Explore MATLAB source code curated for "频谱分析" with clean implementations, documentation, and examples.
Comprehensive nonlinear vibration toolbox featuring detailed procedural guides, spectral analysis, Poincaré sections, bifurcation diagrams, and Lyapunov exponent calculations with algorithm explanations and MATLAB implementation approaches.
Performing spectral analysis on WAV files using MATLAB and generating spectrum plots with code implementation details
Implementation of an IIR digital notch filter operating at 6.4kHz sampling rate targeting notch frequencies at 50Hz, 150Hz, and 250Hz, using c1.mat as input data file, including comprehensive spectral analysis before and after filtering.
Performing spectral analysis for radar speed measurement primarily involves analyzing real-world signals to extract Doppler frequency, which enables calculation of vehicle velocity through signal processing algorithms.
Complex Modulation Zoom Spectrum Analysis Method Utilizing Complex Analytic Band-Pass Filtering for Selective Frequency Band Refinement
MATLAB-based implementation of chirp signal generation, spectral analysis, and simulation of ambiguity function and autocorrelation under specific radar parameters.
Performing spectral analysis on specific signals using MATLAB, plotting magnitude and phase spectra, including convolution operations and verification procedures
Performing spectral analysis on ADC sampled signals to compute critical parameters including Signal-to-Noise Ratio (SNR) and Effective Number of Bits (ENOB), with MATLAB/Python code implementation references
This documentation contains three MATLAB code segments demonstrating generation of Gaussian random signals, Gaussian white noise, and colored noise, along with numerical characteristic calculations, spectral analysis, power spectrum analysis, and basic low-pass filter design explanations.
Using MATLAB to generate and visualize linear frequency modulation signals in time-domain, performing spectral analysis, and investigating the impact of sampling frequency and signal-to-noise ratio on frequency spectrum characteristics.