Envelope Demodulation Algorithm

This algorithm provides two different approaches for envelope demodulation. First, we introduce the initial method which involves applying Hilbert transform to the signal followed by Fast Fourier Transform (FFT) analysis. This technique effectively extracts the envelope information by creating an analytic signal through the Hilbert transform, where the magnitude of the resulting complex signal represents the envelope. The FFT operation then reveals the frequency components of this envelope. Second, we examine the alternative approach where the signal is squared before passing through a low-pass filter (LPF) and subsequently undergoing FFT analysis. This method enhances envelope characteristics by exploiting the fact that squaring the signal emphasizes amplitude variations, while the LPF removes high-frequency components to isolate the envelope. The FFT processing then provides spectral analysis of the demodulated envelope. By implementing both algorithms, researchers can comprehensively analyze and extract envelope information from signals using complementary techniques.