Improved normalised subband adaptive filter

PROJECT TITLE :

Improved normalised subband adaptive filter

ABSTRACT:

Proposed is a subband adaptive filter, which is derived by minimising the sum of the squared Euclidean norms of the differences between the updated tap-weight vector and past tap-weight vectors subject to a set of constraints on the updated tap-weight vector of the adaptive filter. Simulation results show that the misalignment of the proposed subband adaptive filter is low in a relatively high background noise environment.

• Fast split background calibration for pipelined ADCs enabled by slope mismatch averaging technique
• Monotonic and low-power digitally controlled oscillator with portability for SoC applications