Sparse Representations in Signal and Image Processing
Fundamentals
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Sparse Representations in Signal and Image Processing,
This course introduces the fundamentals of the field of sparse representations, starting with its theoretical concepts, and systematically presenting its key achievements. We will touch on theory and numerical algorithms.
Modeling data is the way we - scientists - believe that information should be explained and handled. Indeed, models play a central role in practically every task in signal and image processing. Sparse representation theory puts forward an emerging, highly effective, and universal such model. Its core idea is the description of the data as a linear combination of few building blocks - atoms - taken from a pre-defined dictionary of such fundamental elements.
A series of theoretical problems arise in deploying this seemingly simple model to data sources, leading to fascinating new results in linear algebra, approximation theory, optimization, and machine learning. In this course you will learn of these achievements, which serve as the foundations for a revolution that took place in signal and image processing in recent years.
What you'll learn
- About the fundamental ideas of sparse representation theory - exploring properties such as uniqueness, equivalence, and stability.
- About sparse coding algorithms and their proven ability to perform well.
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Rating | 5.0★ based on 1 ratings |
---|---|
Length | 5 weeks |
Effort | 5 - 6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $149 |
From | IsraelX, Technion via edX |
Instructors | Michael Elad, Yaniv Romano, Michael Elad, Alona Golts |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Analysis & Statistics Math Engineering Technion |
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What people are saying
assignments based on matlab
Most of the course was theoretical but it did include two programming assignments based on MATLAB where we implement some of the algorithms.
include two programming assignments
interesting course which covers
Interesting course which covers the concepts of Sparse modelling in image processing applications.
sparse modelling in image
foundation in linear algebra
The requires some strong foundation in Linear algebra.
image processing applications
lot to learn
Overall it is worth the time and a lot to learn.
matlab where
did include
strong foundation
theoretical but
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Image Specialist 1 $43k
Image Clerk $43k
Image Contributor $53k
Advanced Image Processing Spec $57k
Image Specialist 3 $57k
Image Processing Software Engineer $59k
Image Processing Algorithm Engineer $66k
Image Processing/Computer Vision Specialist TS/SCI $69k
Image Management $71k
SME - Image Signal Processing Pipeline $71k
Advanced Image Processing Specialist $77k
Image-Signal Processing Engineer $80k
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Rating | 5.0★ based on 1 ratings |
---|---|
Length | 5 weeks |
Effort | 5 - 6 hours per week |
Starts | On Demand (Start anytime) |
Cost | $149 |
From | IsraelX, Technion via edX |
Instructors | Michael Elad, Yaniv Romano, Michael Elad, Alona Golts |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Analysis & Statistics Math Engineering Technion |
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