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Signal processing problems solved in MATLAB and in Python

Learners: 13,573

Instructor: Mike X Cohen

Duration:

Delve into the captivating world of digital signal processing (DSP) with the course "Signal Processing Problems Solved in MATLAB and in Python." Led by an experienced instructor, learners will unlock the secrets hidden within time series data through practical implementation of DSP techniques in MATLAB and Python. Gain valuable insights into denoising, simulating signals, and working with noisy data. With over 10,000 lines of code and sample datasets, this course offers a hands-on learning experience for students with some programming knowledge. Prepare to unravel the mysteries of nature and embark on a rewarding journey in signal processing.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2023-07-01

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 24th, 2023]

The "Signal Processing Problems Solved in MATLAB and in Python" course provides a comprehensive exploration of digital signal processing (DSP) techniques. Aspiring learners, with a background in programming, will discover the fascinating world of time series data analysis and the art of denoising signals. The course prioritizes hands-on implementation in MATLAB and Python, providing practical code samples and data sets for experimentation and adaptation. Participants will also gain proficiency in simulating signals and handling noisy data. While prior knowledge of the Fourier transform is beneficial, it is not mandatory for success in this course. With engaging instruction and ample learning resources, students will delve into the complexities of DSP and its real-world applications.