1. Home
  2. An introduction to source-coding
  3. Quantization
  4. Quantization

Quantization

<< Chapter < Page
  An introduction to source-coding   Page 1 / 1
Chapter >> Page >
This module introduces the topic of quantization and prefaces the discussion of later modules in the course on source coding.
  • Given a continuous-time and continuous-amplitude signal x ( t ) , processing and storage by modern digital hardware requiresdiscretization in both time and amplitude, as accomplished by an analog-to-digital converter (ADC).
  • We will typically work with discrete-time quantities x ( n ) (indexed by “time” variable n ) which we assume were sampled ideally and without aliasing.
  • Here we discuss various ways of discretizing the amplitude of x ( n ) so that it may be represented by a finite set of numbers. This is generally a lossy operation, and so we analyze theperformance of various quantization schemes and design quantizers that are optimal under certain assumptions.A good reference for much of this material is the textbook by Jayant and Noll.
<< Chapter < Page Page > Chapter >>

Read also:

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, An introduction to source-coding: quantization, dpcm, transform coding, and sub-band coding. OpenStax CNX. Sep 25, 2009 Download for free at http://cnx.org/content/col11121/1.2
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'An introduction to source-coding: quantization, dpcm, transform coding, and sub-band coding' conversation and receive update notifications?

Ask