Explore MATLAB source code curated for "复杂度" with clean implementations, documentation, and examples.
Kalman filter is applied to speech enhancement algorithms with relatively high computational complexity, making it suitable for processing non-stationary signals. Implementation typically involves state-space modeling and recursive prediction-correction steps.
This custom-developed code performs feature extraction from infrared images, implementing seven key characteristics including aspect ratio, complexity, compactness, mean ratio, and invariant moments, providing robust preprocessing for subsequent recognition tasks
A simple and effective alternative method for measure entropy - the approximate entropy approach. This method was applied to analyze the complexity of Logistic maps. Results demonstrate that Lyapunov exponents and measure entropy values show approximately linear relationships with complexity, while the functional relationship between fractal dimension and complexity remains difficult to determine, with unclear connections to Lyapunov exponents and measure entropy. The implementation involves calculating pattern repetitions in time series data with tolerance thresholds.