Although MATLAB is a powerful algorithm development tool, many of its benefits are reduced during the fixed-point conversion process. For example, new mathematical errors are introduced into the algorithm because of the reduced precision of the fixed-point arithmetic. You must rewrite code to replace high-level functions and operators with low-level models that reflect the actual hardware macro...

SUMMARY KEGG pathway database is a collection of manually drawn pathway maps accompanied with KGML format files intended for use in automatic analysis. KGML files, however, do not contain the required information for complete reproduction of all the events indicated in the static image of a pathway map. Several parsers and editors of KEGG pathways exist for processing KGML files. We introduce K...

This document is a demonstration document, prepared for PolyX Ltd., demonstrating the use of the Polynomial Toolbox for Matlab when designing residual generators for fault diagnosis. A brief introduction to the residual generation problem for fault diagnosis in linear systems is given and a solution based on polynomial methods are outlined. Also, a design example, complete with MATLAB code illu...

This paper presents methods for classification of harmonics present in the electrical signal using Fast Fourier Transform (FFT), Contextual Clustering (CC) and Back Propagation Algorithm (BPA). Power quality meter has been used to collect the electrical signal data from a 40W Fluorescent Lamp (FL). In the captured data, various electrical disturbances are introduced through Matlab code. FFT has...

where y us a D-dimensional vector and I is the D×D identity matrix. Assume you have a data set of N i.i.d. observations of y, i.e. Y = {y, . . . ,y}. More details are provided in Appendix A. General Matlab hint: wherever possible, avoid looping over the data points. Many (but not all) of these functions can be written using matrix operations. In Matlab it’s much faster. Warning: Each question d...

An object-oriented method is presented that generates derivatives of functions defined by MATLAB computer codes. The method uses operator overloading together with forward mode automatic differentiation and produces a new MATLAB code that computes the derivatives of the outputs of the original function with respect to the variables of differentiation. The method can be used recursively to gener...

where y us a D-dimensional vector and I is the D×D identity matrix. Assume you have a data set of N i.i.d. observations of y, i.e. Y = {y, . . . ,y}. More details are provided in Appendix A. General Matlab hint: wherever possible, avoid looping over the data points. Many (but not all) of these functions can be written using matrix operations. In Matlab it’s much faster. Warning: Each question d...

A genetic algorithm implemented in Matlab is presented. Matlab is used for the following reasons: it provides many built in auxiliary functions useful for function optimization; it is completely portable; and it is eecient for numerical computations. The genetic algorithm toolbox developed is tested on a series of non-linear, multi-modal, non-convex test problems and compared with results using...

We present PeriFast/Dynamics, a compact and user-friendly MATLAB code for fast peridynamic (PD) simulations deformation fracture. PeriFast/Dynamics uses the convolution-based method (FCBM) spatial discretization an explicit time marching scheme to solve large-scale dynamic fracture problems. Different from existing PD solvers, does not require neighbor search storage, due use of Fast-Fourier tr...