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A novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time for underwater acoustic networks based on the improved minimum mean square error
Published 2020-12-01“…Finally, we perform experiments for comparing the bit error ratio, energy consumption, processing delay, and complexity of the proposed algorithm with zero-forcing Vertical-Bell Laboratories Layered Space-Time, minimum mean square error Vertical-Bell Laboratories Layered Space-Time, and maximum likelihood Vertical-Bell Laboratories Layered Space-Time. …”
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30 years of the quantum cascade laser
Published 2024-12-01“…It was January 1994, when the first quantum cascade laser (QCL) displayed laser action in Bell Laboratories. During these 30 years the QCL evolved incessantly, from a lab curiosity to the main on-chip source of coherent radiation in the Mid-IR and THz ranges. …”
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Determination of the response of a class of nonlinear time invariant systems
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Novel antenna selection algorithm for STBC and VBLAST hybrid coding systems
Published 2009-01-01“…Multiple-input multiple-output (MIMO) systems improve the bit error rate (BER) performance, meanwhile,in order to reduce the impact to system capacity, a novel antenna selection algorithm for space-time block coding (STBC) and vertical Bell laboratories layered space time (VBLAST) hybrid coding systems was proposed. …”
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Safe Zones for Shock-Protection of Fragile Components during Impact-Induced Clatter
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Perfect space-time block codes and high performance decoding algorithm
Published 2007-01-01“…Based on the structure of perfect space-time block codes(STBC),an equivalent vertical Bell Laboratories layered space-time(V-BLAST) decoding model was given.Minimum mean-square error decision feedback equalizer(MMSE-DFE) was used to preprocess this model and a decoder with boundary controlled Fano tree search algorithm was proposed.This decoder achieves almost maximum likelihood(ML) decoding performance and applies for any antenna configurations.For a wide range of signal-to-noise ratio(SNR),the decoder has lower computational complexity than that of previously proposed near-ML decoders.Operating in complex number field,the decoder is robust for any constellations.The decoder can apply for any multi-input multi-output(MIMO) systems that can be transformed into an equivalent V-BLAST model.Simulation results demonstrate the excellent performance of the proposed decoder.…”
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