| Springer Nature B.V.

73,480원  | 20120810  | 9788132206293

Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal.

Choi, Jinho  | Cambridge

244,380원  | 20210101  | 9780521517607

With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided det...

Nandi, Swagata, Kundu, Debasis  | Springer

183,730원  | 20210905  | 9789811562822

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved.

 | Springer

0원  | 20020501  | 9781852333850

Veloni, Anastasia, Miridakis, Nikolaos, Boukouvala, Erysso  | CRC Press

106,360원  | 20201220  | 9780367732998

Fundamental topics in digital signal processing are covered through the introduction of theory, analytical tables, and applications with simulation tools. The text addresses the widespread focus in electrical engineering fields for processing information in the form of digital signals, using certain DSP hardware designed to execute software.

 | Springer

238,850원  | 20200822  | 9789811562792

This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved.

Scharf, Louis L.  | Addison-Wesley

0원  | 19910701  | 9780201190380

This book embraces the many mathematical procedures that engineers and statisticians use to draw inference from imperfect or incomplete measurements. This book presents the fundamental ideas in statistical signal processing along four distinct lines: mathematical and statistical preliminaries; decision theory; estimation theory; and time series analysis.

Gray, Robert M.  | Cambridge

45,000원  | 20210101  | 9780521131827

This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the text.

 | MIT Press

0원  | 20061030  | 9780262083485

Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain.

Gray, Robert M./ Davisson, Lee D.  | Cambridge

141,680원  | 20050131  | 9780521838603

This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic pro...

Jahromi, Omid S.  | Springer

0원  | 99991230  | 9781402053160

The ability to process signals at multiple sampling rates can help reduce costs and improve performance in many DSP applications ranging from signal compression to wireless communications, consumer entertainment products and sensor networks. The theory of multirate signal processing has witnessed a great deal of progress since the publication of the first textbook by Ronald E. Crochiere and Lawrence R. Rabiner in 1983. However, this progress has been mainly in the area of deterministic systems with emphasis on perfect-reconstruction filter banks, orthogonal filter banks, systems with the same sampling rate across all channels and tree-structured systems. Multirate Statistical Signal Processing introduces a statistical theory for extracting information from several related signals that have different sampling rates. This new theory generalizes the conventional (deterministic) theory of multirate systems beyond many of its constraints. Furthermore, it allows for the formulation and solution of several new problems such as spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. The author presents background material, key principles, potential applications and leading-edge research while striking the appropriate balance between clarity and brevity. The book is self-contained and provides a valuable resource for signal processing researchers, graduate students and practicing engineers.

Spagnolini, Umberto  | Wiley

230,450원  | 20180205  | 9781119293972

A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a pragmatic approach in solving a set of common problems engineers and technicians encounter when processing signals.

 | Academic Press

15,000원  | 20061201  | 9780120885817

From the Publisher Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech.

Shiavi, Richard.  | Academic-Press

49,000원  | 19990701  | 9780126400106

Introduction to Applied Statistical Signal Analysis, Second Edition provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises that range from pencil and paper format to computer-based format problems to instructional notebooks. The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning. Contains numerous examples of "real-world" applications Provides electronic notebooks on CD-ROM for interactive learning Presents a graphical explanation of concepts Notebooks introduce students to how MATLAB is implemented Excercises and projects contain real data and emphasize concepts --- FROM THE PUBLISHER

Oweiss, Karim G.  | Academic Pr

239,780원  | 20100804  | 9780123750273

Summarizes the advances in the field of signal processing theory and techniques for solving various problems in neuroscience. This book gives an overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.