A modular analogue neuro-chip set with on-chip learning capability is developed for active noise canceling. The analogue neuro-chip set incorporates the error backpropagation learning rule for practical applications, and allows pin-to-pin interconnections for multi-chip boards. The developed neuro-board demonstrated active noise canceling without any digital signal processor. Multi-path fading ...

This paper addresses the problem of state duration modeling in combination with spectral subtraction and Rasta filtering to cancel both additive and convolutional noise in a text-dependent speaker verification task. The results presented in this paper suggest that temporal constraints can lead to reductions of 30 and 14% in the error rates at SNR equal to 0 and 6dB, respectively, without noise ...

iv interferer combinations that lead to in-band distortion in wideband receivers, resulting in challenging linearity requirements. At the start of this research project, the noise canceling technique was identified as a suitable candidate to implement wideband receiver frontends. In a preceding research project a number of noise canceling topologies were generated. One of these topologies, the ...

A broadband input matching technique for low noise amplifiers (LNAs) is presented which exploits an active feedback network to achieve better noise performance. The presented matching scheme is compared to the common-gate and conventional noise canceling structures. The noise performance of the presented technique is similar to that of the conventional noise canceling technique with much less p...

Most wide-band amplifiers suffer from a fundamental trade-off between noise figure NF and source impedance matching, which limits NF to values typically above 3dB. Recently, a feed-forward noise canceling technique has been proposed to break this trade-off. This paper reviews the principle of the technique and its key properties. Although the technique has been applied to wideband CMOS LNAs, it...

A noise canceling technique based on a model-based recursive processor is presented. Beginning with a canceling scheme using a reference source, it is shown how to obtain an estimate of the noise, which can then be incorporated in a recursive noise canceler. Once this is done, recursive detection and estimation schemes are developed. The approach is to model the nonstationary noise as an autore...