Convergence acceleration of the doubly periodic Green's function for the analysis of thin wire arrays

A method is proposed to accelerate the evaluation of the Green's function of an infinite double periodic array of thin wire antennas. The method is based on the expansion of the Green's function into series corresponding to the propagating and evanescent waves and the use of Poisson and Kummer transformations enhanced with the analytic summation of the slowly convergent asymptotic terms. Unlike existing techniques the procedure reported here provides uniform convergence regardless of the geometrical parameters of the problem or plane wave excitation wavelength. In addition, it is numerically stable and does not require numerical integration or internal tuning parameters, since all necessary series are directly calculated in terms of analytical functions. This means that for nonlinear problem scenarios that the algorithm can be deployed without run time intervention or recursive adjustment within a harmonic balance engine. Numerical examples are provided to illustrate the efficiency and accuracy of the developed approach as compared with the Ewald method for which these classes of problems requires run time splitting parameter adaptation.

Hierarchical synthesis of complex DSP functions on FPGAs

SoC systems are now being increasingly constructed using a hierarchy of subsystems or silicon Intellectual Property (IP) cores. The key challenge is to use these cores in a highly efficient manner which can be difficult as the internal core structure may not be known. A design methodology based on synthesizing hierarchical circuit descriptions is presented. The paper employs the MARS synthesis scheduling algorithm within the existing IRIS synthesis flow and details how it can be enhanced to allow for design exploration of IP cores. It is shown that by accessing parameterised expressions for the datapath latencies in the cores, highly efficient FPGA solutions can be achieved. Hardware sharing at both the hierarchical and flattened levels is explored for a normalized lattice filter and results are presented.

Behavior analytic perspective on victimology

The field of victimology has become an area of serious scientific enquiry only recently and now attracts a wide range of theories from within multiple disciplines. In this paper the contribution that the science of behavior analysis can make to the conceptualization of the field is explored by investigating what makes people vulnerable to becoming victims or indeed perpetrators of violence and by examining why some people who have experienced violent incidents become victims while others grow to be survivors. A behavior analytic perspective sheds new light on these issues.

Behavior analytic perspective on victimology

The field of victimology has become an area of serious scientific enquiry only recently and now attracts a wide range of theories from within multiple disciplines. In this paper the contribution that the science of behavior analysis can make to the conceptualization of the field is explored by investigating what makes people vulnerable to becoming victims or indeed perpetrators of violence and by examining why some people who have experienced violent incidents become victims while others grow to be survivors. A behavior analytic perspective sheds new light on these issues