Explore MATLAB source code curated for "特征值" with clean implementations, documentation, and examples.
Perform singular value decomposition on the covariance matrix of arbitrary array output data to obtain eigenvalues and eigenvectors, then construct a spatial spectrum function utilizing the orthogonality between signal subspace and noise subspace with MATLAB implementation
MATLAB implementations of power iteration and inverse iteration methods for calculating eigenvalues and eigenvectors, along with the MINRES algorithm for matrix computations
Extracting Gray-Level Co-occurrence Matrix (GLCM) from images and calculating the 14 feature values proposed by Haralick, including texture analysis metrics for image characterization.
Independent Component Analysis algorithm for reducing noise in raw data and extracting feature components - a highly useful data denoising program with practical code implementation.
The Shannon Energy Algorithm is employed to extract envelopes from heart sound signals. Additionally, a training program is provided for signal processing, primarily focused on feature extraction to enable signal classification and recognition through machine learning techniques.
Implementing Gabor transform using MATLAB to extract image eigenvalues, featuring code implementation details and texture feature analysis
An application example of fingerprint recognition that utilizes a database to store fingerprint feature values and compares input fingerprint features with the database entries to find approximate matches using vector similarity algorithms.
Dimensionality reduction using PCA algorithm to extract principal eigenvalues and reduce data dimensions, with MATLAB code implementation details.
Extracting feature values from electromyography (EMG) signals for artificial neural network classification, including implementation approaches for time-domain, frequency-domain, and wavelet transform features
AIC and MDL Algorithms: Evaluating Eigenvalues with Implementation Insights