[Coursera] – Digital Signal Processing Specialization
![[Coursera] Digital Signal Processing Specialization](https://courseclub.me/wp-content/uploads/2021/08/56492321.jpg)
Digital Signal Processing from theory to practice. Discover discrete-time signal and analyze them with the Fourier transform. Manipulate signals with filters. Move back and forth from the analog to the digital world and learn about digital data communication and real-time DSP.
WHAT YOU WILL LEARN
Discover discrete-time signal and analyze them with the Fourier transform.
Learn to manipulate signals with filters.
Move back and forth from the analog to the digital world.
Learn about digital data communication and real-time DSP.
About this Specialization
This Specialization provides a full course in Digital Signal Processing, with a focus on audio processing and data transmission. You will start from the basic concepts of discrete-time signals and proceed to learn how to analyze data via the Fourier transform, how to manipulate data via digital filters and how to convert analog signals into digital format. Finally, you will also discover how to implement real-time DSP algorithms on a general-purpose microcontroller. The solid theoretical bases provided by the four courses in this specialization are complemented by applied examples in Python, in the form of Jupyter Notebooks; exercises with solutions provide a wealth of examples in order to tackle the weekly homework.
Applied Learning Project
The solid theoretical bases provided by the four courses in this specialization are complemented by applied examples in Python, in the form of Jupyter Notebooks; exercises with solutions provide a wealth of examples in order to tackle the weekly homework. This Specialization does not include a final project. You do not have to complete a final project in order to complete the Specialization.
Take Courses
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Hands-on Project
Every Specialization includes a hands-on project. You’ll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you’ll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you’ll earn a Certificate that you can share with prospective employers and your professional network.
Description
Digital Signal Processing Specialization is a course in digital signal processing from theory to practice. Discover time-discrete signals and analyze them using Fourier transform. Manipulate signals using filters and learn about digital communication and DSP in real time. In this series of specialization courses, a complete training for digital signal processing is provided, which we will focus on processing audio and transmitted data. You will start with the basic concepts and move on to discrete time signals.
The principles of the theory presented in the four courses have a practical supplement in Python that includes exercises with solutions.
What you will learn in the Digital Signal Processing Specialization course:
- Discover time-discrete signals and analyze them using Fourier transform
- Learn to manipulate signals using filters
- Take a round trip to the analog and digital world.
- Learn about digital data connection and real-time DSP.
Skills you will learn in the Digital Signal Processing Specialization course set:
- data transfer
- Sound processing
- Ipython
- Fourier analysis
Size: 875.85 MB
https://www.coursera.org/specializations/digital-signal-processing.