- Level Professional
- المدة
- الطبع بواسطة École Polytechnique Fédérale de Lausanne
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Offered by
عن
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.Auto Summary
Embark on a comprehensive journey into the world of Digital Signal Processing with this specialized course designed for professionals in Business & Management. This program delves into the essentials of audio processing and data transmission, starting from the fundamental concepts of discrete-time signals. You will master the analysis of data using the Fourier transform, learn to manipulate data with digital filters, and understand the process of converting analog signals into digital formats. A unique feature of this course is its practical approach, featuring real-time DSP algorithm implementation on general-purpose microcontrollers. Led by expert instructors from Coursera, this specialization spans four detailed courses, blending robust theoretical knowledge with hands-on applications in Python through Jupyter Notebooks. Each module includes exercises and solutions to reinforce learning and prepare you for weekly homework tasks. This professional-level course is available through flexible subscription options, including Starter and Professional plans, making it accessible for various learning needs and schedules. Ideal for professionals looking to deepen their expertise in digital signal processing, this course promises to enhance your skills and knowledge in a vital area of business and technology.

Paolo Prandoni

Martin Vetterli