Programs in the irregular grid design package described in this manual are used to carry out five main functions:
verification and adjustment of coastline and bathymetric data
preparation of an irregular triangular depth grid covering the Domain to be modelled
production of a preliminary irregular triangular model grid with nodes suitably positioned for accurate and efficient numerical modelling
interactive checking and editing, including trimming and joining, of model grid
display and plotting of model output.
Coaxial feed structures are widely used in ultra-wide band antennas . This paper modeled the characteristic of the monopole antenna feeded by coaxial line by FDTD in the time-domiain,which showes that . Firstly, it introduced the theory of the arithmetic and the particularly realization in the calculation then it described the use in the time-Domain finally it analysed several characteristics of the monopole antenna. The arithmetic used in the microstrip antenna is also a quick and economical way to design the antenna.
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LOADED is a tunable algorithm,
wherein one can trade off computation for accuracy so that
Domain-specific response times are achieved. Experimental
results show that LOADED provides very good detection and
false positive rates, which are several times better than those
of existing distance-based schemes.
An optimal neuron evolution algorithm for the restoration
of linearly distorted images is presented in this paper. The proposed
algorithm is motivated by the symmetric positive-definite quadratic programming
structure inherent in restoration. Theoretical analysis and experimental
results show that the algorithm not only significantly increases
the convergence rate of processing, hut also produces good restoration
results. In addition, the algorithm provides a genuine parallel processing
structure which ensures computationally feasible spatial Domain image
restoration
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.
Circular Convolution of two equal-length vectors. Highlights that circular convolution in the time Domain is the effectively the same as element-by-element multiplication in the frequency Domain.
Fast Fourier Transform power point
The rectangular window introduces broadening of any frequency components [`smearing鈥? and sidelobesthat may overlap with other frequency components [`leakage鈥?.
鈥he effect improves as Nincreases
鈥owever, the rectangle window has poor properties and better choices of wncan lead to better spectral properties [less leakage, in particular] 鈥搃.e. instead of just truncating the summation, we can pre-multiply by a suitable window function wnthat has better frequency Domain properties.
鈥ore on window design in the filter design section of the course
