Explore MATLAB source code curated for "计算复杂度" with clean implementations, documentation, and examples.
Low-complexity MMSE-based turbo equalization algorithm that reduces computational complexity while maintaining interference cancellation performance through iterative symbol detection and interference estimation.
Image denoising with 1D wavelet transform offers lower computational complexity, improved efficiency and faster processing speed through optimized algorithm implementation.
Implementation of Fourier Transform in polar coordinates using MATLAB, processing n×n 2D signals with computational complexity equivalent to Cartesian 2D-FFT, widely applicable in image processing and analysis with efficient spectral feature extraction capabilities.
This code implements covariance tracking for visual object tracking research, which integrates multiple spatiotemporal features into a unified model. The approach demonstrates strong robustness in visual tracking applications and maintains computational efficiency since its dimensionality equals the number of features used rather than their individual dimensions, resulting in lower complexity and better real-time performance.
This MATLAB code implements computational complexity calculation using the LZ algorithm, providing a helpful resource for researchers and developers working with algorithmic analysis.
Voice activity endpoint detection program utilizing energy thresholding with low computational complexity, suitable for real-time voice processing applications.
Comparative Analysis of LMS (Least Mean Square) and RLS (Recursive Least Squares) Algorithms for Adaptive Filtering Applications
Exploring approaches to tackle NP-hard problems through constructive heuristic algorithms with implementation insights