Simulation of FRFT in OFDM Systems and Investigation of Optimal Rotation Angles
Simulation of FRFT Implementation in OFDM Systems and Exploration of Optimal Fractional Fourier Transform Angles with Performance Analysis
Explore MATLAB source code curated for "FRFT" with clean implementations, documentation, and examples.
Simulation of FRFT Implementation in OFDM Systems and Exploration of Optimal Fractional Fourier Transform Angles with Performance Analysis
Two MATLAB programs are provided: one implements the Fractional Fourier Transform (FRFT) algorithm, while the other applies FRFT for linear frequency modulation (LFM) signal detection. The core algorithm performs fractional Fourier transforms with varying orders (different fractional domains) on observed signals, creating a 2D energy distribution in the time-frequency plane. By conducting threshold-based 2D peak search on this distribution, the method detects LFM signals and estimates their parameters through峰值 analysis and parameter extraction techniques.
Signal Decomposition-Based Fractional Fourier Transform Function enables FRFT implementation for linear frequency modulated signals with optimized computational efficiency
This article explains the process of acquiring data using FRFT (Fractional Fourier Transform) technology, which serves as a fundamental mathematical tool for signal processing and imaging applications. We'll explore its implementation principles, potential algorithm structures, and practical applications in technical domains.
Comprehensive Fractional Fourier Transform code collection with practical applications
Testing MATLAB Code Implementation for Fractional Fourier Transform (FRFT)