A pipelined adaptive differential vector quantizer for low-power speech coding applications

A fine-grain pipelined adaptive differential vector quantizer architecture is proposed for low-power speech coding applications. The pipelined architecture is developed by employing the relaxed look-ahead torque. The hardware overhead due to pipelining is only the pipelining latches. Simulations with speech sampled at 8 KHz show that, for a vector dimension of 8, the degradation in the signal-to-noise ratio (SNR) due to pipelining is negligible. This degradation is independent of the level of pipelining. The proposed architecture is attractive from an integrated circuit implementation point of view