信号估计 Resources

Showing items tagged with "信号估计"

Compressed sensing has broad applications in information technology and represents a cutting-edge discipline. Applying compressed sensing to DOA (Direction of Arrival) estimation introduces an innovative methodology, particularly effective for far-field narrowband signal estimation using microphone arrays. The implementation typically involves sparse signal reconstruction algorithms and optimization techniques to achieve accurate angular resolution with reduced sensor data requirements.

MATLAB 211 views Tagged

This project involves the design and implementation of a methodology for estimating dual frequencies in sinusoidal signals contaminated by additive white Gaussian noise. We derive the Cramér-Rao Lower Bound (CRLB) for the signal model and develop a nonlinear least squares frequency estimator. The implementation includes numerical validation through comprehensive simulations and performance analysis under various signal-to-noise ratio conditions.

MATLAB 244 views Tagged