In the companding quantization, the input is first transformed using a nonlinear compressor function, then further quantized using the uniform quantizer, and finally restored in expander using the inverse nonlinear function.
In the beginning of this section, we present the theoretical results for two variants of the scalar companding system based on G.
Firstly, the initial values of TL and TR are all set as 0, then the pure payload and overhead data are embedded into the detailed sub-bands of every block using the companding technique on IWT domain according to the strategy presented in Section 3.
From the extracted LSBs, the pure payload and the overhead data involving the preprocessing thresholds TL, TR, the compressed location map, the companding error e and the threshold matrix T can be separated.
It shows 3 times better BW efficiency difference from both nocompanding & companding processes.
Furthermore, a considerable reduction in PAPR is obtained through companding of the signal.
where C(x) is the proposed companding
function that changes only the amplitudes of input signals.
Motivated by the preferred application of piecewise linear transforms in companding
schemes presented in recent works , in this paper, we propose a novel piecewise linear transform.
1 shows the block diagram of a typical OFDM system with the proposed adaptive companding
The goal of this paper is to propose a closed-form formula for the optimal support region determination of the [mu]-law companding
quantizer designed for the Laplacian source of unit variance.
An approach based on input signal's statistics for obtaining and optimizing companding
characteristics, is presented.
Externally Linear, Time Invariant Systems and Their Application to Companding
Signal Processing // IEEE Trans.