quantizer


Also found in: Dictionary, Thesaurus, Financial, Wikipedia.

quantizer

[kwän′tīz·ər]
(electronics)
A device that measures the magnitude of a time-varying quantity in multiples of some fixed unit, at a specified instant or specified repetition rate, and delivers a proportional response that is usually in pulse code or digital form.
References in periodicals archive ?
The remaining of the paper is organized as follows: in Section 2 we describe the design of the proposed quantizer along with its application in the forward adaptive scheme.
In literature [10], the structure of its system based on event-triggered scheme contains one quantizer, and the event-triggered release instants and interval are 74 and 84 while the sampling time is 10s.
Khalil, VCO Based Quantizers Using Frequency-to-Digital and Time-to-Digital Converters, Springer Science+Business Media, LLC, 2011.
Depending on how the [y.sub.i]'s are distributed, the scalar quantizer can be uniform (Figure 9a) or non-uniform (Figure 9b).
The Neural Gas vector quantizer [3] is an approach which utilizes the dynamic neighborhood between the prototypes [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], to obtain a clustering of data samples [v.sub.i] [member of] [R.sup.d], i = 1,...,[N.sub.v], from a data set V.
In an ideal quantizer, suppose that there is no nonlinearity and noise exists except for the nonlinearity due to quantization.
A vector quantizer is a system of mapping input vectors into corresponding reproduction vectors drawn from a finite reproduction alphabet.
It consists of three major processing cores: a feature detector, a binary quantizer, and a tree processor.
He has received an NSF grant titled “Data-Driven Adaptive Quantization for Distributed Inference,” addresses a fundamental challenge of quantization for distributed inference in a sensor network environment, where the optimum quantizer generally cannot be implemented due to its dependence on unknown parameters associated with the random events being monitored by the sensor network.
Alternatively, our proposed boosting-based code-bo0k learning in compact landmark descriptors can shrink the code-word scale of tree-structured vector quantizer (TSVQ) (that is, the SVT model) in Chen et al.
The 1-bit quantizer in BHU-2D consists of an 8-bit ADC and a digital comparator.
The feedforward path together with multibit quantizer leads to very small swings at integrators' outputs.