB-OSFB uplink systems in the multipath channels. In the proposed receiver, the matrix inversion operation of the large dimension multi-user equivalent channel matrix is transformed into DFTs and smaller size matrix inversion operations. Simulation is given to show that the proposed ZF receiver can dramatically reduce the computational complexity while with almost the same symbol error rate as that of the traditional ZF receiver.