MATLAB-Based Function Normalization for Zero Mean and Unit Variance
MATLAB implementation for function normalization to achieve zero mean and unit variance, enabling standardized data preprocessing for comparative analysis.
MATLAB Simulation of Normalized Adaptive LMS Algorithm
MATLAB simulation of the normalized adaptive LMS algorithm with code implementation details and theoretical background
Fault Feature Vector Extraction and Normalization Using Wavelet Packets
Implementation of fault feature vector extraction and normalization using wavelet packets - practical approach with partial program code from research paper
2D Normalized Cross-Correlation for Pattern Matching and Target Tracking
This program demonstrates the application of 2D normalized cross-correlation for pattern matching and target tracking. Users are prompted to select regions of interest (ROI) and specify the number of similar targets to track. The normalized cross-correlation heatmap indicates target detection when values exceed a predefined threshold. The implementation utilizes sliding-window correlation techniques with efficient matrix operations for real-time performance.
Signal Power Spectral Density Calculation
This program computes signal power spectral density with normalization applied to the spectrum, implementing Welch's method for estimation.
Fingerprint Image Preprocessing in Fingerprint Recognition Systems
Fingerprint image preprocessing procedures in fingerprint recognition, including normalization, binarization, image segmentation, image enhancement, and image visualization with algorithmic implementations
DCT Image Compression Algorithm
DCT Image Compression Algorithm workflow: 1. Image normalization 2. Display coefficient image 3. Image reconstruction and display 4. Error image visualization 5. Mean square error calculation for normalized images. Code implementation includes pixel value mapping, DCT/IDCT transformations, and quality assessment metrics.
Feature Extraction Using Principal Components in PCA Analysis
Normalization of raw data followed by PCA dimensionality reduction using principal components as features for fuzzy clustering analysis via the fuzzy c-means algorithm
Image Preprocessing: Normalization, Edge Detection, and Related MATLAB Code Implementations
A collection of compact MATLAB programs for image preprocessing tasks including normalization and edge detection techniques. These implementations utilize various algorithms and methods to enhance image processing workflows.
Iris Recognition Algorithm
Iris recognition algorithm, including localization, normalization, and encoding. A highly useful algorithm with detailed implementation approaches for each processing stage.