Signal Processing Guide

This guide explains signal processing, also known as digital signal processing (DSP), as the series of processes required to convert real-world analog measurements like temperature, voltage, and vibration into digital formats for analysis. It covers types of signal processing (analog, digital, real-time), key techniques (filtering, compression, modulation, demodulation), applications across industries, and essential tools such as MATLAB, Python, and data loggers.