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However, the method in [11] cannot incorporate the system connected to the quantizer into its design, while we consider a non-ideal output filter to minimize the quantization noise.
Rounding arithmetic is used in to minimize the quantization error at the lower side of data.
Traditionally, the codebook generation methods adopted in the BoW techniques are designed to minimize the quantization error, rather than optimize the classification accuracy.
To minimize the quantization error on background areas for improving the quality of the McFIS, T p can be approximated as T p = 0.6513e 0.0861 × QP. Figure 5 Proposed threshold T p as a function of QPs.
Then, inspired by multi-class spectral clustering and the orthogonal Procrustes problem, which both are widely used in image retrieval field, we learn an optimized rotation to minimize the quantization error of mapping data to the vertices of a zero-centered binary hypercube by using iterative quantization scheme.
We wish to find the optimal transform and the allocation of B bits among M1 transform coefficients, which minimize the quantization MSE E X - X ^ 2, where X ^ = E { X | U ^, Y } is the optimal estimate (at the decoder) of the source vector.
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Uniform quantization is the Lloyd-Max quantizer that minimizes the quantization distortion of uniformly distributed sources [25, 26].
In that way, QBC is confined to calculate the antenna combining weights such that the effective channel lies in the k-dimensional dominant subspace of the channel, while simultaneously minimizing the quantization error.
We minimize the weighted quantization noise in the output of the Δ Σ modulator.
The reason is that since the MISO OFDMA systems are more sensitive to interference, it is important to minimize the CDI quantization error.
Thus, we were interested in finding ideal intervals for the tested parameters that could simultaneously minimize the mean quantization error, while maximizing the mean neuron utility.
More suggestions(15)
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