Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
InstructorMike X Cohen
Free
FreeThe course provides specific instructions and code files for MATLAB, Python, and Octave-online, allowing learners to adapt techniques to their preferred environment.
Multiple sections conclude with code challenges to apply methods like denoising, filtering, and feature detection to practical datasets.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This split-screen comparison shows parallel implementations of signal processing algorithms in MATLAB and Python, including windowing logic and frequency analysis.
This image displays a webpage section titled 'Courses taught by Mike X Cohen,' featuring a grid of course cards with titles such as 'Storytelling with data' and 'Master MATLAB through Guided Problem Solving.'
One signal suggests that specific topics, such as wavelet analysis or frequency-domain fundamentals like the Nyquist frequency, could benefit from more extensive discussion. Note that this review predates the displayed update date and an update label does not prove a correction has been made.
The curriculum aligns well with the stated goals of programming-focused signal processing for students and researchers.