Three-Phase Signal Construction with Instantaneous Reactive Power Decomposition and DQ Transformation
Generation of fictitious three-phase signals followed by instantaneous reactive power decomposition and DQ coordinate transformation analysis
Explore MATLAB source code curated for "信号" with clean implementations, documentation, and examples.
Generation of fictitious three-phase signals followed by instantaneous reactive power decomposition and DQ coordinate transformation analysis
Implementation of a half-band filter with 2x interpolation for efficient signal filtering and rate conversion
Mirror extension of signal endpoints can be used to eliminate edge effects caused by Hilbert transform. This technique involves replicating signal segments symmetrically at both ends to create seamless transitions for improved spectral analysis.
A simulation program implementing ESPRIT algorithm for Direction of Arrival (DOA) estimation in uniform linear array configurations, featuring signal modeling, sampling, algorithm implementation, and performance evaluation.
wave: wavelet packet decomposition method for signal processing, decomposing signals into frequency components and estimating wavelet packet energy, with MATLAB implementation approaches
A rapid algorithm for adaptive chirplet decomposition, addressing the challenges of numerous unknown parameters and implementation difficulties. This algorithm computes the quadratic phase function of signals to determine energy concentration along chirp rate curves, enabling simultaneous estimation of chirplet parameters (chirp rate, time center, and amplitude) via spectral peak detection. Initial frequency and bandwidth estimates are obtained through de-chirping techniques. The effectiveness of this method is validated through simulation results.
OFDM signal frequency offset correction algorithm for estimating subcarrier frequency deviations with implementation techniques.
Implementation of one-dimensional noise removal using MATLAB's Wavelet Packet Toolbox to analyze signals and reconstruct original signals through wavelet packet decomposition and reconstruction algorithms
GPS signal simulation including signal generation, acquisition simulation, and related components with code 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