 Noise-predictive maximum-likelihood detection

Noise-predictive maximum-likelihood (NPML) detection is a method used primarily in signal processing and communications to improve the performance of detection algorithms in the presence of noise. It builds on the principles of maximum likelihood estimation (MLE) while taking into account the characteristics of the noise affecting signals. ### Key Concepts: 1. **Maximum Likelihood Detection**: This is a statistical method used to estimate the parameters of a model.