Exploring the Impact of Noise on Signal Detection Algorithms
The article examines the impact of noise on signal detection algorithms, highlighting...
Estimation Theory in Compressed Sensing
Estimation Theory in Compressed Sensing is a mathematical framework that focuses on...
The Influence of Model Uncertainty on Estimation Accuracy
Model uncertainty significantly impacts estimation accuracy by introducing variability and potential bias...
Advanced Signal Processing Techniques for Underwater Acoustics.
Advanced signal processing techniques for underwater acoustics encompass methods such as matched...
Estimation Techniques for MIMO Systems
Estimation techniques for MIMO (Multiple Input Multiple Output) systems are essential for...
The Use of Monte Carlo Methods in Estimation Theory
Monte Carlo Methods are computational algorithms that utilize random sampling to estimate...
Estimation in the Presence of Colored Noise
Estimation in the presence of colored noise involves determining signal parameters while...
Cramer-Rao Lower Bound in Signal Estimation
The Cramer-Rao Lower Bound (CRLB) is a fundamental concept in signal estimation...
A Comparative Study of Linear and Non-Linear Signal Processing Methods
The article provides a comparative study of linear and non-linear signal processing...
Estimating Time-Frequency Representations of Signals
Time-frequency representations (TFRs) of signals are essential mathematical tools that analyze non-stationary...