Implementation for Calculating SNR of MRI Signal with Algorithm Details
Implementation methodology to compute Signal-to-Noise Ratio (SNR) for MRI signals using advanced signal processing algorithms and noise analysis techniques
Objective Assessment of Synthetic Speech Quality
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.
Performance Analysis of STBC in MIMO-OFDM Systems
Testing the impact of Space-Time Block Coding (STBC) on system performance in MIMO-OFDM systems, demonstrating the relationship between Signal-to-Noise Ratio (SNR) and Bit Error Rate (BER) through graphical analysis with code implementation details.
Line Detection Implementation Using Hough Transform
Implementation of line detection via Hough transform constructs a target line segment with 2 signal-to-noise ratio and 34-pixel length in Gaussian-distributed noise background; after identifying the line equation, a fixed-length sliding window approach determines segment endpoints to precisely locate the line segment position. Algorithm includes Hough voting mechanism and peak detection for parameter space analysis.
Convolutional Encoding and Viterbi Decoding Implementation
Implementation of convolutional code encoding with Viterbi algorithm decoding, including generation of SNR vs BER performance curves with code implementation details.
Signal-to-Noise Ratio Characteristic Analysis
Comprehensive SNR analysis of linear frequency modulated signals, nonlinear frequency modulated signals, continuous wave signals, frequency-coded signals, and phase-coded signals, with shared practical MATLAB implementations including key signal generation algorithms and SNR calculation methodologies
Detection Probability vs. False Alarm Probability Curves Under Different Signal-to-Noise Ratio Conditions
Variation curves of detection probability versus false alarm probability under different signal-to-noise ratio (SNR) conditions in cognitive radio networks, with implementation insights for spectrum sensing algorithms.
Sea Clutter Cyclic Cancellation
MATLAB source code implementing clutter simulation and cyclic cancellation method for clutter suppression, including target echoes under different signal-to-noise ratios and least squares-based filter implementation
Radar Signal Detection Using Swerling Target Models with Performance Simulation
Simulate detection performance across varying SNR levels by generating different target model data under false alarm probability constraints. The radar system employs square law detection followed by non-coherent integration of 10 pulses. Implementation includes generating Swerling 0-IV type target signals with additive white Gaussian noise. Monte Carlo simulations (≥10^5 iterations) are performed for SNR ranging from -10dB to 10dB in 1dB steps, with false alarm probability fixed at 10^-6. Detection probability (Pd) vs SNR curves are plotted to analyze system performance.
Various Parameters in Image Fusion
A comprehensive guide to key evaluation parameters and metrics used in image fusion algorithms with code implementation insights