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Other Configurations for Adaptive Inverse Control

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This chapter contains sections titled:
The Filtered-X LMS Algorithm
The Filtered- LMS Algorithm
Analysis of Stability, Rate of Convergence, and Noise in the Weights for the Filtered- LMS Algorithm
Simulation of an Adaptive Inverse Control System Based on the Filtered- LMS Algorithm
Evaluation and Simulation of the Filtered-X LMS Algorithm
A Practical Example: Adaptive Inverse Control for Noise-Canceling Earphones
An Example of Filtered-X Inverse Control of a Minimum-Phase Plant
Some Problems in Doing Inverse Control with the Filtered-X LMS Algorithm
Inverse Control with the Filtered-X Algorithm Based on DCT/LMS
Inverse Control with the Filtered- Algorithm Based on DCT/LMS