Low-power adaptive filter architectures via strength reduction

Low-power and high-speed algorithms and architectures for complex adaptive filters are presented in this paper. These architectures have been derived via the application of algebraic and algorithm transformations. The strength reduction transformation when applied at the algorithmic level results in a power reduction by 21% as compared to the traditional cross-coupled structure. A fine-grain pipelined architecture is then developed via the relaxed look-ahead transformation. The pipelined architecture allows high-speed operation with minimum overhead and when combined with power-supply reduction enables additional power-savings of 40-69%. Thus, an overall power-saving of 60-90% over the traditional cross-coupled architecture is achieved.