MSE Performance Comparison of OFDM Channel Estimation
Comparison of MSE performance in OFDM channel estimation, detailing simulation performance evaluations of several classical algorithms with implementation insights
Encoding and Decoding of Convolutional Codes with Viterbi Algorithm
Implementation of convolutional code encoding and decoding using Viterbi algorithm, including performance comparison between coded and uncoded systems with code implementation insights.
Performance Comparison of Cooperative Detection Algorithms in Cognitive Radio Networks
Comparative Analysis of Multiple Cooperative Detection Algorithm Performances in Cognitive Radio Networks with Implementation Insights
Performance Comparison of Various Interference Suppression Algorithms
Application Context: In LTE communications, MIMO-OFDM technology effectively addresses intra-cell user interference but introduces more severe inter-cell interference. Inter-cell interference significantly limits system capacity and degrades service quality for edge users, making interference mitigation a critical research focus. Technical Approach: This program simulates the performance of multiple MIMO-based interference suppression algorithms including Interference Rejection Combining (IRC), Maximum Ratio Combining (MRC), Zero-Forcing (ZF), and Minimum Mean Square Error (MMSE). The implementation generates Bit Error Rate (BER) curves for straightforward algorithmic performance comparison, with code structuring that allows modular evaluation of each technique's interference cancellation capabilities.
MIMO Precoding: Performance Comparison of Linear ZF and MMSE Algorithms
Comprehensive performance analysis of MIMO precoding techniques with focus on linear Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) algorithms, including mathematical formulations and implementation considerations.
Performance Comparison of Several Quasi-Orthogonal Space-Time Block Codes with Implementation Analysis
Debugged code for performance comparison of multiple quasi-orthogonal space-time block codes, including algorithm implementation and key function descriptions
Performance Comparison of LMS and NLMS Algorithms
LMS_Identify.m implements a performance comparison between the LMS (Least Mean Squares) and NLMS (Normalized Least Mean Squares) adaptive filtering algorithms, including convergence analysis and MSE evaluation.
Performance Comparison Between M-Sequences and Gold Sequences
MATLAB program for performance comparison of M-sequences and Gold sequences, featuring sequence generation, correlation analysis, and visualization of results.
Cooperative Diversity in MATLAB and Performance Comparison of Various Schemes
Implementation and Performance Analysis of Cooperative Diversity Techniques in MATLAB
Performance Comparison of KCM and FCM Clustering for Image Segmentation
Comparative analysis of K-means clustering (KCM) and fuzzy c-means (FCM) algorithms for image segmentation with code implementation insights