Proceedings of Practice of Interesting Algorithms 2007
The editor assumes no responsibility for the accuracy, completeness or usefulness of
the information disclosed in this volume. Unauthorized use might infringe on
privately owned patents of publication right. Please contact the individual authors for
permission to reprint or otherwise use information from their papers.
First edition 2007
Publication Planned by Prof. Wenxin Li
Edited by Yili Zhao
All rights reserved
by
Artificial Intelligence Laboratory, Peking University
June 26, 2007
Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source tracking for autonomous control.
Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* interpolation,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial di?erential equations.
Toolbox for Numerical Computing with MATLAB (by Cleve Moler).
Numerical Computing with MATLAB (by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that you will be able to use them correctly, appreciate
their limitations, and modify them when necessary to suit your own needs. The
topics include
* introduction to Matlab,
* linear equations,
* interpolation,
* zero and roots,
* least squares,
* quadrature,
* ordinary di?erential equations,
* random numbers,
* Fourier analysis,
* eigenvalues and singular values,
* partial differential equations.
This book is for all those people.
• For the person who thinks programming is too hard
• For the person who gets bogged down when writing or changing
larger scripts (our analyst)
• For the person who knows the wrong languages well (our programmer):
languages like Java, C#, C++, and C are perfectly fine
languages—in their niche.
The production of this book required the efforts of many people, but two in particular deserve to be singled out for their diligent, sustained, and unselfish efforts. Sally Stickney, the book s principal editor, navigated me through that minefield called the English language and contributed greatly to the book s readability. Marc Young, whose talents as a technical editor are nothing short of amazing, was relentless in tracking down bugs, testing sample code, and verifying facts. Sally, Marc: This book is immeasurably better because of you. Thanks.
This book is the culmination of more than 20 years of building, studying, and teaching real-time systems. The author’s travels have taken him to NASA, UPS, Lockheed Martin, the Canadian and Australian Defense Forces, MIT’s Charles Stark Draper Labs, and many other places. These visits and interactions with literally hundreds of students from such places as Boeing, Motorola, and Siemens have resulted in a wider understanding of real-time systems and particularly their real application. This book is, in essence, a compendium of these experiences. The author’s intent is to provide a practical framework for software engineers to design and implement real-time systems. This approach is somewhat different from that of other texts on the subject.
非常好的優(yōu)化算法的書,詳細(xì)介紹了蟻群算法和粒子群算法以及相關(guān)的matlab工具箱,講了理論和應(yīng)用給出了工具箱的下載地址。
Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
This project allows you to learn communication systems in greater depth. It contains the Simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation.
The idea here is to implement experiments of a traditional communication lab using Simulink.
Most of the block diagrams are self explanatory. More information on the systems and their implementation can be found in the word documents included in the lab directories