Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations

conclusions after kyphoplasty, her pain was immediately resolved, vertebral body height was restored to normal, and pain score was reduced from 8 to 1. she was discharged with a normal neurological examination and good general condition, and returned to her normal life. in this case, balloon kyphoplasty resulted in the restoration of the vertebral body height, decrease in pain, and returning to...

The development of an efficient compression scheme to process the Arabic language represents a difficult task. This paper employs the dynamic Huffman coding on data compression with variable length bit coding, on the Arabic language. Experimental tests have been performed on both Arabic and English text. A comparison is made to measure the efficiency of compressing data results on both Arabic a...

The report presents a novel approach for image compression using the Hartley transform (HT). The Hartley transform has the advantage of solving the problem of phase wrapping from which the Fourier transform suffers. The magnitude and phase compression using this transformation (HT) have proved better performance than those of the Fourier Transform. Magnitude and phase were processed separately....

Mechanical behavior of articular cartilage was characterized in unconfined compression to delineate regimes of linear and nonlinear behavior, to investigate the ability of a fibril-reinforced biphasic model to describe measurements, and to test the prediction of biphasic and poroelastic models that tissue dimensions alter tissue stiffness through a specific scaling law for time and frequency. D...

Current standards for the compression of still and moving images use Discrete Cosine Transform (DCT) which represents an image as a superposition of cosine functions with different discrete frequencies. Students and engineers specializing in image and video systems engineering need to understand why DCT is necessary and to understand the influence of DCT based image compression on picture quali...

— In modern communicative and networked computing, sharing and storing image data efficiently have been a great challenge. People all over the world are sharing, transmitting and storing millions of images every moment. Although, there have been significant development in storage device capacity enhancement sector, production of digital images is being increased too in that proportion. Conseque...

Passive Global Navigation Satellite System (GNSS)-based Synthetic Aperture Radar (SAR), known as GNSS-SAR, is a new passive radar imaging system. However, compared with conventional SAR, range resolution of GNSS-SAR is significantly lower. To improve range resolution of GNSS-SAR is an interested topic for investigation. In this paper, a novel range compression algorithm for enhancing range reso...

Compressing an image is significantly different than compressing raw binary data. For this different compression algorithm are used to compress images. Fractal image compression (FIC) has been widely used to compress the image. Apart from FIC, their also exist another algorithm well known as Discrete Wavelet Transform (DWT). Wavelet transform are very powerful compared to other transform becaus...

Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of image compression. The results of the compression change as per the basis and tap of the wavelet used. This paper compares compression performance of Daubechies, Biorthogonal, Coiflets and other wavelets along with res...