time and discrete-time concepts/methods in parallel — highlighting the similarities and differences — and features introductory treatments of the applications of these basic methods in such areas as filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. Relatively self-contained, the book assumes no prior experience with system analysis, convolution, Fourier analysis, or Laplace and z-transforms. FEATURES: Develops continuous-time and discrete-time concepts in parallel — highlighting the similarities and differences. E.g.: Ch. 1 on basic signals and system properties, Ch. 2 on linear time-invariant systems, and Ch. 3 on Fourier series representation each develop the continuous-time and discrete-time concepts in parallel. Ch. 9 on the Laplace Transform and Ch. 10 on the Z-transform deal with the two domains separately, but often draw parallels between results in the two domains. Introduces some of the important uses of the basic methods that are developed — e.g., filtering, communication, sampling, discrete-time processing of continuous-time signals, and feedback. NEW — A companion book contains MATLAB-based computer exercises for each topic. NEW —Material on Fourier analysis has been reorganized significantly to provide an easier path for the reader to master and appreciate the importance of this topic. Now represented in four chapters, each of which is far more streamlined and focused, introducing a smaller and more cohesive set of topics. NEW —Frequency-domain filtering is introduced very early in the development to provide a central and concrete illustration of why this topic is important and to provide some intuition with a minimal amount of mathematical preliminaries. NEW —Relocates coverage of Sampling before Communication. * Allows for discussion of important forms of communication, namely those involving discrete or digital signals, in which sampling concepts are intimately involved. NEW — Chapter-end Problems They provide a better balance between exercises developing basic skills and understanding ones that pursue more advanced problem-solving skills. The new edition organizes chapter-end problems into four types of sections which makes it easier for the reader to locate the problems that will best serve their purposes; and provides two types of basic problems, ones with answers (but not solutions); and ones with solutions to provide immediate feedback, while attempting to master the material. The four types of chapter-end problems are— Basic Problems with Answers. Basic Problems. Advanced Problems. Extension Problems..
Category: Programming and Logic
Elements of ML Programming, ML97 Edition
— The author, who is a data structure pioneer, shows how standard structure and problems (e.g., hashing, binary trees, solving linear equations, numerical integration, and sorting) are implemented with ML.– Makes ML programming interesting for the uninitiated.– Demonstrates the power and ease of functional programming with a variety of interesting small and large program examples.Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed.This is the first book that offers Both a highly accessible, step-by-step introductory tutorial on ML programming and a complete reference to, and explanation of, advanced features. The author uses a wide variety of digestible program examples to bring the reader along at a reasonable pace. More sophisticated programs and advanced concept topics balance out a book that is usable in a number of courses and settings for either self-study or class discussion..
Fortran 90 for Engineers and Scientists
Best-selling authors, Larry Nyhoff and Sanford Leestma, bring you one of the first comprehensive Fortran 90 texts that features excellent engineering and science applications and programming problems. The authors, well-known for their clear, concise presentation style emphasize how Fortran 90 is used to solve problems. Their strong pedagogical approach teaches the basic steps in program development: problem analysis and specification, algorithm development, program coding, program execution and testing, and program maintenance..
ANSI Common LISP
Teaching users new and more powerful ways of thinking about programs, this two-in-one text contains a tutorial–full of examples–that explains all the essential concepts of Lisp programming, plus an up-to-date summary of ANSI Common Lisp. Informative and fun, it gives users everything they need to start writing programs in Lisp and highlights innovative Lisp features..
Fundamentals of Algorithmics
Elements of the Theory of Computation
Lewis and Papadimitriou present this long awaited Second Edition of their best-selling theory of computation. The authors are well-known for their clear presentation that makes the material accessible to a a broad audience and requires no special previous mathematical experience. In this new edition, the authors incorporate a somewhat more informal, friendly writing style to present both classical and contemporary theories of computation. Algorithms, complexity analysis, and algorithmic ideas are introduced informally in Chapter 1, and are pursued throughout the book. Each section is followed by problems..
C Programming Language
This book is meant to help the reader learn how to program in C. It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C ‘wears well as one’s experience with it grows.’ With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well..
Schaum’s Outline of Set Theory and Related Topics
More than 225,000 students study set theory every year. This is an ideal supplementary study guide for all textbooks on the subject, or it can be used as a complete self-study course. It makes math clear to liberal arts majors and teaches effective problem solving with 530 fully solved example problems. Illustrated..