The phrase "a quantization" is correct and usable in written English.
It can be used in contexts related to physics, mathematics, or signal processing, where it refers to the process of constraining an input from a large set to output in a smaller set.
Example: "In digital signal processing, a quantization of the analog signal is necessary to convert it into a digital format."
Alternatives: "a discretization" or "a sampling".
By treating the RCS control allocator as a quantization element, closed-loop stability with both continuous and quantized inputs is analyzed.
In the case of quantized limited feedback, for each user there is a quantization codebook consisting of vectors of unit norm, where is the number of feedback bits.
For this reason, in real systems, the local statistics are quantized and then transmitted to the central processor; thus, a quantization noise is present.
An event-triggered mechanism and a quantization scheme are designed to reduce the occupancy of the limited network resources.
This improvement is achieved introducing the straight forward untidy priority queue, obtained via a quantization of the priorities in the marching computation.
The learning framework consists of a quantization layer which uses generalized learning vector quantization (GLVQ) and an ensemble layer which uses multi-layer perceptrons (MLP).
We here consider a quantization approach to Gauss mixture design based on the information theoretic view of Gaussian sources as a "worst case" for robust signal compression.
In the experiment, a quantization resolution of 6.2 bits is obtained, which is 1.2-bit higher than that of its uni-directional counterpart.
The aim of this paper is to find a quantization technique that has low implementation complexity and asymptotic performance arbitrarily close to the optimum.
In the first level, a quantization of the data samples using topology-preserving metrics to automatically determine the number of units in the SOM is proposed.
Proposed architecture can attain eminently high charge handling capacity of 2.2Ge- with a quantization noise of 1072e- and extremely low power dissipation of 14.28 mW.
