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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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Aiming at the requirements of phase comparison without frequency normalization, a high-precision frequency measurement system is proposed based on different frequency quantization phase comparison.
Our method is based on vector quantization, which is one of the popular image compression techniques.
In practice, the sequence u can be obtained by integrating the difference equation (1) based on an associated "quantization rule," q n = Q ( u n - 1, u n - 2,..., x n, x n - 1,... ) (2).
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.
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