Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.

1.控制系统的状态空间表达式。 2.控制系统的状态空间表达式的解。 3.线性系统的能控性。。。。。等等

主要讲的tkinter的现代会界面，也就是着重于ttk的运用

林舒与人合作的最新纠错码图书 The opening chapters begin with basic theory to introduce newcomers to the subject, assuming no prior knowledge in the field of channel coding. Subsequent chapters cover the encoding and decoding of the most widely used codes and extend to advanced topics such as code ensemble performance analyses and algebraic code design. Numerous varied and stimulating end-of-chapter problems, 250 in total, are also included to test and enhance learning, making this an essential resource for students and practitioners alike.

经典的虎书高清原版。用ML语言实现，但是比Java，C版本要更加容易理解。

Contents List of contributors xvi Foreword xvii Acknowledgements xx Electromagnetism and antennas – a historical perspective 1 1 Fundamentals of electromagnetism 7 1.1 Maxwell’s equations 7 1.1.1 Maxwell’s equations in an arbitrary medium 7 1.1.2 Linear media 10 1.1.3 Conducting media 12 1.1.4 Reciprocity theorem 14 1.2 Power and energy 15 1.2.1 Power volume densities 15 1.2.2 Energy volume densities 16 1.2.3 Poynting vector and power 17 1.3 Plane waves in linear media 18 1.3.1 Plane waves in an isotropic linear medium 18 1.3.2 Skin effect 24 Further reading 26 Exercises 27 2 Radiation 31 2.1 Plane wave spectrum 32 2.1.1 Spectral domain 32 2.1.2 Electromagnetic field in a semi-infinite space with no sources 34 2.1.3 The far field 39 2.2 Kirchhoff’s formulation 44 2.2.1 Green’s identity and Green’s functions 44 2.2.2 Kirchhoff’s integral formulation 46 2.2.3 Plane wave spectrum and Kirchhoff’s formulation 48 Further reading 49 Exercises 50 3 Antennas in transmission 53 3.1 Far field radiation 54 3.1.1 Vector characteristic of the radiation from the antenna 54 3.1.2 Translation theorem 55 3.1.3 Application: radiation produced by an arbitrary current 55 3.1.4 Radiated power 58 3.2 Field radiated from an antenna 59 3.2.1 Elementary dipoles 59 3.2.2 Plane-aperture radiation 62 3.3 Directivity, gain, radiation pattern 66 3.3.1 Radiated power 66 3.3.2 Directivity 67 3.3.3 Gain 68 3.3.4 Radiation pattern 70 3.3.5 Input impedance 72 Further reading 73 Exercises 74 4 Receiving antennas 79 4.1 Antenna reciprocity theorem 79 4.1.1 Reciprocity theorem applied to a source-free closed surface 79 4.1.2 Relation between the field on transmit and the field on receive 83 4.2 Antenna effective receiving area 84 4.2.1 Definition 84 4.2.2 Relationship between gain and effective receiving area 85 4.3 Energy transmission between two antennas 86 4.3.1 The Friis transmission formula 86 4.3.2 Radar equation 87 4.3.3 Antenna Radar Cross Section (RCS) 89 4.4 Antenna behaviour in the presence of

现代通信光电子学第6版(Amnon Yariv)，英文原本哦，Yariv的经典之作

经典教材！ Modern Control Systems, 12e, is ideal for an introductory undergraduate course in control systems for engineering students. Written to be equally useful for all engineering disciplines, this text is organized around the concept of control systems theory as it has been developed in the frequency and time domains. It provides coverage of classical control, employing root locus design, frequency and response design using Bode and Nyquist plots. It also covers modern control methods based on state variable models including pole placement design techniques with full-state feedback controllers and full-state observers. Many examples throughout give students ample opportunity to apply the theory to the design and analysis of control systems. Incorporates computer-aided design and analysis using MATLAB and LabVIEW MathScript.

[Katsuhiko_Ogata]_Modern_Control_Engineering_(5th).pdf

解压密码 share.weimo.info Foundations of Modern Networking is a comprehensive, unified survey of modern networking technology and applications for today’s professionals, managers, and students. Dr. William Stallings offers clear and well-organized coverage of five key technologies that are transforming networks: Software-Defined Networks (SDN), Network Functions Virtualization (NFV), Quality of Experience (QoE), the Internet of Things (IoT), and cloudbased services. Dr. Stallings reviews current network ecosystems and the challenges they face–from Big Data and mobility to security and complexity. Next, he offers complete, self-contained coverage of each new set of technologies: how they work, how they are architected, and how they can be applied to solve real problems. Dr. Stallings presents a chapter-length analysis of emerging security issues in modern networks. He concludes with an up-to date discussion of networking careers, including important recent changes in roles and skill requirements. Coverage: ,解压密码 share.weimo.info