Part of the digital audio sampling process, the step where the analog to digital converter assigns binary values to the sampled waveform which correspond to the amplitude voltage of the waveform.
The process of transforming a continuous signal into one of finite steps or levels, as in an A/D converter.
The technique of scaling down a set of values. In Discrete Cosine Transform ( DCT)-based encoders, like those that conform to the JPEG, MPEG-1, and H.261 standards, quantization is used to ensure that DCT coefficients are represented by the smallest range of numbers needed to produce the desired level of image quality. To bring the coefficients into this range, the quantizer divides each coefficient by the appropriate value from a quantization table and rounds the result to the nearest integer.
The mathematical operation of truncating a decimal value of arbitrary precision to a fixed binary resolution.
The resolution of the data when an analog input signal is converted into a digital signal.
The representation of a continuous quantity, such as a sound wave, by a series of numeric values.
In a digital device, the encoding process when the analog input is approximated (quantized) to the nearest binary value available. These approximations are not an exact duplication of the analog waveform and are therefore contain quantization errors (noise). However, this noise is reduced by over-sampling.
Representation of a value by a data type that has too few bits to represent it exactly. See also bit, data type, quantization error
The conversion of discrete image samples to digital quantities.
A MIDI sequencer editing operation used to correct timing mistakes. When quantizing, all MIDI note data is moved to the nearest specified note value for example, to the nearest sixteenth note. (See "Sequencer")
the sub-division of the range of a reading into a finite number of steps, not necessary equal, each of which is assigned a value. The concept is particularly applicable to analog to digital and digital to analog conversion processes
A process in which a continuous signal is converted to a series of points at discrete levels. The quantized version of a ramp, a continuum of levels, would be a staircase, where only certain distinct levels are allowed.
Related to the process of converting an analog signal to a digital signal. The accuracy resolution is dependent on the total number of bits in the final digital word.
The subdivision of the range of values of a variable into a finite number of nonoverlapping, but not necessarily equal intervals. Each interval is represented by an assigned value.
The process of dividing a continuous range of signal values into larger, less granular, contiguous parts, a unique value being assigned to each part. The process assigns the same digital value to two or more of the original adjacent digital values. Quantizing is used as part of a lossy coding algorithm. Quantizers may be linear, non-linear or dynamic, depending upon the circumstances and application.
In a digital-audio signal, the number of possible values available to represent various levels of amplitude.
Division of the range of values of a wave into a finite number of subranges, each of which is represented by an assigned or quantized value within the subrange.
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 assigning of values to discrete samples of a continuous signal in the analog to digital conversion process.
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 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.
The process of sampling an analog waveform to convert its voltage levels into digital data.
Quantization is the process of snapping an event to the nearest time, like rounding to the nearest hour or minute. MIDI events, like key hits, can be "snapped-to" the nearest musical note (quarter, 8th, 16th, etc.). Quantizing is only done in SEQuencer Mode. Click here for more about quantization.
The way the continuously variable transducer signal is converted into discreet digital values. Usually used when describing the change from one digital value to the next.
The process of representing a voltage with a discrete binary digital number. Approximating an infinite valued signal with a finite number system introduces an error called quantization error.
1) Quantization noise/quantization error. The noise which occurs in digital sound reproduction when numerical expressions of sound are rounded off to their nearest numerical equivalent. Every measurement may be expressed in infinite terms, but when measurement is rounded off for the purposes of finite computation, small errors occur and, in sound reproduction, cause background noise. In musical applications, the more power the computer has the greater degree of measurement accuracy is possible, thus the lower the level of background noise. A problem that has been largely overcome. 2) Rounding a note to the nearest time segment
The process of converting, or digitizing, the almost infinitely variable amplitude of an analog waveform to one of a finite series of discrete levels. Performed by the A/D converter.
The process of converting the voltage level of a signal into digital data before or after the signal has been sampled.
The process of converting from continuous values of information to a finite number of discrete values.
In digital signal processing, quantization is the process of approximating a continuous range of values (or a very large set of possible discrete values) by a relatively-small set of discrete symbols or integer values. More specifically, a signal can be multi-dimensional and quantization need not be applied to all dimensions. Discrete signals (a common mathematical model) need not be quantized, which can be a point of confusion.
Quantization, involved in . Quantization is a compression technique achieved by compressing a range of values to a single quantum value. By reducing the number of discrete symbols in a given stream, the stream becomes more compressible.
In signal processing, quantization is the process of approximating a continuous range of values (or a very large set of possible discrete values) by a relatively-small set of discrete symbols or integer values. This article describes aspects of quantization related to sound signals.