一般神经网络用于信号处理的经典教科书，The field of artificial neural networks has made tremendous progress in the past 20 years in terms of theory, algorithms, and applications. Notably, the majority of real world neural network appli- cations have involved the solution
This book evolved over the past ten years from a set of lecture notes developed while teaching the undergraduate Algorithms course at Berkeley and U.C. San Diego. Our way of teaching this course evolved tremendously over these years in a number of d
This book is aimed at senior undergraduates and graduate students in Engi- neering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a rst- or second- year undergraduate c
An Introduction to Wavelets IEEE Wavelets are mathematical functions that cut up data into di erent frequency components, and then study each component with a resolution matched to its scale. They have advantages over traditional Fourier methods in
The Handbook of Optical Communication Networks is a source of compre- hensive reference material for such networks. The material presented here is intended for professionals in the communications industry who are designers and/or planners for emergi
Model predictive control (MPC) has a long history in the field of control en- gineering. It is one of the few areas that has received on-going interest from researchers in both the industrial and academic communities. Four major as- pects of model pr
The EssentialGuide to Image Processing Academic Press is an imprint of Elsevier 2009 The reader will find that this Guide covers introductory, intermediate and advanced topics of digital image processing, and is intended to be highly accessible for t
This paper reviews the use of Monte Carlo simulation in the field of financial engineering. It focuses on several interesting topics and introduces their recent development, including path generation, pricing American-style deriva- tives, evaluating G
Abstract. We give the background and required tools for applying quasi-Monte Carlo methods eciently to problems in computational - nance, and survey recent developments in this eld.We describe methods for pricing european path-dependent options, an
A cellular automaton is a decentralized computing model providing an excellent platform for performing complex computation with the help of only local information. Researchers, scientists and practitioners from di erent elds have exploited the CA pa
