Explore MATLAB source code curated for "标准差" with clean implementations, documentation, and examples.
This experimental program computes various parameters of vibration signals, implementing key statistical and signal processing calculations including mean value, standard deviation, variance, skewness, kurtosis, peak-to-peak value, root mean square amplitude, average amplitude, peak value, waveform factor, crest factor, impulse factor, and margin indicator using efficient numerical algorithms.
Comprehensive Signal Feature Extraction Using 16 Statistical Metrics: Mean, Standard Deviation, Variance, Skewness, Kurtosis, Peak-to-Peak, Peak Value, RMS Amplitude, Average Amplitude, Root Amplitude, Waveform Factor, and Crest Factor with Code Implementation Insights
MATLAB implementation for calculating standard deviation and information entropy metrics to evaluate image fusion quality, featuring comprehensive code descriptions and algorithm explanations.
Image sharpness evaluation using standard deviation, spatial frequency threshold, entropy, and Brenner's measure with MATLAB code implementation
Extraction of texture image features including mean value, standard deviation, smoothness, third moment, uniformity, and entropy, with code implementation approaches.
Implementation of statistical theory to compute descriptive statistics including mean, standard deviation, skewness, and kurtosis with code-based methodology explanations