quantizer


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quantizer

(ˈkwɒntaɪzə) or

quantiser

n
(Electronics) electronics an instrument that quantizes a signal applied to it
References in periodicals archive ?
To obtain the desired performance, the quantizer requires some kind of adaptation at the frame level, e.
Alongside the current lineup of Canon 4K HDR reference display, the Canon DP-V2411 supports Electro-Optical Transfer Functions (EOTF) such as Hybrid Log-Gamma, a broadcasting HDR standard; Perceptual Quantizer (PQ), a HDR standard for film production and transfer; and Canons proprietary log gammasCanon Log, Canon Log 2 and Canon Log 3.
Sampler and quantizer blocks are embedded on the throttle ECU I/Os to virtually emulate different sampling and quantization levels.
The standard AM architecture involves one-bit quantizer along with the fixed first-order predictor [5].
High performance of vector quantizer must be in accordance with the characteristics of image wavelet coefficients to analyse the structural vector.
One of the most important techniques proposed is Quantization Index Modulation (QIM) [12], where watermark embedding is obtained by quantizing the host or input signal with a quantizer level chosen among a full set of quantizers that are each associated with a different message.
T], and the logarithmic quantizer is depicted by the following set of quantization levels:
The images are watermarked and encoded to 10-bit perceptual quantizer (PQ) HDR with 45 Mbit/sec high efficiency video coding (HEVC), then rendered on an HDR capable UHD TV.
It is seen in recent literature that such linear VCQO is a useful functional block which finds wide range of applications in emerging fields; namely, in certain telemetry-related areas it could convert a transducer voltage to a proportional frequency which is then modulated for subsequent processing [22], as quantizer for frequency-to-digital or time-to-digital conversion [23] and also as the spectrum monitor receiver [24] in cognitive radio communication studies.
As will be seen in section 4, a uniform quantizer is generally used in seismic compression [2], [6], [7], [3].
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.