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Engineering
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Digital Signal Processing 3: Analog vs Digital

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Coursera

5

(2)

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Course Features

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Duration

16 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

16 hours

Course Description

Digital Signal Processing (DSP) is a branch of engineering that has revolutionized communication and entertainment. By combining electronics, computer science, and telecommunications, DSP has paved the way for advancements such as CDs, DVDs, MP3 players, and numerous other devices. This field focuses on converting analog signals to digital signals, allowing for more efficient processing and storage. DSP has played a crucial role in the digital revolution, enabling inter-personal communication and on-demand entertainment to flourish in a relatively short time span. With its ability to optimize and enhance signals, DSP has become an integral part of our modern world.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 5 Percentile

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Hands on training

This course stands out as one of the top 5 percentile options in Digital Signal Processing, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Digital Signal Processing, boasting a rating greater than 4 and an overall rating of 4.8. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Digital Signal Processing.

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Course Overview

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Virtual Labs

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

The difference between continuous and discrete time

Sampling and interpolation

Quantization, A/D and D/A converters

Multirate signal processing

Course Instructors

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Paolo Prandoni

School of Computer and Communication Science

Paolo Prandoni fell in love with signal processing twenty years ago and has never had any reason to regret it. He graduated from Padua (Italy) and obtained his PhD from EPFL (Switzerland) with a stin...
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Martin Vetterli

School of Computer and Communication Sciences

Martin Vetterli, educated at ETHZ, Stanford, and EPFL, has been on the faculty at Columbia and Berkeley and is now a professor at EPFL. He has been interested in signal processing all his life, first...
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Course Reviews

Average Rating Based on 2 reviews

4.8

100%

Course FAQs

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