In digital transmission, the number of bit errors is the number of received bits of a data stream over a communication channel that have been altered due to noise, interference, distortion or bit synchronization errors. The bit error rate (BER) is the number of bit errors per unit time. The bit error ratio (also BER) is the number of bit errors divided by the total number of transferred bits during a studied time interval. Bit error ratio is a unitless performance measure, often expressed as a percentage. The bit error probability pe is the expected value of the bit error ratio. The bit error ratio can be considered as an approximate estimate of the bit error probability. This estimate is accurate for a long time interval and a high number of bit errors. (Wikipedia).
What Are Error Intervals? GCSE Maths Revision
What are error Intervals and how do we find them - that's the mission in this episode of GCSE Maths minis! Error Intervals appear on both foundation and higher tier GCSE maths and IGCSE maths exam papers, so this is excellent revision for everyone! DOWNLOAD THE QUESTIONS HERE: https://d
From playlist Error Intervals & Bounds GCSE Maths Revision
Why we can't take "dt" to 0 in a computer: Sources of error in numerical differentiation
We have seen that the error of numerical differentiation typically scales with the time step dt. So why can't we just reduce the time step arbitrarily small to control the error? This video describes how numbers are stored in a computer and how small roundoff errors are amplified by very
From playlist Engineering Math: Differential Equations and Dynamical Systems
Statistics: Ch 7 Sample Variability (11 of 14) What is "The Standard Error of the Mean"?
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 What is “the standard error of the mean”? It is the standard deviation (of the sampling distribution) of the sample means. Previous
From playlist STATISTICS CH 7 SAMPLE VARIABILILTY
From playlist a. Numbers and Measurement
This video introduces big strings and provides the formulas need to determine the total number of n-bit strings and how to determine the number of n-bit strings with a given weight.
From playlist Counting (Discrete Math)
Chapter 2 - Error and Percentage Error - IB Math Studies (Math SL)
Hello and welcome to What The Math. This is a Chapter 2 video about error and percentage error calculation. This is a part of Chapter 2. This is from Harris Publication version of IB math book by Haese.
From playlist IB Math Studies Chapter 2
Overfitting 3: confidence interval for error
[http://bit.ly/overfit] The error on the test set is an approximation of the true future error. How close is it? We show how to compute a confidence interval [a,b] such that the error of our classifier in the future is between a and b (with high probability, and under the assumption that f
From playlist Overfitting
A Genome-Wide View of Transcription Fidelity
A Genome-Wide View of Transcription Fidelity. Filmed May 11, 2021 Abstract: Replication, transcription, and translation are the most fundamental molecular processes shared across the tree of life. While DNA mutation rates have been characterized for dozens of species, the rate at which RN
From playlist NCGAS: Genomics Research webinar series
Statistical Rethinking 2022 Lecture 17 - Measurement Error
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro: Music: https://www.youtube.com/watch?v=xXHH6bBAjDQ Palms: https://www.youtube.com/watch?v=We2KHqtqDos Pancake: https://www.youtube.com/watch?v=44ORuxym4fo Pause: https://www.youtube.com/watch?v=p
From playlist Statistical Rethinking 2022
Stanford Seminar - Flash Reliability in Production: The Expected and the Unexpected
"Flash Reliability in Production: The Expected and the Unexpected" - Bianca Schroeder of University of Toronto About the talk: As solid state drives based on flash technology are becoming a staple for persistent data storage in data centers, it is important to understand their reliabilit
From playlist Engineering
Nexus trimester - Michael Langberg (SUNY at Buffalo)
A reductionist view of network information theory Michael Langberg (SUNY at Buffalo) February 08, 2016 Abstract: The network information theory literature includes beautiful results describing codes and performance limits for many different networks. While common tools and themes are evi
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
DRAM Errors in the Wild: A Large-Scale Field Study
(October 21, 2009) Bianca Schroeder of the University of Toronto Computer Science Department gives an in depth discussion on how common dynamic random access memory errors are, their statistical properties, and how they are affected by external and chip-specific factors. Stanford Univer
From playlist Engineering
Local Correctability of Expander Codes - Brett Hemenway
Brett Hemenway University of Pennsylvania April 14, 2014 An error-correcting code is called locally decodable if there exists a decoding algorithm that can recover any symbol of the message with high probability by reading only a small number of symbols of the corrupted codeword. There is
From playlist Mathematics
16 2 Bloom Filters Heuristic Analysis 13 min
From playlist Algorithms 1
Capacity Approaching Coding for Low Noise (...) - D. Touchette - Main Conference - CEB T3 2017
Dave Touchette (Waterloo) / 12.12.2017 Title: Capacity Approaching Coding for Low Noise Interactive Quantum Communication Abstract: We consider the problem of implementing two-party interactive quantum communication over noisy channels, a necessary endeavor if we wish to fully reap quan
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
Nexus trimester - Allison Bishop (Columbia)
Interactive Coding for Intercative Proofs Allison Bishop (Columbia) February 08, 2016
From playlist Nexus Trimester - 2016 - Distributed Computation and Communication Theme
The Optimal Error Resilience of Interactive Communication over the Binary Alphabet - Rachel Zhang
Computer Science/Discrete Mathematics Seminar I Topic: The Optimal Error Resilience of Interactive Communication over the Binary Alphabet Speaker: Rachel Zhang Affiliation: Massachusetts Institute of Technology Date: October 17, 2022 In interactive coding, Alice and Bob wish to compute s
From playlist Mathematics
How to calculate margin of error and standard deviation
In this tutorial I show the relationship standard deviation and margin of error. I calculate margin of error and confidence intervals with different standard deviations. Playlist on Confidence Intervals http://www.youtube.com/course?list=EC36B51DB57E3A3E8E Like us on: http://www.facebook
From playlist Confidence Intervals