Magnetoelectric Transverse Gradient Sensor with High Detection Sensitivity and Low Gradient Noise

Magnetoelectric Transverse Gradient Sensor with High Detection Sensitivity and Low Gradient Noise

We report, theoretically and experimentally, the realization of a high detection performance in a novel magnetoelectric (ME) transverse gradient sensor based on the large ME effect and the magnetic field gradient (MFG) technique in a pair of magnetically-biased, electrically-shielded, and mechanically-enclosed ME composites having a transverse orientation and an axial separation. The output vol...

Gradient-Type Magnetoelectric Current Sensor with Strong Multisource Noise Suppression

A novel gradient-type magnetoelectric (ME) current sensor operating in magnetic field gradient (MFG) detection and conversion mode is developed based on a pair of ME composites that have a back-to-back capacitor configuration under a baseline separation and a magnetic biasing in an electrically-shielded and mechanically-enclosed housing. The physics behind the current sensing process is the pro...

extremal region detection guided by maxima of gradient magnitude

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...

Better Gradient Noise

We present three improvements to Perlin’s gradient noise algorithm. First, a small change in the permutation hash function combined with separate pseudorandom tables yields significantly better axial decorrelation. Second, a modification to the reconstruction kernel approximating a global higher-order differencing operator produces better bandlimitation. Third, the quality of 2D surfaces using ...

High- Versus Low-Gradient Severe Aortic Stenosis