kuvantumlama

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quantization
The process of approximating a continuous signal by a set of discrete symbols or integer values
A procedure for constructing a quantum field theory starting from a classical field theory
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 converting the voltage level of a signal into digital data before or after the signal has been sampled
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
To quantize is to force all notes played to fall on the nearest beat specified It shifts events (like note-on) to an exact rhythmic position
The process of converting from continuous values of information to a finite number of discrete values
The rounding error when an ADC converts an analog signal into a digital value
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
described the process of representing a variable by a set of distinct values
The process of converting an infinitely precise analog signal to a binary number This process is performed by an A/D converter
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
The conversion of discrete image samples to digital quantities
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
the concept that energy can occur only in discrete units called quanta
The process that ADC use to convert Analog to Digital
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