Massachusetts Institute of Technology
Sign in

Correlation and Convolution

In this lecture, we'll learn about two mathematical operations that are commonly used in signal processing, convolution and correlation. The convolution is used to linearly filter a signal, for example to smooth a spike train to estimate probability of firing. The correlation is used to characterize the statistical dependencies between two signals.

Comments (0)

It looks like no one has posted a comment yet. You can be the first!

You need to log in, in order to post comments.

Created
October 08, 2010 13:01
Category
Tags
License
All Rights Reserved (What is this?)
Additional Files


Viewed
5809 times

More from 9.29 Introduction to Computational Neuroscience (2004)

Bernoulli, Poisson, and Markov Processes

Bernoulli, Poisson, and Markov Proc...

Added 7 years ago | 01:08:00 | 4313 views

Hodgkin Huxley Model II

Hodgkin Huxley Model II

Added 7 years ago | 01:20:00 | 4079 views

Project Presentations I

Project Presentations I

Added 7 years ago | 01:21:00 | 4170 views

Wiener-Hopf equations & Convolution and correlation in continuous time

Wiener-Hopf equations & Convolution...

Added 7 years ago | 01:18:00 | 4944 views

Project Presentations II

Project Presentations II

Added 7 years ago | 01:17:00 | 2931 views

Introduction

Introduction

Added 7 years ago | 01:18:00 | 7634 views