Acoustic noise canceling methods are used to cancel out noise from a noise source. A frequently used algorithm is the filtered-X algorithm. This method uses an estimate of the acoustical path from secondary sound source to microphone. Because the secondary path can change due to movements or other circumstances it is desirable to track the secondary path online. In this paper several online mod...

Fully adaptive feedforward control algorithm is proposed for general multi-channel active noise control (ANC) when all the noise transmission channels are uncertain. To reduce the actual canceling error, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, which can result in the canceling at the objective poin...

This work gives a design perspective on low-power and wideband RF-to-Baseband current-reuse receivers (CRR). The proposed CRR architecture shares single supply biasing current among both LNTA baseband circuits to reduce power consumption. discusses topology selection suitable procedure of the low noise transconductance amplifier (LNTA), down-conversion passive-mixer, active-inductor (AI) TIA ci...

Previously reported wideband CMOS low-noise amplifiers (LNAs) have difficulty in achieving both wideband input impedance matching and low noise performance at low power consumption and low supply voltage. We present a transformer noise-canceling wideband CMOS LNA based on a common-gate topology. The transformer, composed of the input and shunt-peaking inductors, partly cancels the noise origina...

This paper presents a hybrid active noise canceling (HANC) algorithm to overcome the acoustic feedback present in most ANC system, together with an efficient secondary path estimation scheme. The HANC system provides a solution of two fundamental problems present in these kind of ANC systems: The first consists in a reduction of the acoustic feedback from the cancellation loudspeaker to the inp...

When applying certain adaptive algorithms, such as the popular LMS and NLMS algorithms, in adaptive noise canceling or adaptive equalization scenarios where a strong narrowband interference component is present, these algorithms exhibit nonlinear dynamic behaviors. The latter is expressed in filter weights – that are generally expected to converge to constants – exhibiting a dynamic component. ...