The bin-merging technique exploits the fact that certain combinations of quantization bins at each node cannot occur because the corresponding spatial regions have an empty intersection.
Given a continuous-time system, the design objective is to stabilize the system or to achieve certain performance using the coarsest quantization density.
This restriction gives the quantization regions a certain structure that can be exploited for analytical tractability, at the cost of a small performance loss.
The BPM algorithm, inspired by error diffusion, effectively distributes large quantization error at a certain pixel to its neighboring pixels having small quantization errors by changing partial bit patterns.
For example, some signal processing applications may require us to design an error feedback filter for a Δ Σ modulator by adding a constraint that limits the magnitude of the weighted quantization noise to a certain value.
We also bring to light a certain m-accretivity property of suitable quantization of the nonlinearity in the Navier Stokes equation and utilize the theory of nonlinear semigroups to resolve the controlled Navier Stokes inclusion with a multi-valued feedback term.
In our subjective database, visible coding artifact is not considered by setting the quantization parameter (QP) to a certain smaller value.
Video halftoning performs this quantization so as to reduce visibility of certain artifacts.
SQ can successfully compete with Coulomb quantization and even prevails over it in certain cases.
