Classic MUSIC Algorithm Implementation and Analysis
Classic MUSIC algorithm program with simulation graphics output, complete with source code for calculating root mean square error (RMSE) of the algorithm
Explore MATLAB source code curated for "均方根误差" with clean implementations, documentation, and examples.
Classic MUSIC algorithm program with simulation graphics output, complete with source code for calculating root mean square error (RMSE) of the algorithm
Evaluating azimuth estimation performance across varying SNR levels using a uniform circular array; implementing spectral peak search algorithm to locate maximum value coordinates; calculating root mean square error through 100 Monte Carlo trials with code implementation insights
This experiment requires developing a program to calculate root mean square error (RMSE) and peak signal-to-noise ratio (PSNR) for compressed-decompressed images. The program serves as a universal solution that generates visualized results while utilizing fidelity criteria algorithms to quantify visual information loss characteristics.
Comparative analysis of RMS error for tripole and dipole antennas at elevation angles of 60° and 90°, with polarization parameters set to 60° and 90°, including code implementation details for error calculation algorithms
Performance analysis of uniform circular array MUSIC algorithm for signal elevation angle estimation under different SNR conditions, evaluated using root mean square error; implementation utilizes spectral peak search to locate maximum value coordinates with code demonstrations of signal processing workflow.
Implementation and Analysis of the Classic MUSIC Algorithm for Direction of Arrival Estimation