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As usual, the prediction is carried out using the quantized values of the past inputs.
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The results in Figure 4 were obtained using the quantized IID and ICC values in order to simulate the problem on the decoder side.
Simulation results using the quantized correction term are shown in Figs. 9 and 10.
The aim of this paper is focused on the design of full order filters by using the quantized sampled outputs.
The search algorithm selects the quantized features among the rows of the matrix Q according to the bits of each candidate solution, and then evaluate the classifier using the quantized features.
That is the reason we use the quantized RSS value in Eq. (3) instead of the adjusted RSS value, as is.
The number of bits used to represent the quantized value h ̃ s n dif, B M, can be lower than the number of bits used to quantize R { h s ′ n } and I { h s ′ n }, B R, due to the significantly lower variance of h s n / h ̃ s ′ n.
The DCT coefficients are quantized by appropriately choosing the quantization parameter, and the quantized values are then run-length and Huffman coded.
In the HDA-TC system, the quantized values of S are transmitted digitally and the analog quantization error vector (pmb {epsilon }=pmb {X}-hat {pmb {X}}) is transmitted over the same bandwidth by using linear bandwidth expansion, as in the case of HDA-PQ.
The quantized values are then split into bitplanes which go through a Turbo encoder.
Let (widehat {H}_{1}, ldots, widehat {H}_{n}) denote the quantized values of channel state H.
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