Explore MATLAB source code curated for "频率" with clean implementations, documentation, and examples.
A time domain identification approach for experimental modal analysis that extracts modal parameters including natural frequencies, damping ratios, and mode shape coefficients from signal data.
Multi-frequency testing program utilizing all-phase FFT (apFFT) with time-shift phase difference method, containing 5 built-in frequency components. This implementation provides highly accurate amplitude, frequency, and phase estimation with excellent simulation precision. The algorithm employs advanced windowing techniques and phase correction mechanisms to minimize spectral leakage and improve measurement accuracy.
MATLAB implementation for detecting weak signal frequencies using Duffing oscillator system, capable of identifying signals within 0.03 frequency deviation from periodic driving force with -68dB SNR tolerance
Performing boundary extraction on binary images to generate 8-directional chain codes, with implementation capabilities for calculating frequency statistics of chain code elements
Application Background: This code analyzes speaker frequency characteristics using digital signal processing techniques for recording and playing back captured audio. The system processes and stores voice data for specific user identification. Key Technology: The implementation utilizes Fourier Transform algorithms to convert signals from time domain to frequency domain, along with discrete sampling of analog signals for precise audio analysis.
Implementation of carrier synchronization using Costas loop with transmitter carrier frequency at 3.563 MHz and local initial frequency at 3.5628 MHz. The loop filter parameters C1 and C2 are directly provided in the program for immediate implementation. The algorithm employs phase detection and feedback control to achieve frequency alignment through iterative correction.
Image Butterworth Notch Filter implements frequency-selective filtering to eliminate specific interference patterns in images using Butterworth notch design principles
Implementing Prony's method to extract harmonic amplitude, frequency, and phase from arbitrary discrete signals, along with DC component characteristics
Joint estimation of signal azimuth angle and frequency using planar arrays implemented with the MUSIC algorithm
Hanning window FFT interpolation algorithm for calculating harmonic amplitude, frequency, and phase, requiring input parameters of sampling frequency and FFT length. This method improves spectral leakage reduction and provides accurate harmonic parameter estimation through windowing and interpolation techniques.