Fast Fourier Transform Implementation in Chaotic Time Series Algorithm
Implementation of FFT in chaotic time series algorithms for calculating average period and power spectrum with detailed code description.
Explore MATLAB source code curated for "功率谱" with clean implementations, documentation, and examples.
Implementation of FFT in chaotic time series algorithms for calculating average period and power spectrum with detailed code description.
Implementation of ground clutter modeling through the range ring method with power spectrum simulation and analysis
Wavelet Packet Analysis: Extracting Energy Features and Power Spectrum with Signal Processing Techniques
Implementation of Minimum Shift Keying (MSK) modulation and demodulation, including signal waveform plots, power spectral density diagrams, and comparative visualizations of modulated signals.
Generate noise frequency modulation jamming signals and plot their time-domain characteristics and power spectrum using MATLAB implementation
This program plots the FFT spectrum and power spectrum of a simulated signal. It utilizes Empirical Mode Decomposition (EMD) to decompose the signal, visualizes the resulting intrinsic mode functions (IMFs), and computes instantaneous envelopes and frequencies. Additionally, it generates the Hilbert-Huang spectrum and Hilbert marginal spectrum for comprehensive time-frequency analysis.
Implementation of discrete Fourier transform (DFT) for calculating power spectrum of periodic signals, with detailed analysis of spectral amplitude characteristics using code-based approach.
Performing wavelet packet decomposition on signals and calculating power spectra for each component, including implementation approaches using MATLAB's Wavelet Toolbox functions like wpdec and pwelch for accurate spectral estimation.
A comprehensive QPSK modulation and demodulation simulation program featuring baseband input waveforms with power spectral density analysis, QPSK modulated signals and their spectral characteristics, AWGN channel outputs with spectral analysis, signal constellation diagrams before and after Rayleigh channel transmission, bit error rate performance under both AWGN and Rayleigh fading channel conditions with theoretical AWGN performance curves, all presented using consistent coordinate scaling for comparative analysis.
A comprehensive MATLAB application utilizing wavelet packet transform to extract feature vectors and frequency component power spectra from two signals, with detailed algorithm implementation and function descriptions