Publication

Abstract : Modern digital communication systems and signal processing applications often require real-time analysis of frequency components of signals. Traditional microcontrollerbased solutions for spectrum plotting often fail to meet the speed and parallel processing requirements for high-frequency signals due to limited computational capabilities. This project focuses on the design and simulation of a real-time FPGA based Frequency Spectrum Plotter that can be then used to program an FPGA board. The analyzer captures an input audio signal and then applies the Fast Fourier Transform (FFT) algorithm to convert the time-domain signals into their corresponding frequency-domain components along the various frequency bins. Low power consuming and efficient frequency spectrum plotters are immensely useful in analyzing the frequency domain of signals in the field of audio signal processing. FPGAs offer various features and advantages in terms of parallel processing, speed, and real-time performance, which makes it a preferable choice in terms of the technology used for spectrum analysis. The system displays the frequency components on an output device, providing a visual representation of the signal’s spectral content. The design is implemented in Verilog and simulated using the Model-Sim software. A python script is used to obtain the signal values and convert it to an 8×8 spectrum matrix which is the final output.