<--- Back to Details
First PageDocument Content
Cryptography / Data compression / Error detection and correction / Canonical Huffman code / Mathematics / Discrete mathematics / Huffman coding / Coding theory / Information theory / Code
Date: 2013-01-23 16:59:52
Cryptography
Data compression
Error detection and correction
Canonical Huffman code
Mathematics
Discrete mathematics
Huffman coding
Coding theory
Information theory
Code

PROcEEDINGS OF THE J.R.E[removed]September

Add to Reading List

Source URL: www.ece.cmu.edu

Download Document from Source Website

File Size: 1.010,72 KB

Share Document on Facebook

Similar Documents

Mathematical logic / Proof theory / Logic / Mathematics / Natural deduction / Sequent calculus / Sequent / First-order logic / Admissible rule / Conjunctive normal form / Quantifier / Cut-elimination theorem

Understanding Resolution Proofs through Herbrand’s Theorem‹ Stefan Hetzl1 , Tomer Libal2 , Martin Riener3 , and Mikheil Rukhaia4 1 Institute of Discrete Mathematics and Geometry, Vienna University of Technology

DocID: 1xTCQ - View Document

Wombat / Mongoose

Using Alloy in a Language Lab Approach to Introductory Discrete Mathematics Charles Wallace Michigan Technological University In collaboration with Laura Brown, Adam Feltz

DocID: 1xTvc - View Document

Applicable Analysis and Discrete Mathematics available online at http://pefmath.etf.bg.ac.yu Appl. Anal. Discrete Math), 322–337. doi:AADM100425018H

DocID: 1vmuF - View Document

Discrete Mathematics and Theoretical Computer Science DMTCS vol. (subm.), by the authors, 1–1 A lower bound for approximating the grundy number

DocID: 1vkug - View Document

Hausdorff Center for Mathematics, Summer School (May 9–13, 2016) Problems for “Discrete Convex Analysis” (by Kazuo Murota) Problem 1. Prove that a function f : Z2 → R defined by f (x1 , x2 ) = φ(x1 − x2 ) is

DocID: 1vjVY - View Document