Explore MATLAB source code curated for "计算" with clean implementations, documentation, and examples.
Essential for GPS positioning accuracy, this MATLAB-based program calculates satellite orbital coordinates through real-time monitoring and orbital position updates, incorporating algorithms for coordinate transformation and ephemeris data processing.
This MATLAB code implements a comprehensive image analysis suite for calculating edge strength, information entropy, grayscale mean, standard deviation (mean square error MSE), root mean square error, peak signal-to-noise ratio (PSNR), spatial frequency (SF), image sharpness, mutual information (MI), structural similarity (SSIM), cross entropy, and relative standard deviation. The toolkit includes advanced image processing capabilities such as gradient computation, color histogram analysis, contrast measurement, and smoothness evaluation.
MATLAB-implemented finite element program for crack propagation computation with extended finite element method (XFEM) capabilities
MATLAB simulation program for radar equation calculations, primarily designed to compute radar detection range, transmit power, echo power, and other critical parameters with detailed code implementation.
Implementing phase difference measurement between two sinusoidal signals with Goertzel's efficient frequency-domain algorithm
Develop a multipath channel simulation in MATLAB to analyze communication performance by calculating bit error rate (BER) through signal transmission modeling.
gongzhenQ.m: Computes the input-output SNR (Signal-to-Noise Ratio) gain for bistable stochastic resonance systems, demonstrating pronounced stochastic resonance phenomena through quantitative analysis and parameter modulation.
A MATLAB-implemented image multifractal analysis program that directly computes multifractal spectrum with box-counting algorithm implementation
Calculate cyclic spectrum for spread spectrum signals - includes implementation details for cyclic correlation algorithms, available for download with MATLAB/Python code examples
Implement small-data methods to compute maximum Lyapunov exponents from chaotic time series with enhanced algorithmic descriptions