MATLAB Implementation of Envelope Detection Algorithm

This MATLAB implementation demonstrates a complete envelope detection algorithm. The algorithm begins with signal modulation, typically implemented by multiplying the input signal with a carrier wave using MATLAB's element-wise multiplication operator (.*). This modulation process shifts the signal's frequency content or modifies its amplitude characteristics. Following modulation, the envelope detection phase extracts the signal's amplitude envelope. In MATLAB, this is commonly achieved using: - The Hilbert transform (hilbert function) to obtain the analytical signal - Calculating the absolute value (abs function) of the analytical signal - Optional low-pass filtering (filter or designfilt functions) to smooth the envelope The envelope detection algorithm enables extraction of the amplitude envelope information, facilitating better analysis and understanding of signal characteristics. By obtaining the envelope curve, researchers can more easily analyze signal trends and amplitude variations. This algorithm plays a crucial role in signal processing applications, helping engineers and researchers better understand and utilize signal information for various applications including amplitude demodulation, fault detection, and signal analysis. The implementation typically involves MATLAB's signal processing toolbox functions for efficient computation and visualization of results.