An FIR cascade structure for adaptive linear prediction

An FIR cascade structure for adaptive linear prediction

An alternative structure for adaptive linear prediction is proposed in which the adaptive filter is replaced by a cascade of independently adapting, low-order stages, and the prediction is generated by means of successive refinements. When the adaptation algorithm for the stages is LMS, the associated short filters are less affected by eigenvalue spread and mode coupling problems and display a ...

Cascade learning for FIR-TDNNs

Linear models for structure prediction

A Multiplierless Structure for Maximally Flat Linear Phase FIR Filters

A novel multiplierless structure for maximally flat linear phase FIR digital filters is proposed. The structure is based on a recursive evaluation technique for Bernstein polynomials. It consists of identical multiplierless building blocks connected in a regular fashion.

An adaptive genetic algorithm for crystal structure prediction.

We present a genetic algorithm (GA) for structural search that combines the speed of structure exploration by classical potentials with the accuracy of density functional theory (DFT) calculations in an adaptive and iterative way. This strategy increases the efficiency of the DFT-based GA by several orders of magnitude. This gain allows a considerable increase in the size and complexity of syst...