Discrete Polynomial Transform for Linear Frequency Modulated Signal Analysis

This resource presents literature and MATLAB programs focusing on discrete polynomial transforms for analyzing linear frequency modulated (LFM) signals. The discrete polynomial transform serves as a fundamental signal processing technique specifically designed for parsing and processing chirp signals. Through studying the accompanying literature and implementing the provided MATLAB code, users can gain deep insights into the underlying principles and practical applications of discrete polynomial transforms. The MATLAB implementation typically involves key functions for polynomial coefficient calculation, signal transformation algorithms, and chirp parameter estimation routines. This knowledge will significantly enhance the application of this technology in signal processing domains, thereby improving research efficiency and practical implementation capabilities. The code structure generally includes modules for signal preprocessing, transform computation, and result visualization using MATLAB's signal processing toolbox functions.