Explore MATLAB source code curated for "平均值" with clean implementations, documentation, and examples.
Gaussian fitting program utilizing Gaussian functions to fit data, extracting mean and variance parameters of the fitted Gaussian distribution, with implementation details for MATLAB's curve fitting toolbox and custom optimization approaches.
This program utilizes singular value decomposition (SVD) to compress and decompose 3-channel color images through the following technical steps: Compression Process: 1. Select sub-image size K to decompose the image into M×M sub-images (IMG(s), s=1,2,...,M², where M=N/K, original image size N×N). 2. Calculate average of M² sub-images and subtract mean from each sub-image. 3. Compute correlation matrix R with elements defined by covariance relationships. 4. Calculate eigenvalues/eigenvectors of R, then obtain compressed encoding via dot products between sub-images and principal eigenvectors. Implementation features eigenvalue-based dimension reduction for efficient color channel processing.
Computations of Centered Fourier Spectrum, Frequency Spectrum, and Image Mean Value with Implementation Details
Extraction of texture image features including mean value, standard deviation, smoothness, third moment, uniformity, and entropy, with code implementation approaches.
Objective evaluation methods for synthetic speech quality, encompassing metrics such as Signal-to-Noise Ratio (SNR), Cepstral Distance, and Mean Value, implemented using MATLAB programs with detailed algorithmic explanations.