General topology

Filters in topology

Filters in topology, a subfield of mathematics, can be used to study topological spaces and define all basic topological notions such a convergence, continuity, compactness, and more. Filters, which are special families of subsets of some given set, also provide a common framework for defining various types of limits of functions such as limits from the left/right, to infinity, to a point or a set, and many others. Special types of filters called ultrafilters have many useful technical properties and they may often be used in place of arbitrary filters. Filters have generalizations called prefilters (also known as filter bases) and filter subbases, all of which appear naturally and repeatedly throughout topology. Examples include neighborhood filters/bases/subbases and uniformities. Every filter is a prefilter and both are filter subbases. Every prefilter and filter subbase is contained in a unique smallest filter, which they are said to generate. This establishes a relationship between filters and prefilters that may often be exploited to allow one to use whichever of these two notions is more technically convenient. There is a certain preorder on families of sets, denoted by that helps to determine exactly when and how one notion (filter, prefilter, etc.) can or cannot be used in place of another. This preorder's importance is amplified by the fact that it also defines the notion of filter convergence, where by definition, a filter (or prefilter) converges to a point if and only if where is that point's neighborhood filter. Consequently, subordination also plays an important role in many concepts that are related to convergence, such as and limits of functions. In addition, the relation which denotes and is expressed by saying that is subordinate to also establishes a relationship in which is to as a subsequence is to a sequence (that is, the relation which is called subordination, is for filters the analog of "is a subsequence of"). Filters were introduced by Henri Cartan in 1937 and subsequently used by Bourbaki in their book Topologie Générale as an alternative to the similar notion of a net developed in 1922 by E. H. Moore and H. L. Smith. Filters can also be used to characterize the notions of sequence and net convergence. But unlike sequence and net convergence, filter convergence is defined entirely in terms of subsets of the topological space and so it provides a notion of convergence that is completely intrinsic to the topological space; indeed, the category of topological spaces can be equivalently defined entirely in terms of filters. Every net induces a canonical filter and dually, every filter induces a canonical net, where this induced net (resp. induced filter) converges to a point if and only if the same is true of the original filter (resp. net). This characterization also holds for many other definitions such as cluster points. These relationships make it possible to switch between filters and nets, and they often also allow one to choose whichever of these two notions (filter or net) is more convenient for the problem at hand. However, assuming that "subnet" is defined using either of its most popular definitions (which are those and ), then in general, this relationship does not extend to subordinate filters and subnets because as , there exist subordinate filters whose filter/subordinate–filter relationship cannot be described in terms of the corresponding net/subnet relationship; this issue can however be resolved by using a less commonly encountered definition of "subnet", which is that of an . Thus filters/prefilters and this single preorder provide a framework that seamlessly ties together fundamental topological concepts such as topological spaces (via neighborhood filters), neighborhood bases, , , continuity, compactness, sequences (via ), the filter equivalent of "subsequence" (subordination), uniform spaces, and more; concepts that otherwise seem relatively disparate and whose relationships are less clear. (Wikipedia).

Filters in topology
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Introduction to Frequency Selective Filtering

http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g

From playlist Introduction to Filter Design

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Low Pass Filters & High Pass Filters : Data Science Concepts

What is a low pass filter? What is a high pass filter? Sobel Filter: https://en.wikipedia.org/wiki/Sobel_operator

From playlist Time Series Analysis

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Cube Drone - Bloom Filters

For more information on Bloom Filters, check the Wikipedias: http://en.wikipedia.org/wiki/Bloom_filter , for special topics like "How to get around the 'no deletion' rule" and "How do I generate all of these different hash functions anyways?" For other questions, like "who taught you how

From playlist Software Development Lectures

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Frequency domain – tutorial 3: filtering (periodic signals)

In this video, we learn about filtering which enables us to manipulate the frequency content of a signal. A common filtering application is to preserve desired frequencies and reject the unwanted content. The learning objectives are to: 1) review the filtering concept using Fourier series

From playlist Fourier

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Signal Smoothing

Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Learn how to smooth your signal using a moving average filter and Savitzky-Golay filter using Signal Processing Toolbox™. For more on Signal Processing Toolbox, visit: htt

From playlist Signal Processing and Communications

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Low Pass Filters and High Pass Filters - RC and RL Circuits

This electronics video tutorial discusses how resistors, capacitors, and inductors can be used to filter out signals according to their frequency. This video include examples such as RC low pass filters, RL low pass filters, RC high pass filters, and RL low pass filters. It provides the

From playlist Electronic Circuits

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Discrete noise filters

I discuss causal and non-causal noise filters: the moving average filter and the exponentially weighted moving average. I show how to do this filtering in Excel and Python

From playlist Discrete

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reaLD 3D glasses filter with a linear polarising filter

This is for a post on my blog: http://blog.stevemould.com

From playlist Everything in chronological order

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Stone-Čech Compactification of Discrete Spaces and The Space of Ultrafilters Top PhD Qual (Stream 4)

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From playlist CHALK Streams

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Topological Filters via Sheaves [Georg Essl]

This tutorial describes the basic construction of topological filters via sheaves. As a concrete example it shows how linear time-invariant filters can be realized over a simplicial line complex. It concludes by demonstrating a real-life rendering of sound of a filter-based plucked string

From playlist Tutorial-a-thon 2021 Fall

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Topological filters: a toolbox for processing dynamic signals - Michael Robinson

Workshop on Topology: Identifying Order in Complex Systems Topic: Topological filters: a toolbox for processing dynamic signals Speaker: Michael Robinson Affiliation: American University Date: April 7, 2018 For more videos, please visit http://video.ias.edu

From playlist Mathematics

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Antonio Rieser (03/29/23) Algebraic Topology for Graphs & Mesoscopic Spaces: Homotopy & Sheaf Theory

Title: Algebraic Topology for Graphs and Mesoscopic Spaces: Homotopy and Sheaf Theory Abstract: In this talk, we introduce the notion of a mesoscopic space: a metric space decorated with a privileged scale, and we survey recent developments in the algebraic topology of such spaces. Our ap

From playlist AATRN 2023

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Tom Needham - Decorated Merge Trees for Persistent Topology

38th Annual Geometric Topology Workshop (Online), June 15-17, 2021 Tom Needham, Florida State University Title: Decorated Merge Trees for Persistent Topology Abstract: I will introduce the concept of a decorated merge tree (DMT), an invariant which tracks interactions between homological

From playlist 38th Annual Geometric Topology Workshop (Online), June 15-17, 2021

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A System for Analog Filter Design, Realization, and Verification Using Mathematica and SystemModeler

Analog filters are an essential part of modern electronics; however, their design, realization and verification can be arduous and time consuming. This paper describes a Mathematica and SystemModeler platform for automated, fast analog filter design and simulation. The platform consists of

From playlist Wolfram Technology Conference 2013

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Sabah Jassim (6/2/20) Topological analysis of convolutional neural network layers for image analysis

Title: Topological analysis of convolutional neural network layers for image analysis Abstract: Topological Data Analysis and its computational tool of Persistent Homology have been shown to be highly effective in detecting a variety of barely visible tiny changes in image texture primiti

From playlist SIAM Topological Image Analysis 2020

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Dustin Clausen - Toposes generated by compact projectives, and the example of condensed sets

Talk at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ The simplest kind of Grothendieck topology is the one with only trivial covering sieves, where the associated topos is equal to the presheaf topos. The next simplest topology ha

From playlist Toposes online

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Julien Tierny (5/19/20): An Introduction to the Topology ToolKit

Title: An Introduction to the Topology ToolKit Abstract: This talk gives a global overview of the Topology ToolKit (TTK), an open-source library for topological data analysis and visualization. After introducing the main concepts behind TTK's usage, I will demo how to use it with simple e

From playlist Tutorials

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Jose Perea (5/2/21): Quasiperiodicity and Persistent Kunneth Theorems

A signal is said to be quasiperiodic if its constitutive frequencies are linearly independent over the rationals. With appropriate parameters, the sliding window embedding of such a function can be shown to be dense in a torus of dimension equal to the number of independent frenquencies. I

From playlist TDA: Tutte Institute & Western University - 2021

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Digital Filtering

Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Remove an unwanted tone from a signal, and compensate for the delay introduced in the process using Signal Processing Toolbox™. For more on Signal Processing Toolbox, visi

From playlist Signal Processing and Communications

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