Physical Model In Data Compression

1.  If we know something about the physics of the data
generation
 We can use that info to construct model
 However it is too complicated to know physics of the
data so we can obtain a model based on empirical
observations.
 Examples:
Speech recognition System
Residential Electrical Meter
 In speech related applications – knowledge about
speech production can be used to construct model.
 In Residential Meter-knowledge about the living
habits.

2.  Speech Production
• Air is pushed from your lungs through
vocal cord & out from mouth your
mouth to speech.
• For certain voice sound vocal cord
vibrate.
• As a person speak shape of vocal track
changes
• Amount of air coming from lungs
determines the loudness

3.  Residential Electrical Meter
• Knowledge about living habits-used to
determine max and min usage.
• D/B Actual reading & Reading by Model