Search result for Signal processing applications Online Courses & Certifications
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Signal processing problems, solved in MATLAB and in Python
by Mike X Cohen- 4.6
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12.5 hours on-demand video
Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes The main focus of this course is on implementing signal processing techniques in MATLAB and in Python. In this course, you will also learn how to simulate signals in order to test and learn more about your signal processing and analysis methods....
$11.99
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...
Sparse Representations in Image Processing: From Theory to Practice
by Michael Elad , Alona Golts- 0.0
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5 Weeks
Learn about the deployment of the sparse representation model to signal and image processing. Whereas the first course puts emphasis on the theory and algorithms in this field, this course shows how these apply to actual signal and image processing needs. How to deploy sparse representations to signal and image processing tasks....
$149
Audio Signal Processing for Music Applications
by Xavier Serra , Prof Julius O Smith, III- 4.8
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Approx. 49 hours to complete
In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. Introduction to Audio Signal Processing Beyond audio processing...
Digital Signal Processing with MATLAB (Codes Included)
by Hossein Tootoonchy- 4
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2.5 hours on-demand video
Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes In this course, students will explore the vast world that is digital signal processing....
$12.99
Discrete-Time Signal Processing
by Alan V. Oppenheim , Tom Baran- 0.0
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4 Weeks
A focused view into the theory behind modern discrete-time signal processing systems and applications. 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. 341x Discrete-Time Signal Processing, on edX, Summer 2016....
$99
Master the Fourier transform and its applications
by Mike X Cohen- 4.7
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6.5 hours on-demand video
Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing 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!) MATLAB code, Python code, and sample datasets for applications...
$15.99
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Learn Audio processing like engineers do !
by Mohamed Elatoubi- 3.2
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1.5 hours on-demand video
In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We will be using the MATLAB software in order to complete all of our projects and applications but you don't have to worry because we have a solution for the software inside the course ....
$9.99
Introduction to Biomedical Engineering
by Dr Kirill Aristovich- 4.3
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Approx. 18 hours to complete
By the end of the course, the students will be able to practically understand and design electronic systems for electrophysiological signal acquisition, connect and program the microcontroller, organise the data transmission between a controller and PC, process the acquired signal and control a simple robot with the acquired signal in real-time. How to code in MATLAB for advanced signal processing...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn...
