Filter theory

Infinite impulse response

Infinite impulse response (IIR) is a property applying to many linear time-invariant systems that are distinguished by having an impulse response which does not become exactly zero past a certain point, but continues indefinitely. This is in contrast to a finite impulse response (FIR) system in which the impulse response does become exactly zero at times for some finite , thus being of finite duration. Common examples of linear time-invariant systems are most electronic and digital filters. Systems with this property are known as IIR systems or IIR filters. In practice, the impulse response, even of IIR systems, usually approaches zero and can be neglected past a certain point. However the physical systems which give rise to IIR or FIR responses are dissimilar, and therein lies the importance of the distinction. For instance, analog electronic filters composed of resistors, capacitors, and/or inductors (and perhaps linear amplifiers) are generally IIR filters. On the other hand, discrete-time filters (usually digital filters) based on a tapped delay line employing no feedback are necessarily FIR filters. The capacitors (or inductors) in the analog filter have a "memory" and their internal state never completely relaxes following an impulse (assuming the classical model of capacitors and inductors where quantum effects are ignored). But in the latter case, after an impulse has reached the end of the tapped delay line, the system has no further memory of that impulse and has returned to its initial state; its impulse response beyond that point is exactly zero. (Wikipedia).

Infinite impulse response
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Here's a re-enactment of the famous paradox known as the "infinite monkey theorem."

From playlist Cosmic Journeys

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https://en.wikipedia.org/wiki/Infinite_product If you have any questions of want to contribute to code or videos, feel free to write me a message on youtube or get my contact in the About section or googling my contacts.

From playlist Analysis

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Infinite Limit Laws

Infinite Limit Laws In this video, I illustrate the definition of an infinite limit by proving the infinite product rule: If sn goes to infinity and tn goes to t (positive), then sn tn goes to infinity. Other examples of limits can be seen in the playlist below. Definition of a Limit:

From playlist Sequences

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From playlist Calculus

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From playlist Infinite Series

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From playlist Infinite Series

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From playlist Summer of Math Exposition Youtube Videos

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http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduces the impulse response and convolution sum for determining the output of a linear time-invariant system from the input. Defines finit

From playlist Introduction and Background

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From playlist Engineering Math: Differential Equations and Dynamical Systems

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Lec 17 | MIT RES.6-008 Digital Signal Processing, 1975

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From playlist MIT RES.6-008 Digital Signal Processing, 1975

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Lec 14 | MIT RES.6-008 Digital Signal Processing, 1975

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From playlist MIT RES.6-008 Digital Signal Processing, 1975

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From playlist Introduction to Filter Design

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The Laplace Transform - A Graphical Approach

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From playlist Fourier

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From playlist Calculus

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From playlist MIT RES.6.007 Signals and Systems, 1987

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From playlist Lecture Collection | The Fourier Transforms and Its Applications

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From playlist MIT 6.451 Principles of Digital Communication II

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Ex: Find the Error When Using a Partial Sum to Estimate an Infinite Sum (Alternating Series)

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From playlist Infinite Series

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ME565 Lecture 24: Convolution integrals, impulse and step responses

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From playlist Engineering Mathematics (UW ME564 and ME565)

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Ex: Number of Terms Needed in Partial Sum to Estimate an Infinite Sum with a Given Error.

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From playlist Infinite Series

Related pages

Z-transform | Butterworth filter | Radius of convergence | Autoregressive model | Linear time-invariant system | Finite impulse response | Transfer function | Roll-off | System analysis | Electronic filter | Impulse response | Chebyshev filter | Elliptic filter | Pole–zero plot | Recurrence relation | Limit cycle | Bilinear transform | Impulse invariance | Bessel filter | Heaviside step function | Digital filter