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Furthermore, our results show that 1-bit quantization with oversampling at the receiver can yield comparable and even superior spectral efficiency than conventional methods based on amplitude quantization when operating in the low quantization regime with the same number of comparator operations per time interval.
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Our method is based on vector quantization, which is one of the popular image compression techniques.
In this paper, we propose a new feedback design based on vector quantization.
This paper proposes a nearest neighbor classifier design method based on vector quantization (VQ).
Therefore, the SNR increases with the quantization index and scheduling based on the quantization indices works the same as scheduling based on the SNRs.
However, most previous research works, such as [3 5], were based on suboptimal quantization method.
We also consider SP-DKLT code designs based on scalar quantization.
We propose algorithms based on uniform quantization and sequential search to solve the corresponding non-convex optimization problems.
Since ICLD can be converted to azimuth, the quantization of ICLD can be easily achieved based on the quantization codebook of azimuth as the process procedure illustrated in Fig. 8. Fig. 8 Framework of ICLD quantization.
New evidence based on the quantization effect indicates a high degree of adjacent re-entry in regime I for the lower molecular weight fractions.
We design a distributed encoding-decoding scheme based on difference quantization with dynamic scaling and a control protocol based on a symmetric compensation method.
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