Definition of quantize in English English dictionary
To shift each beat in a rhythmic pattern to the nearest beat of a given resolution (eighth note, sixteenth note, etc.), or to adjust the frequency or pitch of a note to the nearest perfect tone in a given musical scale
To approximate a continuously varying signal by one whose amplitude can only have a set of discrete values
To limit the number of possible values of a quantity, or states of a system, by applying the rules of quantum mechanics
To limit the possible values of (e g , quantity) to a discrete set of values by quantum mechanical rules (Webster's II, 1994)
Sequencers ability to make notes recorded conform to the nearest subdivision of a bar These subdivisions may be predetermined by the user (e g 1/64, 1/16 etc) A useful tool in the correction of timing errors, however overuse may result in the performance having a somewhat "robotic" feel
A function on some sequencers which modifies the information in its memory to improve the rhythmic accuracy and correct playing errors
The process of restricting a variable to a number of discrete values For example, to limit varying antenna gains to three levels
An editing function of the sequencer Out-of-time notes that don't fall into the desired rhythmic pattern are automatically shifted so that they are in time
{f} restrict a variable to a specific set of values, form into quanta (Physics); subdivide into small but measurable units; express in terms of quantum mechanics (also quantise)
To convert an asset or liability into a currency other than the regular trading currency
apply quantum theory to; restrict the number of possible values of (a quantity) or states of (a physical entity or system) so that certain variables can assume only certain discrete magnitudes that are integral multiples of a common factor; "Quantize gravity"
telecommunications: approximate (a signal varying continuously in amplitude) by one whose amplitude is restricted to a prescribed set of discrete values
A process where the continuous range of values of an input signal is divided into non-overlapping sub-ranges and, to each sub-range, a discrete value of the output is uniquely assigned
Quantization is simply the process of decreasing the number of bits needed to store a set of values (transformed coefficients, in the context of data compression) by reducing the precision of those values Since quantization is a many-to-one mapping, it's a lossy process and is the main source of compression in a lossy image coding scheme Quantization can be performed on each individual coefficient, which is known as Scalar Quantization (SQ) Quantization can also be performed on a group of coefficients together, and this is known as Vector Quantization (VQ) Both, uniform and non-uniform quantizers can be used depending on the problem at hand
Color quantization is usually defined as a lossy image compression operation that maps an original full color image to an image with a small color palette The goal of any quantization algorithm is minimization of a perceived difference between the original and quantized images
To reduce the number of colors or shades of gray in an image, with the goal being to reduce file size while maintaining image quality Also used to display images with more colors than are available on the display device
1) The subsetting of data or a resource to enable or speed up processing An example of the former is where a device has no more than an 8 bit color capability thus requiring a 24 bit image to be requantized to 8 bit color for processing Subsetting large data sets can also speed up processing An example of resource quantization is where the processing of a screenful of data in an image-based algorithm can be made much more efficient by subdividing the screen, perhaps on a binary basis, and applying the algorithm to smaller sections of the data 2) Converting a continuous quantity into series of discrete values For example, continuous images can be quantized into discrete pixels, color spaces can be quantized into a set of discrete colors, or continuous time can be quantized into discrete steps
Quantization is a process whereby the continuous range of values of an input signal is divided into nonoverlapping subranges Each of these subranges has a discrete value of the output uniquely assigned Once a signal value falls within a given subrange, the output provides the corresponding discrete value
The PCM process where PAM pulses are approximated to the nearest binary value available In the ProMix 01 20-bit system, pulses can be approximated to any one of l,048,576 binary values That's four times more than a 16-bit CD System These approximations can result in quantization errors (i e noise) However, this is reduced by oversampling, as featured on ProMix 01, 02R, etc
artifical forcing of like gray levels to the same gray levels as a result of limited tonal resolution in a scanner used in shadow portion of scanned image
rounding or truncating a value to the nearest reference value In a sequencer, used to adjust recorded material so it will be performed precisely on a selected division of the beat In digital audio, the range of numbers used for specifying amplitude levels of a recorded signal (16 bit quantization = 65,536 values; 8-bit = 256, etc )
A process in which the continuous range of values of an analog signal is sampled and divided into nonoverlapping (but not necessarily equal) subranges, and a discrete, unique value is assigned to each subrange Note: An application of quantization is its use in pulse-code modulation If the sampled signal value falls within a given subrange, the sample is assigned the corresponding discrete value for purposes of modulation and transmission (188)
The process of limiting a value to one of a discrete number of values; for example, representing an audio sample as a 16-bit integer Sampling also involves quantizing time, by sampling at discrete intervals
A function found on sequencers and drum machines that causes notes played at odd times to be "rounded off" to regular rhythmic values See percentage quantization
The process that divides the continuous range of values of a signal into nonoverlapping (but not necessarily equal) subranges It then assigns a discrete value of the output to each subrange Whenever the signal value falls within a given subrange, the output has the corresponding discrete value