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158 results

Fabian Gabel
Convolution of Infinite and Finite Sequences | Mathematical Image Processing | Exercise 05

This is Exercise 05 of the course "Mathematical Image Processing" held at #tuhh in 2021/2022. Watch the full series at ...

44:52
Convolution of Infinite and Finite Sequences | Mathematical Image Processing | Exercise 05

395 views

3 years ago

John Buck
Circular Convolution

Example showing how multiplying DFTs in frequency gives circular convolution in time, including using Matlab to check our ...

20:43
Circular Convolution

44,330 views

12 years ago

NPTEL IIT Guwahati
Lec 16: Convolution

Simulation Of Communication Systems Using Matlab https://onlinecourses.nptel.ac.in/noc23_ee136/preview Prof. Dr. Ribhu ...

34:45
Lec 16: Convolution

2,246 views

2 years ago

CodeEmporium
How to enhance performance of a Convolution Network? Feature Pyramid Networks - Explained!

In this video, we take a look at Feature Pyramid Networks (FPN). What is it? How does it work? Why they are so useful in computer ...

27:31
How to enhance performance of a Convolution Network? Feature Pyramid Networks - Explained!

612 views

1 month ago

Gate Forum
2

Networks, Signals and Systems Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin ...

1:13:11
2

145 views

7 years ago

Salaar Khan
Example 2.4

Lecture 57 Examples on convolution Watch previous video here : https://youtu.be/0bGfKRo8BAo Watch next video here ...

25:21
Example 2.4

1,106 views

5 years ago

Gate Forum
Problem Session

Networks, Signals and Systems Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin ...

57:50
Problem Session

31 views

7 years ago

Gate Forum
1

Networks, Signals and Systems Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin ...

1:09:12
1

89 views

7 years ago

Alfredo Canziani (冷在)
04.1 – Natural signals properties and the convolution

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 ...

1:09:13
04.1 – Natural signals properties and the convolution

15,797 views

4 years ago

Gate Forum
3

Networks, Signals and Systems Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin ...

1:09:29
3

58 views

7 years ago

Fabian Gabel
Discrete Fourier Transformation Part (I) - Basics | Mathematical Image Processing | Exercise 06

This is part (I) of my introduction to the discrete Fourier transformation and Exercise 06 of the course "Mathematical Image ...

43:54
Discrete Fourier Transformation Part (I) - Basics | Mathematical Image Processing | Exercise 06

364 views

3 years ago

Gate Forum
4

Networks, Signals and Systems Network solution methods: nodal and mesh analysis; Network theorems: superposition, Thevenin ...

49:11
4

86 views

7 years ago

Department of ECE RGUKT BASAR
Unit 01-Lec 05-Two dimensional signals and systems 1

Now uh similarly what we have done in the previous previously for linear convolution we have written this expression in terms of ...

44:19
Unit 01-Lec 05-Two dimensional signals and systems 1

1,041 views

4 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 17 Discrete Time Convolution Part 1 in Hindi

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

31:35
Signals and Systems 17 Discrete Time Convolution Part 1 in Hindi

490 views

6 years ago

Alfredo Canziani (冷在)
Matrix multiplication, signals, and convolutions

Spring 2020 website: http://bit.ly/pDL-home Spring 2020 playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani From NYU ...

47:02
Matrix multiplication, signals, and convolutions

5,751 views

5 years ago

Jeremy Howard
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...

2:17:43
Lesson 6: Deep Learning 2019 - Regularization; Convolutions; Data ethics

72,323 views

6 years ago

Himanshu Kaushik | DigiiMento GATE, NET, CSE Prep
Signals and Systems 17 Discrete Time Convolution Part 1

These videos are helpful for the following Examinations - GATE Computer Science, GATE Electronics and Communication, NTA ...

31:35
Signals and Systems 17 Discrete Time Convolution Part 1

805 views

7 years ago

nptelhrd
Mod-05 Lec-21 Inverse problems in deterministic Continued

Dynamic Data Assimilation: an introduction by Prof S. Lakshmivarahan,School of Computer Science,University of Oklahoma.

54:25
Mod-05 Lec-21 Inverse problems in deterministic Continued

607 views

9 years ago

Kevin's Mathematical Musings
Fast Discrete Radon Transformation

The organ card reader software finishes with the Discrete Radon Transformation, a fast and exact method for detecting straight ...

22:46
Fast Discrete Radon Transformation

618 views

4 years ago

MLVU
6 Linear Models 2: Neural Networks, Scalar Backpropagation, SVMs and Kernel methods (MLVU2020)

slides: https://mlvu.github.io/lectures/32.LinearModels2.annotated.pdf course materials: https://mlvu.github.io Today we discuss ...

1:26:08
6 Linear Models 2: Neural Networks, Scalar Backpropagation, SVMs and Kernel methods (MLVU2020)

2,878 views

5 years ago

Salaar Khan
Analysis and characterisation of LTI systems using laplace transform

Lecture 125 Analysis and characterisation of LTI systems using laplace transform. We see the causality and stability of a systems ...

29:44
Analysis and characterisation of LTI systems using laplace transform

1,288 views

4 years ago

VTU e-Shikshana Programme
Module 01 -- Lecture 08

Transform Calculus, Fourier Series And Numerical Techniques.

56:02
Module 01 -- Lecture 08

404 views

5 years ago

V S S K R Naganjaneyulu Gudapati
Two dimensional signals and systems-1
44:19
Two dimensional signals and systems-1

905 views

5 years ago

Isma L
A Neural Network with Feature Sparsity - Ismael Lemhadri

https://ismael.lemhadri.org/papers/lassonet.html Industrial Affiliates Conference Statistics Department, Stanford University 22nd ...

22:07
A Neural Network with Feature Sparsity - Ismael Lemhadri

352 views

6 years ago

EIMI, PDMI RAS and Chebyshev Laboratory
A.L. Piatnitski | Variational approach in homogenization of convolution type operators

O.A. Ladyzhenskaya centennial conference on PDE's, St. Petersburg, July 16 – July 22, 2022 Andrey L. Piatnitski (The Arctic ...

37:30
A.L. Piatnitski | Variational approach in homogenization of convolution type operators

89 views

3 years ago