Signal Processing

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Advanced Machine Learning and Signal Processing (Coursera)

Dec 5th 2022
Advanced Machine Learning and Signal Processing (Coursera)
Course Auditing
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This course, Advanced Machine Learning and Signal Processing, is part of the IBM Advanced Data Science Specialization which IBM is currently creating and gives you easy access to the invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about [...]

Digital Signal Processing 4: Applications (Coursera)

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the [...]

Audio Signal Processing for Music Applications (Coursera)

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, [...]

Sparse Representations in Image Processing: From Theory to Practice (edX)

Self Paced
Sparse Representations in Image Processing: From Theory to Practice (edX)
Course Auditing
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Learn about the deployment of the sparse representation model to signal and image processing. This course is a follow-up to the first introductory course of sparse representations. Whereas the first course puts emphasis on the theory and algorithms in this field, this course shows how these apply to actual [...]

Sparse Representations in Signal and Image Processing: Fundamentals (edX)

Learn about the field of sparse representations by understanding its fundamental theoretical and algorithmic foundations. 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 [...]

Signals and Systems, Part 2 (edX)

No sessions available
Signals and Systems, Part 2 (edX)
Course Auditing
Categories
Effort
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This course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterisation. We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, [...]
No sessions available
Course Auditing
41.00 EUR

Signals and Systems, Part 1 (edX)

No sessions available
Signals and Systems, Part 1 (edX)
Course Auditing
Categories
Effort
Languages
This course provides the basic toolkit for any signal processing application - the abstraction of signals and systems, from the point of view of analysis and characterization. We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing [...]
No sessions available
Course Auditing
43.00 EUR

Discrete Time Signals and Systems, Part 2: Frequency Domain (edX)

Enter the world of signal processing: analyze and extract meaning from the signals around us! Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks [...]

Discrete Time Signals and Systems, Part 1: Time Domain (edX)

Enter the world of signal processing: analyze and extract meaning from the signals around us! Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks [...]

Discrete-Time Signal Processing (edX)

A focused view into the theory behind modern discrete-time signal processing systems and applications. 6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications.