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To reduce the amount of information to be exchanged, we assume the quantity γ ̂ k [ n ] to be quantized on a logarithmic scale using a uniform B-bit quantizer.
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The amplitudes are quantized on a dB scale and differentially encoded along a track using Huffman coding.
So, what he did was kind of impose a quantum mechanical model, not a full one, just the idea that those energy levels were quantized on to the classical picture of an atom that has a discreet orbit.
Results are quantized on 9 bits.
Lapr,Dem ci,q) are quantized on 8 bits as shown in Table 2.
The secondary transmission powers P l, t are quantized on ϕ = 15 levels and the local coordinates x l, t of the secondary users are quantized on ξ = 10 levels.
The result is quantized on 11 bits.E[x] represents here the ordinary rounding of the positive number x to the nearest integer.
The compressed signal, now occupying a narrower dynamic range, can be quantized with a uniform, or linear, spacing of thresholds and output levels.
The Grassmannian line packings introduced above assume that the effective channel direction to be quantized is isotropically distributed on the Grassmannian manifold G N i, 1.
We denote B as the number of feedback bits for H k,i. The receiver k first expands the CSI H k,i into a vector h k,i, which is quantized based on a local codebook (mathcal {C}) as bar{mathbf{h}}_{k,i} = arg min_{omega_{m} in mathcal{C}} textmd{dist}left(mathbf{h}_{k,i}, omega_{m}right) (10).
The gain is quantized uniformly on a dB scale and Huffman encoded.
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