Recent advances in experimental methods have resulted in the generation
of enormous volumes of data across the life sciences. Hence clustering and
classification techniques that were once predominantly the domain of ecologists
are now being used more widely. This book provides an overview of these
important data analysis methods, from long-established statistical methods
to more recent machine learning techniques. It aims to provide a framework
that will enable the reader to recognise the assumptions and constraints that
are implicit in all such techniques. Important generic issues are discussed first
and then the major families of algorithms are described. Throughout the focus
is on explanation and understanding and readers are directed to other resources
that provide additional MATHEMATICAL rigour when it is required. Examples
taken from across the whole of biology, including bioinformatics, are provided
throughout the book to illustrate the key concepts and each technique’s
potential.
This paper presents a novel technique to increase
the quality of medical images based on Histogram
Equalization. In the proposed method first we have
applied a noise reduction method and then we apply
some suitable preprocessing on histogram of the
medical images and after that histogram equalization
has been applied on the new histogram. Our proposed
method in despite of its simplicity has better results in
compare to other usual methods based on histogram
equalization. The quality of resulted images after
applying our proposed methods has been tested on a
database (medical images) with a confirmed criterion
by viewer. Also we have considered a MATHEMATICAL
criterion for comparing our proposed algorithm with
other available methods for contrast enhancement.
Results show the better efficiency of the proposed
method.
The advantages of automation can be exploited in order to solve or to
minimize the needs of manual approach. In order to support the development of
survey accurate cadastral system, an automatic programming approach will be
adopted. Database selection system will conduct several outliers integrity
checking, rebuild cadastral spatial topology (cadastral lot) and make selfcorrection
procedures based on cadastral survey concepts and MATHEMATICAL
model respective to the cadastral lots selected. This is to ensure that all cadastral
lots are kept in a closed polygon and provide accurate and "clean" cadastral
information.. This system was developed in windows environment.
A short tour on wavelets. This documents describes general aspects in wavelet field. It concerns a MATHEMATICAL approach and can be used as a teaching material.
This paper analyzes the vector control theory of asynchronous motors based on the magnetic orientation of motor rotors, and its MATHEMATICAL model is made. Then the variable frequency vector speed-adjusting experimental system is built with the DSP TMS320F2812 which works as the core control chip and intelligent power module.
A fractal is generally "a rough or fragmented geometric shape that can be split into parts, each of which is (at least approximately) a reduced-size copy of the whole,"[1] a property called self-similarity. The term was coined by Benoî t Mandelbrot in 1975 and was derived from the Latin fractus meaning "broken" or "fractured." A MATHEMATICAL fractal is based on an equation that undergoes iteration, a form of feedback based on recursion.[2]
Written for engineering and computer science students and practicing engineers, this book provides the fundamental applications and MATHEMATICAL techniques of signal processing. Topics covered include programming in MATLAB, filters, networking, and parallel processing.
MATLAB is introduced and used to solve numerous examples in the book.
Companion software available
In addition, a set of MATLAB M-files is available on a CD bound in the book.
