Examples of using Quantization in English and their translations into Indonesian
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Ecclesiastic
Time quantization is a hypothetical concept.
The tutorial also covers some of the important concepts of signals andsystems such asSampling, Quantization, Convolution, Frequency domain analysis e.
Color quantization produces a path based on differences in color.
This is because the minimum possible noise level is the error caused by the quantization of the signal, sometimes called quantization noise.
To reduce quantization errors a big number of data needs to be kept in Digital Circuit.
Reconstruction of an audio signalusing a linear predictor shapes the coder's quantization noise into the spectrum of the target signal, partially masking it.
To reduce quantization errors, large amounts of data must be stored in the digital circuit.
DAT has the ability to record at higher, equal or lower sampling rates than a CD(48, 44.1 or 32 kHz sampling rate respectively)at 16 bits quantization.
To reduce quantization errors a large amount of data needs to be stored in Digital Circuit.
More recently, Norbert Bodendorfer, a former student of Thiemann's who is now at the University of Warsaw,has applied methods of LQG's loop quantization to anti-de Sitter space.
Instead, Arp supported the redshift quantization theory as an explanation of the redshifts of galaxies.
Quantization noise is modeled as an analog error signal summed with the signal before quantization("additive noise").
Instead, Arp supports the redshift quantization theory for describing the redshifts of galaxies[3].
While quantization was first discovered in electromagnetic radiation, it describes a fundamental aspect of energy not just restricted to photons.
At roughly half the size of an analogue cassette tape, DAT has the ability to record at higher, equal or lower sampling rates than a CD(48, 44.1 or 32 kHz sampling rate respectively)at 16 bit quantization.
The principle of spin quantization is fundamental at the subatomic level but also exists in the macroscopic world.
The basic physical phenomena under consideration are the quantum mechanical tunneling of electrons through a small insulating gap between two metal leads, the Coulomb blockade and Coulomb oscillations-the last two resulting from the quantization of charge.
This‘Quantization Interval Learning(QIL)' retains data accuracy by re-organizing the data to be presented in bits smaller than their existing size.
Each such reading is called a sample and may be considered to have infinite precision at this stage; Quantization Samples are rounded to a fixed set of numbers(such as integers), a process known as quantization.
Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set(often a continuous set) to output values in a(countable) smaller set.
Information Theory(UK: information theory)is the discipline in the field of applied mathematics that deals with the quantization data so that data or information that can be stored and shipped without errors(error) through a communication channel.
Quantization is involved to some degree in nearly all digital signal processing, as the process of representing a signal in digital form ordinarily involves rounding.
Granularity- for a constantly variable analog value to be represented in digital kind,there takes place a quantization mistake, which is distinction in real analog value and digital representation; this home of digital interaction is referred to as granularity.
Quantization of the energy and its influence on how energy and matter interact(quantum electrodynamics) is part of the fundamental framework for understanding and describing nature.
Granularity: to get a continuously variable analog value to berepresented in electronic form there happen quantization error that's the difference in real analog value and electronic representation and this land of electronic communication are referred to as granularity.
Following Max Planck's quantization of light(see black-body radiation), Albert Einstein interpreted Planck's quanta to be photons, particles of light, and proposed that the energy of a photon is proportional to its frequency, one of the first signs of wave-particle duality.
At the time, however, Planck's view was that quantization was purely a heuristic mathematical construct, rather than(as is now believed) a fundamental change in our understanding of the world.
Techniques like discrete cosine transform, vector quantization and wavelet compression are used to reduce the data size of the source signal file by chiseling out temporal and spatial redundancy while retaining the essentials.