Maurice Charbit

Digital Signal and Image Processing Using Matlab®: Volume 1 Fundamentals

First volume (/3) giving basis for both the theoretical and practical aspects of signal and image processing. Each topic is illustrated by examples and/or exercises using the MATLAB language.

Monte‐Carlo Simulation

INTRODUCTION In Experiment 1 we investigated techniques to compare theoretical predictions with experimental data. This experiment extends that study to cases in which least-squares fits are not possible and/or appropriate. It concentrates on a method of generating synthetic data sets called Monte Carlo simulation (the name is after the casino). This document is organised as follows: I. Physics Background: needed background for the experiment. A. Review of special relativity. B. High energy physics. II. Motivation: circumstances in which Monte Carlo techniques are called for. A. Quantum mechanics. B. Confidence limits. III. Implementation: details of how to implement a Monte Carlo calculation. A. The Monte Carlo algorithm.