Machine Learning and Adaptive Signal Processing

                                                      Principle Investigator: Eric Wan

 Eric Wan

Algorithms and architectures for machine learning, adaptive and nonlinear signal processing. Applications to autonomous control, noise cancellation, time series prediction, and speech processing.  Example projects:



Dual EKF
Prediction and Estimation
Sigma-Point Kalman Filters
for Machine Learning
Noise Regularized
Adaptive Filtering

FIR Neural Networks and
Time Series Prediction
Active Noise Control
(Adjoint LMS)
Committee Networks:
Fossils and Sunspots

Speech
Enhancement
Autonomous
Neural Control
Flowgraph Approach
to Gradient Derivations