Generation of Stepped-Frequency Continuous Wave and Pulse Waveforms
Generation of stepped-frequency continuous wave and pulse waveforms along with their corresponding frequency spectra
Explore MATLAB source code curated for "频谱" with clean implementations, documentation, and examples.
Generation of stepped-frequency continuous wave and pulse waveforms along with their corresponding frequency spectra
Importing data from Excel spreadsheets, then analyzing frequency spectrum, phase spectrum, and total harmonic distortion (THD) with visualization plots using MATLAB.
Generating Weibull-distributed clutter signals in time-domain waveform, amplitude spectrum, and frequency spectrum with MATLAB implementation guidance
The Non-Uniform Fourier Transform extends the traditional Fourier Transform, particularly suitable for processing non-uniformly sampled data or computing spectra at arbitrary frequencies. This implementation typically employs algorithms like the NUFFT (Non-Uniform Fast Fourier Transform) which uses interpolation techniques to map non-uniform data points to a uniform grid for efficient computation.
A self-developed digital equalizer implemented in MATLAB GUIDE environment. Supports playback of WAV audio files with 8-band equalizer adjustment, displaying original waveforms, frequency spectra, and processed waveforms/spectra. The compressed package includes 3 reference program reports for comparative study and implementation guidance.
MATLAB implementation for cognitive radio spectrum sensing using energy detection and cyclostationary detection algorithms. The cyclostationary detection process involves: first executing a.m to compute the cyclic frequency alpha value, then running zhouqi.m to validate the alpha value and perform signal detection using cyclostationary algorithms. For energy detection: execute nengliang.m to detect signals using energy-based methods. After detection, comprehensive performance analysis is conducted to evaluate detection accuracy and reliability.
Implementation and simulation analysis of multiple spectrum detection algorithms based on parametric and non-parametric approaches, including performance evaluation and practical applications.
Source code for linear chirp signal spectrum analysis and matched filtering techniques with comprehensive signal processing theory explanations
Implementation of EEG spectrum and power spectrum calculation with visualization. Core methodologies include wavelet transform, wavelet coefficient reconstruction, and computation of power spectra across frequency bands, with code-level explanations of signal processing algorithms.
A MATLAB GUI-implemented audio player featuring spectrum visualization, real-time frequency equalization, playback progress dragging, and synchronized lyrics display capabilities