SQUID gradiometry for magnetocardiography using different noise cancellation techniques

MgB2 SQUID for Magnetocardiography

Optical Magnetometer Employing Adaptive Noise Cancellation for Unshielded Magnetocardiography

This paper demonstrates the concept of an optical magnetometer for magnetocardiography. The magnetometer employs a standard Least-Mean-Squares (LMS) algorithm for heart magnetic field measurement within unshielded environment. Experimental results show that the algorithm can extract a weak heart signal from a much-stronger magnetic noise and detect the P, QRS, and T heart features and completel...

Adaptive Noise Cancellation using Multirate Techniques

Abstract—This paper presents development of a new adaptive structure based on multirate filter and testing the same for deterministic, speech and music signals. A new class of FIR filtering algorithm based on the multirate approach is proposed. They not only reduce the computational complexity in FIR filtering, but also retain attractive implementation related properties such as regularity and ...

Speech Signal Enhancement Using Adaptive Noise Cancellation Techniques

Speech signal enhancement is an important topic in speech processing where signal changes its characteristics with time depending on various conditions. An important problem that affects the signal enhancement is the background noise which is a major source of quality degradation in speech and audio signals. Adaptive noise cancellation algorithms are used to reduce this noise with relatively fa...

Seismic Gradiometry using Ambient Seismic Noise in an Anisotropic Earth