"Revealing the Hidden Frequencies : Exploring the Discrete Fourier Transform"
Revealing the Hidden Frequencies: Exploring the Discrete Fourier Transform (DFT) Author: Anita S Lokare Domain: Digital Signal Processing Mentors: Dr. Kiran TALELE & Dr. Reena Kumbhare Beginning the Journey into Frequencies Consider an audio clip that contains an important voice message but is corrupted by unwanted high-frequency noise. In the time domain, this interference appears as unpredictable spikes and irregular oscillations. Although distortion is visible, separating useful sound from noise becomes difficult. This blog explains how filtering affects both the time domain and the frequency domain by comparing an audio signal before and after filtering. Key Parameters Sampling Frequency = 44.1 kHz Filter Type = FIR Low Pass Filter Cutoff / Stopband Frequency = 6000 Hz Filter Order = 100 taps Passband Ripple = 1 dB Stopband Attenuation = 60 dB Statistical Interpretation High magnitude → strong frequency present Low magni...