Download Emerging Trends in Database and Knowledge-Base Machines: The by Mahdi Abdelguerfi, S. H. Lavington PDF

By Mahdi Abdelguerfi, S. H. Lavington

This ebook illustrates vital ways that new parallel is getting used to enhance the rate and value of various info platforms. It includes 13 unique papers that survey the newest developments in functionality bettering architectures for shrewdpermanent info platforms.

The machines featured within the textual content were designed to aid details platforms starting from relational databases to semantic networks and different man made intelligence paradigms. additionally, some of the tasks illustrated within the booklet comprise frequent architectural principles that help higher-level standards by utilizing semantics-free designs.

The case reviews describe add-on machines and performance-enhancing devices that hire parallel to hurry up database operations. different case reports convey how high-performance desktops help database and similar software program, although a few systems have been initially designed for clinical or numeric purposes. The final 3 chapters provide examples of machines which are intentionally designed to hurry up a specific wisdom illustration formalism or a specific AI challenge fixing paradigm. the data offered all through this booklet may also help all these engaged within the layout or use of high-performance architectures for nonnumeric (i.e., symbolic) purposes.

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Additional resources for Emerging Trends in Database and Knowledge-Base Machines: The Application of Parallel Architectures to Smart Information Systems

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For quantisation to n bits, the amplitude range of the signal is divided into 2n discrete levels, and each sample is quantised to the nearest quantisation level, and then mapped to the binary code assigned to that level. 21 illustrates the quantisation of a signal into 4 discrete levels. Quantisation is a many-to-one mapping, in that all the values that fall within the continuum of a quantisation band are mapped to the centre of the band. 25) where Q[· ] is the quantising function. The performance of a quantiser is measured by signal–to–quantisation noise ratio SQNR per bit.

For convenience of notation Ts is usually assumed to be unity. e. 5) the autocorrelation function is a delta function. 3 Coloured Noise Although the concept of white noise provides a reasonably realistic and mathematically convenient and useful approximation to some predominant noise processes encountered in telecommunication systems, many other noise processes are non-white. The term coloured noise refers to any broadband noise with a non-white spectrum. For example most audiofrequency noise, such as the noise from moving cars, noise from computer fans, electric drill noise and people talking in the background, has a nonwhite predominantly low-frequency spectrum.

For convenience of notation Ts is usually assumed to be unity. e. 5) the autocorrelation function is a delta function. 3 Coloured Noise Although the concept of white noise provides a reasonably realistic and mathematically convenient and useful approximation to some predominant noise processes encountered in telecommunication systems, many other noise processes are non-white. The term coloured noise refers to any broadband noise with a non-white spectrum. For example most audiofrequency noise, such as the noise from moving cars, noise from computer fans, electric drill noise and people talking in the background, has a nonwhite predominantly low-frequency spectrum.

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