Algorithmic design of perfectly reconstructing equalisers
International Journal of Systems, Control and Communications
A hierarchical Bayesian model for frame representation
IEEE Transactions on Signal Processing
| Hi-index | 754.84 |
Estimation problems with bounded, uniformly distributed noise arise naturally in reconstruction problems from over complete linear expansions with subtractive dithered quantization. We present a simple recursive algorithm for such bounded-noise estimation problems. The mean-square error (MSE) of the algorithm is “almost” O(1/n 2), where n is the number of samples. This rate is faster than the O(1/n) MSE obtained by standard recursive least squares estimation and is optimal to within a constant factor