Talk:Time stretch dispersive Fourier transform

Use of AST for data compression

http://www.sciencedaily.com/releases/2013/12/131219131237.htm

... [A] UCLA group, led by Bahram Jalali, holder of the Northrop Grumman Opto-Electronic Chair in Electrical Engineering, and including postdoctoral researcher Mohammad Asghari, created an entirely new method of data compression. The technique reshapes the signal carrying the data in a fashion that resembles the graphic art technique known as anamorphism, which has been used since the 1500s to create optical illusions in art and, later, film. The Jalali group discovered that it is possible to achieve data compression by stretching and warping the data in a specific fashion prescribed by a newly developed mathematical function. The technology, dubbed "anamorphic stretch transform," or AST, operates both in analog and digital domains. In analog applications, AST makes it possible to not only capture and digitize signals that are faster than the speed of the sensor and the digitizer, but also to minimize the volume of data generated in the process. AST can also compress digital records -- for example, medical data so it can be transmitted over the Internet for a tele-consultation. The transformation causes the signal to be reshaped is such a way that "sharp" features -- its most defining characteristics -- are stretched more than data's "coarse" features.

-- Jo3sampl (talk) 16:32, 26 December 2013 (UTC)[reply]

This isn't a place to sell Bahram Jalali

The irrelevant reference to Bahram Jalali's other works such as AST are distracting and pompous. They need to go. I propose we clean this article up and add some math.--Frozenport (talk) 02:12, 3 October 2014 (UTC)[reply]