MATLAB Implementation for FFT Analysis
FFT analysis program that performs harmonic analysis on input signals, extracting frequency and amplitude information using Fast Fourier Transform algorithms.
FFT Analysis of Noisy Signals with MATLAB Implementation Approaches
Analyzing noisy signals using FFT in MATLAB with three main methods: direct FFT, time-domain synchronous averaging followed by FFT, and frequency-domain synchronous averaging followed by FFT, including code implementation considerations
FFT Analysis of Periodic Rectangular Pulses and Their Spectrum
This program calculates the bilateral spectrum of periodic rectangular pulses using Fast Fourier Transform (FFT) analysis. The implementation involves signal generation, windowing techniques, and spectral normalization for accurate frequency domain representation.
Analyzing Three-Year Trends of Double Color Ball Lottery Using FFT
A self-developed MATLAB program utilizing Fast Fourier Transform (FFT) to analyze three-year historical data of Double Color Ball lottery numbers. The current implementation is still experimental, with ongoing refinements to the algorithmic approach. Interested parties are welcome to collaborate on signal processing methodologies for lottery pattern recognition.
FFT Analysis of Signal Spectrum
Given a signal x(t), sampling it to obtain x(n), will spectral aliasing occur? This project uses FFT to analyze its spectrum. The implementation involves: 1. Programming to plot the signal waveform; 2. Performing FFT on x(n) with N=16 and plotting the magnitude-frequency characteristic curve; 3. Performing FFT on x(n) with N=1024 and plotting the magnitude-frequency characteristic curve; 4. Analyzing the results from steps 2 and 3. The design debug report requires: working principle summary, design approach, challenges and solutions, results analysis, and program code with operational steps.