The testing method using Barkhausen noise (B.N) is a particular method, which can be applied on ferromagnetic materials. It is a magnetic non destructive evaluation (NDE) method and can provide very important information about the material microstructure. The work here presented documents the ability to determine the metallurgical state of steel. A new approach is studied of defects; microstruc...

A compact MRI system for trabecular bone (TB) microstructure measurements of the distal radius was developed using a 1.0 T permanent magnet and a compact MRI console. TB microstructure of the distal radius was clearly visualized using a three-dimensional (3D) driven equilibrium spin-echo (DESE) sequence in 23 min. The image obtained had a sufficient spatial resolution (150 microm x 150 microm x...

The broad supercontinuum generated by pumping highly nonlinear microstructure fiber with a femtosecond laser exhibits broadband amplitude noise. We experimentally investigate this amplitude noise as a function of wavelength, input pump power, and chirp. OCIS codes: 190.4370, 190.7110

This letter discusses the role electrical anisotropy plays in the structural integrity assessment of polycrystalline titanium alloys from the standpoint of fatigue crack detection and the related issue of microstructural noise. In eddy current inspection of noncubic crystallographic classes of polycrystalline metals the electric anisotropy of individual grains produces an inherent microstructur...

We introduce the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation at zero displacement is typical...

The realized variance (RV) is known to be biased because intraday returns are contaminated with market microstructure noise, in particular if intraday returns are sampled at high frequencies. In this paper, we characterize the bias under a general specification for the market microstructure noise, where the noise may be autocorrelated and need not be independent of the latent price process. Wit...

Recorded prices are known to diverge from their “efficient” values due to the presence of market microstructure contaminations. The microstructure noise creates a dichotomy in the model-free estimation of integrated volatility. While it is theoretically necessary to sum squared returns that are computed over very small intervals to better indentify the underlying volatility over a period, the s...

This paper proposes a novel multiscale estimator for the integrated volatility of an Itô process with harmonizable increments, in the presence of market microstructure noise. The multiscale structure is modelled frequency-by-frequency and the concept of the multiscale ratio is introduced to quantify the bias in the quadratic variation due to the microstructure noise process. The multiscale rati...