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In this section, a semi-fragile speech watermarking technique is proposed based on angle quantization of the energy ratio between two blocks, which is highly sensitive to any manipulation.
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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).
We propose algorithms based on uniform quantization and sequential search to solve the corresponding non-convex optimization problems.
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.
Based on the quantization noise characteristics, various demodulator filter architectures, such as optimal FIR, Sinc filter and non-linear filters are reported in the literature.
We show a fast clustering and search operations for correct panel utilization based on size quantization as design variable and implemented via Voronoi segmentation.
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.
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