Multiple Representation Coding for error-resilient video streaming Sourabh Khire and Nikil Jayant School of Electrical and Computer Engineering, Georgia Institute of Technology 1. Motivation

First Page		Document Content
Date: 2012-12-06 11:09:45 Noise Peak signal-to-noise ratio Downsampling Interleaving Sampling Telecommunications engineering Electrical engineering Applied mathematics Signal processing Image processing Digital television		Multiple Representation Coding for error-resilient video streaming Sourabh Khire and Nikil Jayant School of Electrical and Computer Engineering, Georgia Institute of Technology 1. Motivation Add to Reading List Source URL: www.ece.gatech.edu Download Document from Source Website File Size: 1,17 MB Share Document on Facebook

	1 A Non-Uniform Sampler for Wideband Spectrally-Sparse Environments Michael Wakin, Stephen Becker, Eric Nakamura, Michael Grant, Emilio Sovero, Daniel Ching, Juhwan Yoo, Justin Romberg, Azita Emami-Neyestanak, Emmanuel DocID: 1aoNd - View Document
	1.1.0 User Manual 2 Overview Resampler is a flexible sample rate and bit depth reducer, commonly referred to as a bit DocID: 19p2X - View Document
	Multiple Representation Coding for error-resilient video streaming Sourabh Khire and Nikil Jayant School of Electrical and Computer Engineering, Georgia Institute of Technology 1. Motivation DocID: 17zel - View Document
	Multirate Filter Design - An Introduction Jerry E. Purcell Ph.D. President Momentum Data Systems The Multirate Filter Design method is used for FIR filters that have very narrow transition bands, or narrow passbands or w DocID: 15JNm - View Document
	MULTICHANNEL FILTER BANKS D. Stephen G. Pollock University of Leicester This lecture describes how the two-channel ﬁlter bank may be generalised to create an M -channel ﬁlter bank in which the frequency bands of the DocID: 14UQ4 - View Document