Online Course – Google Certified Professional Internship in Digital Signal Processing, École Polytechnique Fédérale de Lausanne

Digital Signal Processing: From Theory to Practice. Detecting discrete signals, analyzing them with Fourier transforms, manipulating them with filters, and introducing digital data communications and real-time DSP.

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קורס אונליין - התמחות מקצועית מוסמכת בעיבוד אותות דיגיטליים של Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

Data analysis using Fourier transform
Data processing using digital filters
Converting analog signals to digital format
Implementing real-time DSP algorithms on a general microcontroller

What you will learn in the course

Courses for which the course is suitable

Digital Signal Processing Engineer
Audio processing algorithm developer
Microcontroller Systems Engineer
Data Analyst
Software developer in the field of signal processing
Software Engineer with a specialization in digital processing
Real-time solution developer
Embedded Systems Engineer
Audio application developer
Data Engineer

Internship – 4-part course series

This specialization offers a complete course in digital signal processing, with an emphasis on audio processing and data transmission. You will start with a basic understanding of discrete signals, and learn how to:

Analyze data using Fourier transform
Process data using digital filters
Convert analog signals to digital format
Implement real-time DSP algorithms on a general microcontroller

The solid theoretical foundations provided in the four courses are accompanied by practical examples in Python, in the form of Jupiter notebooks. Exercises with solutions provide plenty of examples to help you with your weekly homework.

Hands-on Learning Project

The internship does not include a final project. It is not necessary to complete a final project to complete the internship.

Details of the courses that make up the specialization

Digital signal processing

Course 1: Basic Concepts and Algorithms

Course duration: 28 hours

Rating: 4.5 (581 ratings)

Essence of discrete signals
Discrete signals are vectors in a vector space
Discrete signal analysis in the frequency domain using the Fourier transform

Course 2: Filtration

Course duration: 18 hours

Rating: 4.7 (180 ratings)

Digital filters, how they work
Digital filter design
Adaptive signal processing

Course 3: Analog vs. Digital

Course duration: 15 hours

Rating: 4.8 (78 ratings)

The difference between continuous time and discrete time
Sampling and interpolation
Quantization, A/D converters and D/A converters
High-speed signal processing

Course 4: Applications

Course duration: 14 hours

Rating: 4.7 (69 ratings)

The basics of image processing
How digital communication systems work, including ADSL
How to program a microcontroller to implement real-time DSP algorithms