Simulation of OFDM Channel Estimation
OFDM channel estimation simulation with MSE and BER performance analysis plots, demonstrating digital signal processing techniques for wireless communication systems.
Computation of Mean Squared Error (MSE) using MATLAB
Implementation of MSE calculation in MATLAB with matrix element substitution and code optimization techniques
Calculation of MSE for Least Squares Algorithm, Minimum Mean Square Error Algorithm and Related Methods
Implementation of MSE calculation for least squares algorithm, minimum mean square error algorithm, and related approaches with MATLAB code examples
Various Image Fusion Performance Evaluation Parameters
Comprehensive set of image fusion performance evaluation metrics including D (Difference), MSE (Mean Squared Error), PSNR (Peak Signal-to-Noise Ratio), SF (Structural Similarity), RMSE (Root Mean Squared Error), NCD (Normalized Color Difference), REL (Relative Error), MI (Mutual Information), MAE (Mean Absolute Error), DREL (Dynamic Relative Error), EOG (Edge Orientation Gradient), CREF (Color Fidelity) with code implementation insights
Several Common Beamforming Criteria
Overview of common beamforming criteria including SNR, MSE, and LCMV approaches for signal+interference+noise environments, featuring null placement in interference directions with implementation considerations.
LS and MMSE Methods for Channel Estimation
Comparison of Two Channel Estimation Methods with MSE and SER Performance Analysis Including Code Implementation Insights
MATLAB Implementation for Image Processing: Calculating MSE, SNR, PSNR, and Image Quantization
Image Processing Features: Computing Mean Square Error (MSE), Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), and Generating Quantized Images with Algorithm Explanations and Key Function Descriptions
MATLAB Code Implementation for Beamforming
Beamforming implementation based on three criteria: Mean Square Error (MSE), Linearly Constrained Minimum Variance (LCMV), and Maximum Signal-to-Noise Ratio
Image Processing Applications for PSNR and MSE Metrics
Several MATLAB-based image processing utilities focusing on PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Squared Error) calculations, designed to assist researchers in image quality assessment and compression analysis.
Directory Containing Neighborhood Threshold-Based Wavelet Image Denoising
This directory contains programs for wavelet-based image denoising using neighborhood thresholding techniques. The main script wave_neighbor.m implements denoising for both 3×3 and 5×5 neighborhood configurations. The auxiliary function wov_win.m handles sliding window operations for 3×3 and 5×5 neighborhoods, while cacupsnr.m calculates performance metrics including Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR).