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Signal Processing - Student Guide | Prep4Uni.online

An introduction to how real-world signals (audio, images, sensor data) are represented, filtered, transformed, and interpreted. Covers core ideas such as sampling, noise removal, frequency analysis, and practical signal-processing workflows used in communications, control, biomedical sensing, and modern AI pipelines.

Keywords:: DSP, frequency domain, time domain, signal processing, Nyquist, sampling, convolution, spectral analysis, noise reduction, aliasing, filtering, Fourier transform

Disciplines:

Science and Technology / Communication Sciences and Disorders

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Material Type:: Reference Material
Date Added to MERLOT:: January 27, 2026
Date Modified in MERLOT:: January 27, 2026
Author:: Jacob Gan
Submitter:: Jacob Gan
Primary Audience:: High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:: Website

Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: Yes
Creative Commons:: This work is licensed under a Attribution 4.0 International