# What are the basics of coding

## Basics of technical informatics. Coding and error correction. Chapter 4.2

### Basics of Digital Systems (GDS)

Basics of Digital Systems (GDS) Prof. Dr. Sven-Hendrik Voß summer semester 2015 Technical informatics (Bachelor), semester 1 date 10, Thursday, June 18, 2015 page 2 binary codes fundamentals of digital

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### Introduction to coding theory

Introduction to coding theory Introduction Procedure Examples Definitions (code, code word, alphabet, length) Hamming distance definitions (equivalence, code rate,) Singleton bound Linear codes Hamming weight

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### Applied information technology

Applied information technology in the Applied Media Studies (AMW) bachelor's degree program, error detection and correction Dr.-Ing. Alexander Ihlow Faculty of Electrical Engineering and Information Technology FG

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### Information display in the computer

Information display in the computer Dr. Christian Herta October 15, 2005 Introduction to Computer Science - Representation of Information in the Computer Dr. Christian Herta Representation of information in the computer

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### Module 114. Number systems

Module 114 Module name: Module 114 Field of competence: Use coding, compression and encryption methods 1. Select and use the coding of data based on the situation. Show which

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### 1st week Introduction to coding theory, definition of codes, prefix codes, compact codes

1 week introduction to coding theory, definition codes, prefix code, compact codes 1 week: introduction to coding theory, definition codes, prefix code, compact codes 5/44 Our Shannon model

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### Chapter 4 Line Coding

Chapter 4 Line Coding Prof. Dr. Dirk W. Hoffmann Hochschule Karlsruhe w University of Applied Sciences w Faculty of Computer Science Overview Source Senke Compression Huffman-, Arithmetische-, Lempel-Ziv

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### Single parity check codes (1)

Single parity check codes (1) The single parity check code (SPC) adds a check bit (parity) p to the information block u = (u 1, u 2, ..., uk): The graphic shows three examples of these Codes

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### Basic concepts of computer science

Basic concepts of computer science Unit 15: Regular expressions and linear grammars Thomas Worsch University of Karlsruhe, Faculty of Computer Science Winter semester 2008/2009 1/25 What can be done with finite

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### Number systems: octal and hexadecimal systems

20 Bridging course The most common bit sequence comprises 8 bits, so it covers 2 8 = 256 possibilities, and is called a byte. Two bytes, i.e. 16 bits, form a word, and 4 bytes, i.e. 32 bits, form

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### Coding. H.-G. Hops

Coding H.-G. Hopf content information transfer coding of characters GDI: Coding / 2 content information transfer coding of characters GDI: coding / 3 ideal communication transmission channel

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### Basics of Computer Science (BSc) Exercise No. 5

Exercise No. 5: Number systems and their application Please tick all number systems in the following list to which each expression as a number can belong! (Use 'x for choice,' 'for exclusion

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### Basics of computer science

Mag. Christian Gürtler Programming Basics of Computer Science 2011 Contents I. General 3 1. Number systems 4 1.1. Whole numbers ...................................... 4 1.1.1. Conversions .................................

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### t r Linear coding of binary trees (words above the alphabet {,}) Example code () = code (, t l, t r) = code (t l) code (t r)

Definition B: Set of binary trees, recursively defined by the rules: if t l, t r are binary trees, then t =, t l, t r is a binary tree only what is defined by the two previous ones

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### If you roll exactly 10 times a 1, 2, 3, 4, 5 and 6, the number is equal to. of the various orders in which this can be done 60 !.

040304 Exercise 9a Analysis, Section 4, Slide 8 The probability that an event A (with probability p p (A)) for an arbitrary number if a random experiment is carried out n times

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### Decipher characters in numbers

Deciphering characters in numbers In this chapter ... Using the number line Absolutely correct determination of absolute values ​​Operations on signed numbers: Adding, subtracting, multiplying

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### Binary representation of floating point numbers

Binary representation of floating point numbers 1. IEEE 754 floating point number in single format Floating point numbers in the IEEE 754 standard are structured as follows: 31 30 24 23 0 S E E E E E E E E E M M M M M M M M M M M M M M

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### Theoretical Computer Science SS 04 Exercise 1

Theoretical Computer Science SS 04 Exercise 1 Exercise 1 There are different ways to code a natural number n. In unary coding you only have one alphabet with one character - let's say that

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### Algorithmic cryptography

Algorithmic Cryptography Walter Unger Chair for Computer Science I February 16, 2007 Quantum Cryptography 1 Introduction Basics from Physics 2 Data transmission 1. Idea 2. Idea Physics again 3 Secure

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### 1 Mathematical basics

Mathematical Basics - 1-1 Mathematical Basics The concept of quantity is one of the most fundamental concepts in mathematics. Quantities are used to combine things or objects into a unit.

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### Binary Coded Decimal Numbers (BCD Code)

http://www.reiner-tolksdorf.de/tab/bcd_code.html Here it goes to the start page of the homepage Binary Coded Decimal Numbers (BCD-) to 8-4-2-1- to Aiken- to Exeß-3- to Gray - for 2-4-2-1- 57 for 2-4-2-1-

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### 2 Representation of numbers and characters

2.1 Analog and digital representation of values ​​79 2 Representation of numbers and characters Computer or processor systems carry out transformations that map inputs X to outputs Y, i.e. Y = f

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### Professional seminars in the field of MS Office

The name AREA.MOVE () is a little unfortunate. You can move areas with the function, but you can also reduce or enlarge areas. It would be better to function

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### 15 Optimal coding

15 Optimal coding An optimal coder C (T) is to be designed, which uniquely transmits information (e.g. text T) with the lowest possible number of bits. The requirements for the optimal

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### Introduction to programming

Technical University Carolo Wilhelmina zu Brauschweig Institute for Computational Modeling in Civil Engineering Prof. Dr.-Ing. habil. Manfred Krafczyk Pockelsstrasse 3, 38106 Braunschweig http://www.irmb.tu-bs.de

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### The most important raid systems

The most important raid systems Michael Dienert May 4th, 2009 Preliminary remark This article gives a brief overview of the most important RAID systems. Contents 1 The Abbreviation RAID 2 1.1 Error Rates

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### 3 The Hamming Code. Hamming codes

3 The Hamming Code Hamming Codes A binary code C is called a Hamming code Ha s if its control matrix H has all the elements in Z 2 s once as columns. The parameters of an n-k hamming code are:

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### Prime numbers and RSA encryption

Prime Numbers and RSA Encryption Michael Fütterer and Jonathan Zachhuber 1 Some things about prime numbers A few definitions: We use Z to denote the set of positive and negative integers, that is

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### A1.7: Entropy of natural texts

A1.7: Entropy of natural texts In the early 1950s, Claude E. Shannon estimated the entropy H of the English language with one bit per character. Shortly afterwards, Karl Küpfmüller came to an empirical one

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### QR code. Christina Nemecek, Jessica Machrowiak

QR Code Christina Nemecek, Jessica Machrowiak 1 Summary. Introduction Definition Development Basics Structure of fault tolerance and detection Generating the QR code Reading the QR code Sources 2 Introduction.

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### Number systems page -1- Number systems

Number Systems Page - Number Systems Table of Contents Decimal System ... Binary System ... Convert Bin Dec ... 2 Conversion Dec Bin ... 2 Calculating in the Binary System Addition ... 3 The Negative Whole Numbers in the Binary System ... 4

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### Capital increase - booking

Capital increase - booking Description A capital increase is an increase in the share capital of a stock corporation by issuing shares. There are different forms of capital increase.

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### A simple model for error propagation

A simple model for error propagation Jens Chr. Lisner [email protected] ICB / University of Duisburg-Essen AK error tolerance 11/2006 p. Problem usual when formalizing systems:

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### Exercise RA, chapter 1.2

Exercise RA, Chapter 1.2 Part 1: Numbers and Logic A) Exercise on the whole numbers 1. Convert the following numbers into binary form: 1984 Always divide by 2, the rest is the bit. Each with

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### A (7,4) code example

A (7.4) code example generator polynomial: P (X) = X 3 + X 2 + 1 Note: It is 7 = 2 ^ 3-1, so after prior consideration all 1-bit errors can be corrected Note also d min of the code words is 3, so

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### Basic concepts of computer science

Basic concepts of computer science Unit 3: Alphabets (and relations, functions, propositional logic) Thomas Worsch University of Karlsruhe, Faculty of Computer Science October 2008 1/18 Overview of alphabets ASCII Unicode

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### Number systems The 10 system

Number systems exercise sheet for the missing hour on October 22nd, 2010. The 10 system ... 1 Conversion to the 10 system ... 2 2 system ... 2 8 system ... 2 16 system ... 3 Conversion to other number systems ...

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### Easy Mail Guide in Easy Read

Easy Mail Guide in Easy to Read Easy Mail is an English word that means: Simple Mail. Easy Mail is pronounced like this: isi mäl page 1 Table of contents Part 1: How do I read an email? ...