Multi-Disciplinary Digital Signal Processing A Functional Approach Using Matlab

DSP

Dr. E. S. Gopi, “Multi-Disciplinary Digital Signal Processing: A Functional Approach Using Matlab”
E.S. Gopi, “Digital Signal Processing for Wireless Communication using Matlab”
Jose Maria Giron-Sierra, “Digital Signal Processing with Matlab Examples, Volume 3: Model-Based Actions and Sparse Representation”
Bogdan Dumitrescu, “Positive Trigonometric Polynomials and Signal Processing Applications”
“MATLAB: A Ubiquitous Tool for the Practical Engineer” ed. by Clara M. Ionescu

Dr. E. S. Gopi, “Multi-Disciplinary Digital Signal Processing: A Functional Approach Using Matlab”

English | EPUB | 2017 (2018 Edition) | 205 Pages | ISBN : 3319574299 | 6 MB

This book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience.
Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab

E.S. Gopi, “Digital Signal Processing for Wireless Communication using Matlab”

2016 | ISBN-10: 3319206508 | 174 pages | EPUB | 5 MB

This book examines signal processing techniques used in wireless communication illustrated by using the Matlab program. The author discusses these techniques as they relate to Doppler spread, Delay spread, Rayleigh and Rician channel modeling, rake receiver, diversity techniques, MIMO and OFDM based transmission techniques, and array signal processing. Related topics such as detection theory, Link budget, Multiple access techniques, spread spectrum, are also covered. • Illustrates signal processing techniques involved in wireless communication • Discusses multiple access techniques such as Frequency division multiple access, Time division multiple access, and Code division multiple access • Covers band pass modulation techniques such as Binary phase shift keying, Differential phase shift keying, Quadrature phase shift keying, Binary frequency shift keying, Minimum shift keying, and Gaussian minimum shift keying.

Jose Maria Giron-Sierra, “Digital Signal Processing with Matlab Examples, Volume 3: Model-Based Actions and Sparse Representation”

2017 | ISBN-10: 9811025398 | 448 pages | EPUB | 8 MB

This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.
The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.

Bogdan Dumitrescu, “Positive Trigonometric Polynomials and Signal Processing Applications”

English | 2017 | 2nd ed. | ISBN-10: 3319536877 | 276 pages | EPUB | 5 MB

This book gathers the main recent results on positive trigonometric polynomials within a unitary framework. The book has two parts: theory and applications. The theory of sum-of-squares trigonometric polynomials is presented unitarily based on the concept of Gram matrix (extended to Gram pair or Gram set). The applications part is organized as a collection of related problems that use systematically the theoretical results.

“MATLAB: A Ubiquitous Tool for the Practical Engineer” ed. by Clara M. Ionescu

ITexLi | 2017 | ISBN: 953307907X 9789533079073 | 556 pages | PDF | 20 MB

This book is written for both engineering students, as well as for practicing engineers. The wide range of applications in which MATLAB is the working framework, shows that it is a powerful, comprehensive and easy-to-use environment for performing technical computations.
The book includes various excellent applications in which MATLAB is employed: from pure algebraic computations to data acquisition in real-life experiments, from control strategies to image processing algorithms, from graphical user interface design for educational purposes to Simulink embedded systems.
A well-known statement says that the PID controller is the “bread and butter” of the control engineer. This is indeed true, from a scientific standpoint. However, nowadays, in the era of computer science, when the paper and pencil have been replaced by the keyboard and the display of computers, one may equally say that MATLAB is the “bread” in the above statement. MATLAB has became a de facto tool for the modern system engineer.
Topics:
Part 1 Applied Mathematics
Part 2 Database Development
Part 3 Control Applications
Part 4 Modelling, Identification and Simulation
Part 5 Image Processing
Contents
Preface
1 Effect of the Guess Function & Continuation Method on the Run Time of MATLAB BVP Solvers
2 Revisiting the Ceschino Interpolation Method
3 Matrix Based Operatorial Approach to Differential and Integral Problems
4 Comparison of Methodologies for Analysis of Longitudinal Data Using MATLAB
5 Educational Simulator for Particle Swarm Optimization and Economic Dispatch Applications
6 Decomposition Approach for Inverse Matrix Calculation
7 A Cluster-Based Method for Evaluation of Truck’s Weighing Control Stations
8 The Impact of the Data Archiving File Format on Scientific Computing and Performance of Image Processing Algorithms in MATLAB Using Large HDF5 and XML Multimodal and Hyperspectral Data Sets
9 Energy Management in Buildings Using MATLAB
10 Synchronous Generator Advanced Control Strategies Simulation
11 Design of PSO-Based Optimal/Tunable PID Fuzzy Logic Controller Using FPGA
12 Cascaded NPC/H-Bridge Inverter with Simplified Control Strategy and Superior Harmonic Suppression
13 MATLAB: A Systems Tool for Design of Fuzzy LMI Controller in DC-DC Converters
14 MATLAB as Interface for Intelligent Digital Control of Dynamic Systems
15 A Fuzzy Finite Element Method Programmed in MATLAB for the Analysis of Uncertain Control Systems of Structures
16 Visual and Thermal Image Fusion for UAV Based Target Tracking
17 Research of Fuzzy-Systems of Automatic Frequency and Phase Control on Basis of MATLAB
18 Automotive Sketch Processing in C++ with MATLAB Graphic Library
19 Simulation of Rough Surfaces and Analysis of Roughness by MATLAB
20 MATLAB in Biomodeling
21 Non Linear Algorithm for Automatic Image Processing Applications in FPGAs
22 Using MATLAB to Compute Heat Transfer in Free Form Extrusion
23 MATLAB as a Tool in Nuclear Medicine Image Processing
24 Selected Methods of Image Analysis in Optical Coherence Tomography
25 Image Processing for Optical Metrology