BACKGROUND The reported accuracy of clinical tests for superior labral anterior posterior lesions is extremely variable. Pooling results from multiple studies of higher quality is necessary to establish the best clinical tests to use. HYPOTHESIS Certain clinical tests are superior to others for diagnosing the presence or absence of a superior labral anterior posterior lesion. STUDY DESIGN M...

Discrete Wavelet Transform (DWT) has demonstrated far superior to previous Discrete Cosine Transform (DCT) and standard JPEG in natural as well as medical image compression. Due to its localization properties both in special and transform domain, the quantization error introduced in DWT does not propagate globally as in DCT. Moreover, DWT is a global approach that avoids block artifacts as in t...

An analysis is presented of parametric instability in a finite-length rotating cylinder subject to periodic axial compression by small sinusoidal oscillations of one of its ends (the ‘piston’). The instability is due to resonant interactions between inertialwave (Kelvin) modes of the cylinder and the oscillatory compression and is resisted by viscosity, acting both through thin boundary layers ...

In this paper, we analyse the different parameter choices for fitting B-spline curves. New estimating criteria for data approximation are introduced in order to estimate the results. The definitions of norms correspond to a global analysis of the curve. Other criteria are based on a local analysis. We present a new method for data compression using fitting B-splines and compare it to usual ones.

Compound document images contain graphic or textual content along with pictures. They are a very common form of documents, found in magazines, brochures, web-sites, etc. We focus our attention on the mixed raster content (MRC) multi-layer approach for compound image compression. We study block thresholding as a mean to segment an image for MRC. An attempt is made to optimize the block threshold...

We describe how wavelet representations can be used to efficiently model large spatial data sets, including 3D data on irregular grids. The main advantage of such representations is that they produce a multilevel structure, which allows us to prioritize the information content of the data set. We discuss three specific application areas: data compression, dimension reduction, and the problem of...

Fractal image compression gives some desirable properties like resolution independence, fast decoding, and very competitive rate-distortion curves. But still suffers from a (sometimes very) high encoding time, depending on the approach being used. This paper presents a method to reduce the encoding time of this technique by reducing the size of the domain pool based on the Entropy value of each...

Fractal functions are explored as a representation for rough data in computer graphics. Two new techniques for using fractal interpolation functions to approximate rough functions and curves are introduced. The first is based on a Hough transform of fractal function transformation parameters. The second is based on previous techniques in fractal image compression. These techniques are then demo...

This paper is a study of non-linear effects of RF Amplifiers on Communication Systems Performance. High speed data communication is made possible by Multilevel Modulation schemes. This paper presents a study of these non linear effects on multilevel Modulation schemes like MPSK and MQAM. We make use of Bit Error Ratio (BER) as performance measure. BER vs SNR (Signal-to-Noise Ratio) curves provi...

A network of entangled multiwall carbon nanotubes is an assembly of non-bonded and randomly oriented units whose mechanical behavior is affected by their buckling, compression and slippage at contact points. Slippage and irreversible nanotube rearrangements are evidenced by the hysteresis in the stress-strain curves during loading and unloading cycles. To model the mechanical behavior, a nonlin...