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Each entry in γ ¯ is applied to a uniform quantizer with quantization interval Δ (and clipping) for subsequent fixed-point processing using a signed, 8-bit representation.
The quantization interval of the static quantizer part is strongly related to the data size.
The azimuths on the circle in the quantization interval region will be quantized as the inside quantization codeword.
That means the azimuths in each quantization interval region will be quantized as the quantization codeword inside the region.
We assume a uniform quantizer with saturation levels L=2 and quantization interval d=2.
The static uniform quantizer can be described by two parameters, the quantization interval (d in mathbb {R}_) and the saturation level (L in mathbb {Z}_).
When one designs a quantizer for a given source, the size of the quantization interval depends on the variance of the input.
The quantized version of Y n is defined as the lower end of the quantization interval that includes Y n, denoted as Ŷ n, to ensure Ŷ n ≤ Y n, which can avoid the outage led by optimistic estimation of channel norm and also simplify the analysis.
where is the quantization interval.
Otherwise, it truncates the DCT value into the quantization interval.
where Δ = 2W/(M - 1) is the quantization interval.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com