Studyportals
Short Course Online

Sparse Representations in Signal and Image Processing

edX - online learning platform

3 months
Duration
268 USD/full
268 USD/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

EdX is an online learning platform trusted by over 12 million users offering the Sparse Representations in Signal and Image Processing Professional Certificate in collaboration with IsraelX. Learn the theory, tools and algorithms of sparse representations.

Overview

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.

This Sparse Representations in Signal and Image Processing Professional Certificate from EdX in partnership with IsraelX will introduce you to the field of sparse representations, starting with its theoretical foundations, and systematically present its key achievements. We will touch on theory, numerical algorithms, and applications in image processing.

The tools and algorithms presented in this program are state-of-the art in these fields, and relevant to many applications and needs, covering signal/image restoration, segmentation, sampling, compression, recognition, anomaly detection, separation, and more. 

This program is relevant to algorithm developers in machine learning and data mining. The tools learned will help developers be more effective in revealing hidden structures of given data, which is valuable for classification, clustering, stock market prediction, and more.

Job Outlook

  • Career prospects for people with similar training include algorithm developers in signal and image processing, machine learning and data mining.
  • The average base salary for Data Scientists is $117K per year (Forbes).
  • According to a report from Glassdoor, Data Scientists lead the pack for best jobs in America; According to the Harvard Business Review, Data Scientist is “the hot job of the decade”.

What You'll Learn

  • Fundamental theoretical contributions of sparse representation theory.
  • The importance of models in data processing.
  • Dictionary learning algorithms and their role in using this mode.
  • How to deploy sparse representations to signal and image processing tasks.

Programme Structure

Courses include:
  • Sparse Representations in Signal and Image Processing: Fundamentals
  • Sparse Representations in Image Processing: From Theory to Practice

Key information

Duration

  • Part-time
    • 3 months
    • 5 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To alway see correct tuition fees
  • International

    268 USD/full
    Tuition Fee
    Based on the tuition of 268 USD for the full programme during 3 months.
  • National

    268 USD/full
    Tuition Fee
    Based on the tuition of 268 USD for the full programme during 3 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Sparse Representations in Signal and Image Processing
-
edX - online learning platform

Wishlist

Go to your profile page to get personalised recommendations!

Tuition fee settings