Explore MATLAB source code curated for "功率谱" with clean implementations, documentation, and examples.
This MATLAB program analyzes BPSK modulated signals by computing single-sided spectrum, squared spectrum, quartic spectrum, and power spectrum. It demonstrates discrete spectral components in the squared spectrum, enabling successful carrier frequency estimation at 0dB signal-to-noise ratio.
1. Rayleigh_Doppler_singlePath.m generates single-path Rayleigh fading using 6 different methods with comparative analysis, recommending Method 6 as optimal; includes power spectrum output code. 2. Rayleigh_Doppler_multiPath.m produces frequency-selective fading based on multiple paths' delays and intensities; both programs provide power spectrum visualization capabilities for channel characterization.
MATLAB implementation of wavelet packet transform power spectrum analysis, offering higher resolution than conventional wavelet transforms, with detailed code structure and algorithm explanation.
Power spectrum calculation following AR model parameter determination using the Levinson-Durbin algorithm
This simulation program performs QPSK modulation on a binary information sequence, generates waveform diagrams and power spectral density plots, transmits the signal through a wireless AWGN channel, demodulates it at the receiver, and finally plots the symbol error rate performance curve to evaluate system performance.
Power Spectrum Analysis of Frequency Shift Keying (FSK), Minimum Shift Keying (MSK), and Phase Shift Keying (PSK) Modulation Schemes
A comprehensive MATLAB simulation program comparing BPSK modulation for GPS signals with BOC signal power spectral density analysis, featuring side-by-side visualization and parameter adjustment capabilities for enhanced learning
Implementation of SVD-TLS Algorithm for Parameter Estimation: This paper employs the SVD-TLS algorithm to estimate the power spectrum of observed signals through three key computational steps: (1) Compute SVD of the sample correlation function matrix R and store singular values with matrix V, (2) Determine the effective rank of R using normalized singular value method, (3) Estimate parameters via Total Least Squares approach.
This program reconstructs low-frequency and high-frequency coefficients at each decomposition level, plots the power spectrum with frequency on the x-axis and power on the y-axis, and visualizes the four-level wavelet packet decomposition tree structure in the final step.
MATLAB power spectrum analysis with significance testing capabilities, featuring a program that performs brief estimation of autocorrelation processes for time series data, including implementation details using built-in functions like pwelch and xcorr.