Hamming distance

Hamming Code For Error Detection And Correction | Hamming Code Error Correction | Simplilearn

In this video on "Hamming Code for Error Detection," we will look into the introductory knowledge related to the network technique of hamming code. This network will allow us to detect and correct errors on the receiver side. Explained in the stepwise format for proper clarification. Topi

From playlist Networking

Hamming Code - Errors

How to detect and correct an error using the Hamming Code. Hamming codes are a type of linear code, see link for intro to linear code: https://www.youtube.com/watch?v=oYONDEX2sh8 Questions? Feel free to post them in the comments and I'll do my best to answer!

From playlist Cryptography and Coding Theory

Math for Liberal Studies - Lecture 3.5.2 Hamming Distance

This is the second video for Math for Liberal Studies Section 3.5: Error-Correcting Codes. In this video, we discuss the Hamming distance between two binary messages. We also discuss the "minimum distance decoding method" for detecting and correcting errors.

From playlist Math for Liberal Studies Lectures

Lower Bounds, Upper Bounds and Error Intervals

"Calculate the upper and lower bound of rounded values or identify an error interval."

From playlist Number: Rounding & Estimation

Perpendicular Distance (1 of 2: Introduction to the Formula)

From playlist Working with Functions (related content)

Example: Determine the Distance Between Two Points

This video shows an example of determining the length of a segment on the coordinate plane by using the distance formula. Complete Video List: http://www.mathispower4u.yolasite.com or http://www.mathispower4u.wordpress.com

From playlist Using the Distance Formula / Midpoint Formula

Finding Minimum Distance

In this video I briefly explain what minimum distance is and why it is helpful. Then I explain how to find it "the long way" and the "shortcut." Also during the process, I explain what Hamming Weight and Distance are and how to find them. Codewords from Generating Matrix Video: https://w

From playlist Cryptography and Coding Theory

College Algebra Brainstorming: The Distance and Midpoint Formulas

In this video, we learn about the distance and midpoint formulas. College Algebra Homepage: http://webspace.ship.edu/jehamb/calg.html

From playlist College Algebra

Nexus Trimester - Benjamin Sach (University of Bristol)

Tight Cell-probe bounds for Online Hamming distance Benjamin Sach (University of Bristol February 26, 2016 Abstract: We give a tight cell-probe bound for the time to compute Hamming distance in a stream. The cell probe model is a particularly strong computational model and subsumes, for

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

Physics - Optics: Diffraction Grating (2 of 7) Distances=? Between Slits

Visit http://ilectureonline.com for more math and science lectures! In this video I will find the distances between the slits of a diffraction grating. Next video in series: http://youtu.be/uSchtEB2kfg

From playlist PHYSICS 61 DIFFRACTION OF LIGHT

DEFCON 16: Deciphering Captcha

Speaker: Michael Brooks, Security Engineer, Fruition Security This presentation will detail two methods of breaking captcha. One uses RainbowCrack to break a visual captcha. The other uses fuzzy logic to break an audio captcha. Both methods are 100% effective. These are real attacks that

From playlist DEFCON 16

1.2.12 Worked Examples: Error Correction

MIT 6.004 Computation Structures, Spring 2017 Instructor: Silvina Hanono View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 1.2.12 Worked Examples: Error Correction License: Creative Commons BY

From playlist MIT 6.004 Computation Structures, Spring 2017

1.2.10 Error Detection and Correction

MIT 6.004 Computation Structures, Spring 2017 Instructor: Chris Terman View the complete course: https://ocw.mit.edu/6-004S17 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62WVs95MNq3dQBqY2vGOtQ2 1.2.10 Error Detection and Correction License: Creative Commons BY-NC-S

From playlist MIT 6.004 Computation Structures, Spring 2017

Nexus Trimester - Raphael Clifford (University of Bristol) - 2

Lower bounds for streaming problems 3/3 Raphael Clifford (University of Bristol) February 24, 2016 Abstract: It has become possible in recent years to provide unconditional lower bounds on the time needed to perform a number of basic computational operations. I will discuss some of the m

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

Near log-convexity of measured heat in (discrete) time and consequences - Mert Sağlam

Computer Science/Discrete Mathematics Seminar I Topic: Near log-convexity of measured heat in (discrete) time and consequences Speaker: Mert Sağlam Affiliation: University of Washington Date: March 11, 2019 For more video please visit http://video.ias.edu

From playlist Mathematics

Lec 5 | MIT 6.451 Principles of Digital Communication II

Introduction to Binary Block Codes View the complete course: http://ocw.mit.edu/6-451S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 6.451 Principles of Digital Communication II

3. Errors, channel codes

MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: George Verghese This lecture places in context the abstraction layers in the network communication model and covers digital signaling. Metrics such a

From playlist MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012

7. Viterbi decoding

MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012 View the complete course: http://ocw.mit.edu/6-02F12 Instructor: George Verghese This lecture starts with a review of encoding and decoding. The Viterbi algorithm, which includes a branch netric and a path metric,

From playlist MIT 6.02 Introduction to EECS II: Digital Communication Systems, Fall 2012

Accuracy of Measurements

From playlist a. Numbers and Measurement