Introduction to Digital and Analogue Integrated Circuits and Applications

Engineering & Transportation

Mitra, Sanjit K.

Engineering

Harper&Row

Digital Signal Processing: A Computer Based Approach (McGraw-Hill International Editions Series)

Computers & Technology

Networking & Cloud Computing

McGraw-Hill Education (ISE Editions)

Digital Signal Processing, 3/EDigital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises.

Digital Signal Processing: A Computer Based Approach

Software

McGraw-Hill Companies, The

"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises. 
New topics in the second edition include: finite-dimensional discrete-time systems, correlation of signals, inverse systems, system identification, matched filter, design of analog and IIR digital highpass, bandpass and bandstop filters, more on FIR filters, spectral analysis of random signals and sparse antenna array design. 
A corrected version of the main text is now packaged with Digital Signal Processing Laboratory Using MATLAB, which is intended for a computer-based DSP laboratory course that supplements a lecture course on Digital Signal Processing. 
 The lab book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing. In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects.

Digital Signal Processing: A Computer-Based Approach, 2e with DSP Laboratory using MATLAB

Computer Science

McGraw-Hill Science/Engineering/Math.

Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind.A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.

Digital Signal Processing: A Computer-Based Approach

Mcgraw-Hill College

Digital Signal Processing

WCB/McGraw-Hill

In Signals and Systems, Sanjit Mitra addresses the question: What are the core concepts that undergraduate students need to learn in order to successfully continue their studies in the field? Straightforward, easy-to-understand, and engaging, Signals and Systems enables students to focus on essential material by avoiding artificial signals and systems that they will never encounter in their professional careers.

Signals and Systems (The Oxford Series in Electrical and Computer Engineering)

Oxford University Press

Discusses important topics in modern digital signal processing. Designed to fill the needs of practicing engineers and designers of hardware systems and software. The editors present the principal applications of the subject, followed by coverage of such topics as linear time-invariant discrete-time systems, finite- and infinite- impulse response digital filter design, digital filter implementation considerations, signal conditioning and interface circuits, hardware and architecture, multirate signal processing, and adaptive filtering.

Handbook for Digital Signal Processing

Wiley-Interscience

The growth in the field of digital signal processing began with the simulation of continuous-time systems in the 1950s, even though the origin of the field can be traced back to 400 years when methods were developed to solve numerically problems such as interpolation and integration. During the last 40 years, there have been phenomenal advances in the theory and application of digital signal processing. In many applications, the representation of a discrete-time signal or a sys tem in the frequency domain is of interest. To this end, the discrete-time Fourier transform (DTFT) and the z-transform are often used. In the case of a discrete-time signal of finite length, the most widely used frequency-domain representation is the discrete Fourier transform (DFT) which results in a finite length sequence in the frequency domain. The DFT is simply composed of the samples of the DTFT of the sequence at equally spaced frequency points, or equivalently, the samples of its z-transform at equally spaced points on the unit circle. The DFT provides information about the spectral contents of the signal at equally spaced discrete frequency points, and thus, can be used for spectral analysis of signals. Various techniques, commonly known as the fast Fourier transform (FFT) algorithms, have been advanced for the efficient com putation of the DFT. An important tool in digital signal processing is the linear convolution of two finite-length signals, which often can be implemented very efficiently using the DFT.

The Nonuniform Discrete Fourier Transform and Its Applications in Signal Processing (The Springer International Series in Engineering and Computer Science, 463)

Bagchi, Sonali

Springer

The Nonuniform Discrete Fourier Transform and Its Applications in Signal Processing (The Springer International Series in Engineering and Computer Science)

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