Multidimensional signal processing

Two-dimensional filter

Two dimensional filters have seen substantial development effort due to their importance and high applicability across several domains. In the 2-D case the situation is quite different from the 1-D case, because the multi-dimensional polynomials cannot in general be factored. This means that an arbitrary transfer function cannot generally be manipulated into a form required by a particular implementation. The input-output relationship of a 2-D IIR filter obeys a constant-coefficient linear partial difference equation from which the value of an output sample can be computed using the input samples and previously computed output samples. Because the values of the output samples are fed back, the 2-D filter, like its 1-D counterpart, can be unstable. (Wikipedia).

Two-dimensional filter
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The Two-Dimensional Discrete Fourier Transform

The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen

From playlist Fourier

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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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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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From playlist Time Series Analysis

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Visit http://ilectureonline.com for more math and science lectures! In this video I will explain how phase difference is created by light traveling through a double slit.

From playlist PHYSICS 60 INTERFERENCE OF LIGHT

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Ramon van Handel - Filtering in high dimension III

PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi

From playlist Nonlinear filtering and data assimilation

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Gang George Yin: "High-Dimensional HJBs: Mean-Field Limits and McKean-Vlasov Equations"

High Dimensional Hamilton-Jacobi PDEs 2020 Workshop I: High Dimensional Hamilton-Jacobi Methods in Control and Differential Games "High-Dimensional HJBs: Mean-Field Limits and McKean-Vlasov Equations" Gang George Yin, Wayne State University Abstract: In this talk, we will study mean-fiel

From playlist High Dimensional Hamilton-Jacobi PDEs 2020

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Physics 60 Optics: Double Slit Interference (15 of 25) Find Phase Difference and Intensity

Visit http://ilectureonline.com for more math and science lectures! . In this video I will find the phase difference and intensity of 2 broadcasting tower 20m apart.

From playlist PHYSICS 60 INTERFERENCE OF LIGHT

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Sri Namachchivaya - Stability, dimensional reduction and data assimilation in random dynamical sy

PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi

From playlist Nonlinear filtering and data assimilation

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Edward Ionides: Island filters for inference on metapopulation dynamics

Low-dimensional compartment models for biological systems can be fitted to time series data using Monte Carlo particle filter methods. As dimension increases, for example when analyzing a collection of spatially coupled populations, particle filter methods rapidly degenerate. We show that

From playlist Probability and Statistics

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Discussion Meeting

PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi

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Duality between estimation and control - Sanjoy Mitter

PROGRAM: Data Assimilation Research Program Venue: Centre for Applicable Mathematics-TIFR and Indian Institute of Science Dates: 04 - 23 July, 2011 DESCRIPTION: Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical mod

From playlist Data Assimilation Research Program

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Sri Namachchivaya - Stability, dimensional reduction and data assimilation in random dynamical s

PROGRAM: Nonlinear filtering and data assimilation DATES: Wednesday 08 Jan, 2014 - Saturday 11 Jan, 2014 VENUE: ICTS-TIFR, IISc Campus, Bangalore LINK:http://www.icts.res.in/discussion_meeting/NFDA2014/ The applications of the framework of filtering theory to the problem of data assimi

From playlist Nonlinear filtering and data assimilation

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Sri Namachchivaya - Stability, dimensional reduction and data assimilation in random dynamical sy

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AMMI 2022 Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen

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From playlist AMMI Geometric Deep Learning Course - Second Edition (2022)

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TensorFlow Tutorial #02 Convolutional Neural Network

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From playlist Deep Learning

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Zero-Phase Filtering

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Noncausal filtering of stored data to obtain zero-phase response using the time-reversal property of the DFT, as implemented by the "filtfilt" comma

From playlist Introduction to Filter Design

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Differential equation | Z-transform | Finite impulse response | Infinite impulse response | Discretization | Passband | Transfer function | Continuous function | Impulse response | Genetic algorithm | Digital filter