Showing posts with label signal processing. Show all posts
Showing posts with label signal processing. Show all posts

MIMO: From Theory to Implementation Review

MIMO: From Theory to Implementation
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It is not clear from the book description, but this book is certainly not for the beginner in the field of MIMO. It assumes a strong background in DSP, mathematics, and basic understanding of MIMO. In other words, this is an industry book for experts. The book does a great job of covering the basics of MIMO, delving into the advantages of the encoding technique and its evolution over the years. Common MIMO measurements and challenges are discussed thoroughly, and one seeking additional enlightenment can find a huge index of papers and books to which he can refer for further information.
The authors also discuss very specific implementation challenges in addition to the theory, including 802.11N, LTE, and WiMax.
If you are in the industry and want a single book with just about everything you need to know on today's challenges in WiMax, I highly recommend this book. If you are just curious or new, you might want to look elsewhere.

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Foreword from Arogyaswami Paulraj, Professor (Emeritus), Stanford University (USA)

* The first book to show how MIMO principles can be implemented in today's mobile broadband networks and components

* Explains and solves some of the practical difficulties that arise in designing and implementing MIMO systems.

* Both theory and implementation sections are written in the context of the most recent standards: IEEE 802.11n (WiFi); IEEE 802.16 (WIMAX); 4G networks (3GPP/3GPP2, LTE).


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Simulation and Software Radio for Mobile Communications (Artech House Universal Personal Communications) Review

Simulation and Software Radio for Mobile Communications (Artech House Universal Personal Communications)
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Harada & Prasad provide a very good working-level
understanding of how to simulate communication systems
using MATLAB. This book will appeal to advanced
undergraduate and beginning graduate electrical
engineers. It emphasizes nuts&bolts simulation, and
assumes a good working knowledge of communication
system analysis. Professionals who use MATLAB to
analyze communication systems for a living will find
the coverage fairly basic - even shallow - but the
authors well meet their goal of giving beginners a
better leg up on the process. Including their MATLAB
source code on a CD with the book may make the purchase
worthwhile all by itself.

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This resource gives professionals a comprehensive understanding of the simulation and evaluation methods used in the design and development of today's mobile communication systems. Professionals get in-depth discussions on digital modulation techniques, transmission schemes, discusses multiple access protocols, cellular telecommunication systems, and cutting-edge software radio communication systems.

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A Foundation in Digital Communication Review

A Foundation in Digital Communication
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This book is for the serious student/engineer/scientist that has a solid foundation in math. For such a person this book is a tremendous tool. It explains in the most rigorous way all concepts in the basis of digital comm. No ambiguities are left. Everything is rigorously introduced. I felt like many concepts are more clear now and if you assimilate the material, you'll gain more confidence in dealing with the concepts of digital comm. The author is not afraid of proving important results no matter how long the proof is.
As a unique characteristic (I've read the first 400 pages so far) I could not find but just 1 typo! If you compare this to books like proakis, gallager, goldsmith, Tse, these books have pages and pages of typos. You're almost afraid to start reading them...
With Lapidoth you're in solid ground. Overall a great achievement. I wish and hope that prof. Lapidoth will write a couple of more books on wireless communications, a hot topic where still I cannot find an exceptional textbook (there are several ones that are OK but still with so many errors...).

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This intuitive yet rigourous introduction derives the core results of digital communication from first principles. Theory, rather than industry standards, motivates the engineering approaches, and key results are stated with all the required assumptions. The book emphasizes the geometric view, opening with the inner product, the matched filter for its computation, Parseval's theorem, the sampling theorem as an orthonormal expansion, the isometry between passband signals and their baseband representation, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM). Subsequent chapters address noise, hypothesis testing, Gaussian stochastic processes, and the sufficiency of the matched filter outputs. Uniquely, there is a treatment of white noise without generalized functions, and of the power spectral density without artificial random jitters and random phases in the analysis of QAM. This systematic and insightful book, with over 300 exercises, is ideal for graduate courses in digital communication, and for anyone asking 'why' and not just 'how'.

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RF and Digital Signal Processing for Software-Defined Radio: A Multi-Standard Multi-Mode Approach Review

RF and Digital Signal Processing for Software-Defined Radio: A Multi-Standard Multi-Mode Approach
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Some obvious errors worry me. For instance, the equations in Section 7.3.1 (Loop Detector) are not consistent with the diagram of the system on which they are based: Figure 7.9 (the AGC Loop). One glaring problem is that a signal sample v(n) enters a delay z^-1 and comes out as a future sample v(n+1). This does not inspire confidence. Furthermore, trying to correct an author's errors while trying to learn the material is unwanted, extra and misapplied effort.

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Digital Signal Processing with Examples in MATLAB®, Second Edition (Electrical Engineering & Applied Signal Processing Series) Review

Digital Signal Processing with Examples in MATLABĀ®, Second Edition (Electrical Engineering and Applied Signal Processing Series)
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I used this book for a first course on DSP. This book is very practical. It is loaded with Matlab algorithms that will make your discrete signal processing simulation development enjoyable and challenging.
The Matlab examples cover just about every thing encountered in DSP development. It covers statistical signal analysis, adaptive filter design, FIR, IIR and other important topics.
Readers of this book should download the entire code examples used in this book off the website assigned to this book.

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Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics. Updated and expanded, Digital Signal Processing with Examples in MATLAB, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation.New to the Second EditionDiscussion of current DSP applications New chapters on analog systems models and pattern recognition using support vector machinesNew sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling A more comprehensive table of transformsDeveloping the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.

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Signals & Systems Demystified Review

Signals and Systems Demystified
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Over all I thought this was a great book. It reviewed the basics I learned in signals and systems over six years ago and taught me some new concepts I wasn't yet aware of. One piece of evidence I have for the quality of this book is: after reading it I was able to pick up a technical journal and felt like I understood most of what they were talking about. Before reading the book I was lost in the technical journals. The math was a little frustrating, but that was simply because I needed to refresh on some things I've forgotten. If you get this book, make sure you work through the problems, it will help out a lot.
Now, I did feel that the book had a few superficial flaws that should be cleaned up for the next printing. The biggest flaws were the lack of tables. The book even refers to Appendix A and Appendix B, and they don't exist in the book I have. (Page 220 refers to Appendix B, and page 118 refers to Appendix A.) These tables really aren't needed, if you are sitting in front of a computer, but if you are reading this book on the plane during takeoff you may feel lost without those tables. I also feel it would be helpful to add a third appendix of common trig identities.
Overall it is a great book.


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Signals and Systems Laboratory with MATLAB Review

Signals and Systems Laboratory with MATLAB
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This book provides a very efficient way to the direct adoption of fundamental concepts and the implementation of advanced techniques in Signal Processing (SP).
Although one can find plenty of books in the market covering aspects of SP in a pure theoretical sense and also several others teaching the MATLAB language itself in a function-to-function basis, however it is very difficult to identify a single handbook oriented mainly toward the direct implementation of SP techniques. Since SP is a prerequisite for many scientific fields of engineering and other applied sciences, it is very frequent that many times we cannot proceed very easily in the completion of a task or a project, since basic concepts related to the signal nature are missing (e.g. Frequency Response, Sampling Theory, Discrete Fourier Transform (DFT) etc). On the other hand, several people interested in the area, especially students, find it really difficult to follow the mathematic manipulations found in the literature or being taught in the class, since they cannot "play" with the signal in a try-and-error way.
This book is novel in the sense that it smoothly bridges the gap between theory of SP and practice in terms of implementation through simple MATLAB commands. The reader can easily grab a concept related to SP, either simple or advanced, by studying the corresponding compact theoretical background (without being confused with generalities or unnecessary details) and looking at the provided examples along with the given graphs in order to visualize the effect of the SP action. Additionally, with just a few commands typed in the MATLAB Command Window, he/she can effortlessly reproduce the same results that can be used as a basis for further processing. However, it is evident, that if the potential reader wants to focus much further on a specific concept/technique, then this material has to be accompanied by a more theoretical oriented SP book.
I absolutely recommend this handbook to everyone that can understand the value of the top-to-bottom approach in the study!

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Space-Time Coding: Theory and Practice Review

Space-Time Coding: Theory and Practice
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I learned the essence of MIMO by reading this book. It is in simple words and yet backed by math formula.

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This book covers the fundamental principles of space-time coding for wireless communications over multiple-input multiple-output (MIMO) channels, and sets out practical coding methods for achieving the performance improvements predicted by the theory. The theory and practice sections can be used independently of each other. Written by one of the inventors of space-time block coding, this volume is ideal for a graduate student familiar with the basics of digital communications, and for engineers implementing the theory in real systems.

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Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK Review

Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK
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It is good, with a lot of examples in matlab and c, maybe, it should take more care about the erratas in c code, because there are some errors that can confuse very much when you are developping a project.

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From personal music players to anti-lock brakes and advanced digital flight controllers, the demand for real-time digital signal processing (DSP) continues to grow. Mastering real-time DSP is one of the most challenging and time-consuming pursuits in the field, exacerbated by the lack of a resource that solidly bridges the gap between theory and practice. Recognizing that there is a better way forward, accomplished experts Welch, Wright, and Morrow offer Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK.This book collects all of the necessary tools in a single, field-tested source of unrivaled authority. The authors seamlessly integrate theory with easy-to-use, inexpensive hardware and software tools in an approachable and hands-on manner. Using abundant examples and exercises in a step-by-step approach, they work from familiar interfaces such as MATLAB to running algorithms in real-time on industry-standard DSP hardware. For each concept, the book uses a four-step methodology: a brief review of relevant theory; demonstration of the concept in winDSK6, an easy-to-use software tool; explanation and demonstration of MATLAB techniques for implementation; and explanation of the necessary C code to implement the algorithms in real time.Covering a broad spectrum of topics in a hands-on, concise, and approachable way, Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSK paves the way toward mastery of real-time DSP. Essential source code is available for download.

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Wireless Sensor Networks: A Networking Perspective Review

Wireless Sensor Networks: A Networking Perspective
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There has been a lot of research done on Wireless Sensor Networks and the editors of this book give us a timely [circa 2010] perspective on the field.
In each chapter we see big differences between a WSN and a traditional wired network of machines. The most significant is the low power on a sensor in a WSN. Often, sensors might be scattered over some region, where each sensor has a battery and the battery cannot be replaced or recharged. We also see that communication power typically is greater than computational power inside a sensor. So many algorithms in the book stress clever ways to reduce the amount of time that a sensor is transmitting or receiving.
Another approach is with a heterogeneous network of sensors and actors [WSAN]. The actors are nodes with more power, so that they can do more computing than a generic leaf sensor, and they can often have a greater communication range. This takes advantage of the situation where we have a dense sensor network, and sensors around some event of interest might have redundant data. An actor might only solicit data from a few sensors around the event, saving precious energy on the other sensors.
A protocol stack can be used for a WSN. But one interesting suggestion is that the very modularity of the protocol approach leads to inefficiency. Thus the idea of a cross layer design, where several protocol layers might be merged. One problem however arises if you want to simulate this. Existing network simulators that have been used for WSN invariably use a protocol stack. A completely new simulator might have to be coded to test a mooted cross layer design.
One slight disappointment about the book was the lack of actual case studies of military WSNs. These were only mentioned en passant. It would have been neat to get more details about actual military deployed WSNs, if such data are publicly available.

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Learn the fundamental concepts, major challenges, and effective solutions in wireless sensor networking
This book provides a comprehensive and systematic introduction to the fundamental concepts, major challenges, and effective solutions in wireless sensor networking (WSN). Distinguished from other books, it focuses on the networking aspects of WSNs and covers the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, network security, and sensor network standards.
With contributions from internationally renowned researchers, Wireless Sensor Networks expertly strikes a balance between fundamental concepts and state-of-the-art technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academic researchers, research engineers, and practitioners in industry. It is also suitable as a textbook or supplementary reading for electrical engineering, computer engineering, and computer science courses at the graduate level.

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OFDM Baseband Receiver Design for Wireless Communications Review

OFDM Baseband Receiver Design for Wireless Communications
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For some reason I thought this would be a "direct from RF to baseband" OFDM receiver design book, including example circuitry, etc.. Instead it does not cover any RF modulation/demodulation issues, other than to show a block diagram including "RF TX" and "RF TX" (a typo, should be "RF RX"). English is choppy in spots, but completely understandable. If you are looking for lots of theory and diagrams concerning the many aspects of OFDM receiver design, this is a good book. If you are looking for anything hardware related, or even RF mod/demod issues, you will be disappointed.

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Signal Processing for Wireless Communications Review

Signal Processing for Wireless Communications
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This book is the "BEST" book I have ever seen in wireless technology with "practical" physical layer design focus. It is not surprising to see the author coming from rich industrial experience, I can see that easily in the book. I highly recommend the book for physical layer designers.

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MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design Review

MIMO Wireless Communications: From Real-World Propagation to Space-Time Code Design
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There are quite a few books out there on MIMO systems. Naturally, this book contains most of the "traditional" MIMO material, including capacity derivations, space-time codes, and MIMO-OFDM. Yet, in my opinion, it is distinctive in two ways. First of all, from a technical point of view, this is one of the few books that covers realistic MIMO channel models in detail, and ties in those models with the design of MIMO transmission systems. I am by no means an expert on channel modeling, but found the explanations of the different models enlightening and very intuitive. Secondly, from an organizational point of view, this book is written by just two authors. This makes this book vastly more coherent, logical, and structured than other MIMO books, many of which are edited volumes, or written by a large team of authors.

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Uniquely, this book proposes robust space-time code designs for real-world wireless channels. Through a unified framework, it emphasizes how propagation mechanisms such as space-time frequency correlations and coherent components impact the MIMO system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time coding, the book progressively derives innovative designs, taking into consideration that MIMO channels are often far from ideal.The various chapters of this book provide an essential, complete and refreshing insight into the performance behaviour of space-time codes in realistic scenarios and constitute an ideal source of the latest developments in MIMO propagation and space-time coding for researchers, R&D engineers and graduate students.Features include. Physical models and analytical representations of MIMO propagation channels, highlighting the strengths and weaknesses of various models. Overview of space-time coding techniques, covering both classical and more recent schemes under information theory and error probability perspectives. In-depth presentation of how real-world propagation affects the capacity and the error performance of MIMO transmission schemes. Innovative and practical designs of robust space-time coding, precoding and antenna selection techniques for realistic propagation (including single-carrier and MIMO-OFDM transmissions)"This book offers important insights into how space-time coding can be tailored for real-world MIMO channels. The discussion of MIMO propagation models is also intuitive and well-developed."Arogyaswami J. Paulraj, Professor, Stanford University, CA"Finally a book devoted to MIMO from a new perspective that bridges the boundaries between propagation, channel modeling, signal processing and space-time coding. It is of high reference value, combining intuitive and conceptual explanations with detailed, stringent derivations of basic facts of MIMO." Ernst Bonek, Emeritus Professor, Technische Universität Wien, Austria* Presents space-time coding techniques for real-world MIMO channels* Contains new design methodologies and criteria that guarantee the robustness of space-time coding in real life wireless communications applications* Evaluates the performance of space-time coding in real world conditions

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Modern Wireless Communications Review

Modern Wireless Communications
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I am a student using this book for a wireless systems class. It does a pretty decent job of explaining the concepts in words. However, the problems are poorly written, many of the figures and equations are wrong, and the examples given in the book are not sufficient for learning how to actually do the problems.

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