Scalar - ScalarQuantization CAP5015 Fall2004 Quantization Definition Quantization a process of representing a large possibly infinite set of values

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    Scalar Quantization CAP5015 Fall 2004
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    Quantization Definition: Quantization: a process of representing a large – possibly infinite – set of values with a much smaller set. Scalar quantization: a mapping of an input value x into a finite number of output values, y : Q: x y One of the simplest and most general idea in lossy compression.
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    Scalar Quantization Many of the fundamental ideas of quantization and compression are easily introduced in the simple context of scalar quantization. An example: any real number x can be rounded off to the nearest integer, say q(x) = round (x) Maps the real line R (a continuous space) into a discrete space.
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    Quantizer The design of the quantizer has a significant impact  on the amount of compression obtained and loss  incurred in a lossy compression scheme. Quantizer: encoder mapping and decode mapping. Encoder mapping – The encoder divides the range of source into a number of intervals – Each interval is represented by a distinct codeword Decoder mapping – For each received codeword, the decoder generates a reconstruct value
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    Components of a Quantizer
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This note was uploaded on 06/09/2011 for the course CAP 5015 taught by Professor Mukherjee during the Spring '11 term at University of Central Florida.

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Scalar - ScalarQuantization CAP5015 Fall2004 Quantization Definition Quantization a process of representing a large possibly infinite set of values

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