Search result for Master of science in signal processing Online Courses & Certifications
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Discrete-Time Signal Processing
by Alan V. Oppenheim , Tom Baran- 0.0
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4 Weeks
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. The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals....
$99
Master the Fourier transform and its applications
by Mike X Cohen- 4.7
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6.5 hours on-demand video
The Fourier transform is one of the most important operations in signal processing and modern technology, and therefore in modern human civilization. Signal processing or image processing expert (or aspiring!) With >3000 lines of MATLAB and Python code, this course is also a great way to improve your programming skills, particularly in the context of signal processing and image processing....
$15.99
Signals, Systems, and Learning
by Richard G. Baraniuk- 0.0
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8 Weeks
Data science is of growing importance in every STEM field. This class develops a principled approach to using the terminology, models, and algorithms found in signal processing and machine learning, the mathematical backbone of data science. Practical implementation of signal processing and machine learning algorithms on data from the real world...
$249
Digital Signal Processing 1: Basic Concepts and Algorithms
by Paolo Prandoni , Martin Vetterli- 4.6
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Approx. 29 hours to complete
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. In this series of four courses, you will learn the fundamentals of Digital Signal Processing from the ground up. Signal of the Day: The first man-made signal from outer space...
Digital Signal Processing 2: Filtering
by Paolo Prandoni , Martin Vetterli- 4.7
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Approx. 18 hours to complete
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. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Signal of the Day: Image Resolution and Space Exploration...
Digital Signal Processing 4: Applications
by Paolo Prandoni , Martin Vetterli- 0.0
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Approx. 14 hours to complete
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. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. 3: REAL-TIME AUDIO SIGNAL PROCESSING...
Digital Signal Processing 3: Analog vs Digital
by Paolo Prandoni , Martin Vetterli- 4.8
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Approx. 16 hours to complete
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. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Signal of the Day: Lehman Brothers...
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Signals and Systems, Part 1
by Vikram Gadre- 0.0
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10 Weeks
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. Each of these involves gathering, storing, transmitting and processing information from the physical world. How to unite abstractions for several kinds of systems, to draw a common system description...
$49
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. How to recognize convex optimization problems that arise in applications. How to present the basic theory of such problems, concentrating on results that are useful in computation....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. How to recognize convex optimization problems that arise in applications. How to present the basic theory of such problems, concentrating on results that are useful in computation....
