For any azimuth in a circle of 360°, if the azimuth is quantized with quantization error below the corresponding azimuthal JND (or MAA), then the azimuth is perceptually losslessly quantized.
The idea behind QBC is to choose the antenna combining weights such as to generate an effective channel that can be quantized with minimal quantization error, given the quantization codebook Q ⊆ ℂ N i, | | q | | = 1, ∀ q ∈ Q.
Transform coefficients are quantized with a scalar quantizer.
The random projections are quantized with a uniform scalar quantizer with step size.
Due to DCT grid aligned double JPEG compression, all DCT coefficients present at a specific frequency in 8 × 8 blocks are quantized with the same set of quantization steps q1 ∈ Q1 and q2 ∈ Q2 respectively, where Q1 and Q2 represents the primary and secondary quantization tables.
Each DCT band is independently quantized using a collection of predefined quantization matrices (QMs) [26], where the DC and the AC bands are quantized with a uniform and double-deadzone scalar quantizer, respectively.
Therefore, the quantization boundaries expand such that high SNRs are quantized with higher resolution.
Each dimension of the observation y(t) is quantized with 14 bits, and the dynamic range for quantization is [−432,432].
Therefore, it is very likely that the performances of the proposed LT coding algorithm can be significantly improved by using high-performance (but more complex) quantizers,13 since the reduced set of LSF vectors may be quantized with lower ASD/resolution compared to the MS-VQ.
The precoding vectors are quantized with C bits, so the PMI feedback is C bits.
All test speeches are quantized with 16 bits and sampled at 16 KHz.
