Theory and Applications of Numerical Analysis 2nd ed下载

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数学英语方面的书籍，涵盖内容较多，适合数学专业的学生看耍
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数学英语方面的书籍，涵盖内容较多，适合数学专业的学生看耍

Electromagnetic Field Theory Fundamentals 2nd ed - B. Guru, H. Hiziroglu 本书简明易懂，贴近读者，深受广大师生欢迎。　　本书包含许多实例、问题、章末小结和适当的背景材料。书中首先介绍静电磁场和静磁场的基本概念，继而讲解麦克斯韦尔方程、电磁传播、电磁传输和电磁辐射。另外，还增加了关于有限元法和有限差分法的章节以及关于史密斯圆图的详细附录。　　1 ELECTROMAGNETIC FIELD THEORY 1.1 Introduction 1.2 Field Concept 1.3 Vector Analysis 1.4 Differential and Integral Formulations 1.5 Static Fields 1.6 Time-Varying Fields 1.7 Applications of Time-Varying Fields 1.8 Numerical Solutions 1.9 Further Study 2 VECTOR ANALYSIS 2.1 Introduction 2.2 Scalar and Vector Quantities 2.3 Vector Operations 2.4 The Coordinate Systems 2.5 Scalar and Vector Fields 2.6 Differential Elements of Length, Surface, and Volume 2.7 Line, Surface, and Volume Integrals 2.8 The Gradient of a Scalar Function 2.9 Divergence of a Vector Field 2.10 The Curl of a Vector Field 2.11 The Laplacian Operator 2.12 Some Theorems and Field Classifications 2.13 Vector Identities 2.14 Summary 2.15 Review Questions 2.16 Problems 3 ELECTROSTATICS 3.1 Introduction 3.2 Coulomb’s Law 3.3 Electric Field Intensity 3.4 Electric Flux and Electric Flux Density 3.5 The EIectric Potential 3.6 Electric Dipole 3.7 Materials in an Electric Field 3.8 Energy Stored in an EIectric Field 3.9 Boundary Conditions 3.10 Capacitor and Capacitance 3.11 Poisson’s and Laplace’s Equations 3.12 Method of Images 3.13 Summary 3.14 Review Questions 3.15 Problems 4 STEADY ELECTRIC CURRENTS 4.1 Introduction 4.2 Nature of Current and Current Density 4.3 Resistance of a Conductor 4.4 The Equation Of Continuity 4.S Relaxation Time 4.6 Joule’s Law 4.7 Steady Current in a Diode 4.8 Boundary Conditions for Current Density 4.9 Analogy Between D and J 4.10 The Electromotive Force 4.11 Summary 4.12 Review Questions 4.13 Problems 1 ELECTROMAGNETIC FIELD THEORY 1.1 Introduction 1.2 Field Concept 1.3 Vector Analysis 1.4 Differential and Integral Formulations 1.5 Static Fields 1.6 Time-Varying Fields 1.7 Applications of Time-Varying Fields 1.8 Numerical Solutions 1.9 Further Study 2 VECTOR ANALYSIS 2.1 Introduction 2.2 Scalar and Vector Quantities 2.3 Vector Operations 2.3.1 Vector Addition 2.3.2 Vector Subtraction 2.3.3 Multiplication of a Vector by a Scalar 2.3.4 Product of Two Vectors 2.4 The Coordinate Systems 2.4.1 Rectangular Coordinate System 2.4.2 Cylindrical Coordinate System 2.4.3 Spherical Coordinate System 2.5 Scalar and Vector Fields 2.6 Differential Elements of Length, Surface, and Volume 2.7 Line, Surface, and Volume Integrals 2.8 The Gradient of a Scalar Function 2.9 Divergence of a Vector Field 2.10 The Curl of a Vector Field 2.11 The Laplacian Operator 2.12 Some Theorems and Field Classifications 2.13 Vector Identities 2.14 Summary 2.15 Review Questions 2.16 Problems 3 ELECTROSTATICS 3.1 Introduction 3.2 Coulomb’s Law 3.3 Electric Field Intensity 3.3.1 Electric Field Intensity Due to Charge Distributions 3.4 Electric Flux and Electric Flux Density 3.4.1 Definition of Electric Flux 3.4.2 Gauss’s Law 3.5 The EIectric Potential 3.6 Electric Dipole 3.7 Materials in an Electric Field 3.8 Energy Stored in an EIectric Field 3.9 Boundary Conditions 3.10 Capacitor and Capacitance 3.11 Poisson’s and Laplace’s Equations 3.12 Method of Images 3.13 Summary 3.14 Review Questions 3.15 Problems 4 STEADY ELECTRIC CURRENTS 4.1 Introduction 4.2 Nature of Current and Current Density 4.3 Resistance of a Conductor 4.4 The Equation Of Continuity 4.S Relaxation Time 4.6 Joule’s Law 4.7 Steady Current in a Diode 4.8 Boundary Conditions for Current Density 4.9 Analogy Between D and J 4.10 The Electromotive Force 4.11 Summary 4.12 Review Questions 4.13 Problems 5 MAGNETOSTATICS 6 APPLICATIONS OF STATIC FIELDS 7 TIME-VARYING ELECTROMAGNETIC FIELDS 8 PLANE WAVE PROPAGATION 9 TRANSMISSION LINES 10 WAVEGUIDES AND CAVITY RESONATORS 11 ANTENNAS 12 COMPUTER-AIDED ANALYSIS OF ELECTROMAGNETIC FIELDS APPENDIX A SMITH CHART AND ITS APPLICATIONS APPENDIX B COMPUTER PROGRAMS FOR VARIOUS PROBLEMS APPENDIX C USEFUL MATHEMATICAL TABLES INDEX

MSR Identity Toolbox: A Matlab Toolbox for Speaker Recognition Research Version 1.0 Seyed Omid Sadjadi, Malcolm Slaney, and Larry Heck Microsoft Research, Conversational Systems Research Center (CSRC) s.omid.sadjadi@gmail.com, {mslaney,larry.heck}@microsoft.com This report serves as a user manual for the tools available in the Microsoft Research (MSR) Identity Toolbox. This toolbox contains a collection of Matlab tools and routines that can be used for research and development in speaker recognition. It provides researchers with a test bed for developing new front-end and back-end techniques, allowing replicable evaluation of new advancements. It will also help newcomers in the field by lowering the “barrier to entry”, enabling them to quickly build baseline systems for their experiments. Although the focus of this toolbox is on speaker recognition, it can also be used for other speech related applications such as language, dialect and accent identification. In recent years, the design of robust and effective speaker recognition algorithms has attracted significant research effort from academic and commercial institutions. Speaker recognition has evolved substantially over the past 40 years; from discrete vector quantization (VQ) based systems to adapted Gaussian mixture model (GMM) solutions, and more recently to factor analysis based Eigenvoice (i-vector) frameworks. The Identity Toolbox provides tools that implement both the conventional GMM-UBM and state-of-the-art i-vector based speaker recognition strategies. A speaker recognition system includes two primary components: a front-end and a back-end. The front-end transforms acoustic waveforms into more compact and less redundant representations called acoustic features. Cepstral features are most often used for speaker recognition. It is practical to only retain the high signal-to-noise ratio (SNR) regions of the waveform, therefore there is also a need for a speech activity detector (SAD) in the fr

转自：http://blog.csdn.net/wowdd1/article/details/7376630 Undergraduate Courses 6.00 Introduction to Computer Science and Programming Python Programming: An Introduction to Computer Science http...

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