Engineering
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Digital Signal Processing 4: Applications

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4.5

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Course Features

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Duration

14 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

14 hours

Course Description

Digital Signal Processing (DSP) is a branch of engineering that has revolutionized communication and entertainment. It combines the best of electronics, computer science, and telecommunications to create a unified paradigm. DSP has played a crucial role in the development of devices like CDs, DVDs, and MP3 players, as well as countless other applications.

By utilizing DSP, engineers are able to design digital signals and processors that enhance communication systems and entertainment devices. The applications of DSP are vast and include algorithms for processing digital signals and creating efficient systems.

The digital signal processing system is at the heart of the digital revolution, enabling inter-personal communication and on-demand entertainment in a short span of time. It has transformed the way we communicate and consume media, allowing for seamless transmission and playback of audio and video content.

DSP has become an essential component in various industries, including telecommunications, audio/video processing, and data analysis. It has enabled the development of advanced communication systems, such as 4G and 5G networks, which offer faster data transfer rates and improved signal quality.

Overall, digital signal processing has had a profound impact on our daily lives. It has paved the way for technological advancements that have made communication and entertainment more accessible and efficient. The continuous evolution of DSP will continue to shape the future of digital communication and entertainment systems.

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 basics of image processing

How digital communication systems work, including ADSL

How to program a microcontroller to implement real-time DSP algorithms

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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