Central Library, Indian Institute of Technology Delhi
केंद्रीय पुस्तकालय, भारतीय प्रौद्योगिकी संस्थान दिल्ली

Smartphone-based real-time digital signal processing / Nasser Kehtarnavaz, Abhishek Sehgal, Shane Parris, Arian Azarang.

By: Kehtarnavaz, Nasser [author.]Contributor(s): Sehgal, Abhishek [author.] | Parris, Shane [author.] | Azarang, Arian [author.]Material type: TextTextSeries: Synthesis digital library of engineering and computer science | Synthesis lectures on signal processing ; #19.Publisher: San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, [2020]Edition: Third editionDescription: 1 PDF (xii, 160 pages) : illustrations (some color)Content type: text Media type: electronic Carrier type: online resourceISBN: 9781681739465Subject(s): Signal processing -- Digital techniques | Smartphones | Real-time data processing | smartphone-based signal processing | real-time signal processing using smartphones | smartphones as signal processing boardsGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 621.3822 LOC classification: TK5102.9 | .K447 2020ebOnline resources: Abstract with links to full text | Abstract with links to resource Also available in print.
Contents:
1. Introduction -- 1.1. Smartphone implementation tools -- 1.2. Smartphone implementation shells -- 1.3. Overview of ARM processor architecture -- 1.4. Organization of chapters -- 1.5. Software package of lab codes -- 1.6. References
2. Android software development tools -- 2.1. Installation steps
3. iOS software development tools -- 3.1. App development -- 3.2. Setting-up app environment -- 3.3. Creating layout -- 3.4. Implementing C codes -- 3.5. Executing C codes via Objective-C -- 3.6. Swift programming language
4. Analog-to-digital signal conversion -- 4.1. Sampling -- 4.2. Quantization -- 4.5. References
5. Fixed-point vs. Floating-point -- 5.1. Q-format number representation -- 5.2. Floating-point number representation -- 5.3. Overflow and scaling -- 5.4. Some useful arithmetic operations -- 5.6. References
6. Real-time filtering -- 6.1. Fir filter implementation -- 6.2. Circular buffering -- 6.3. Frame processing -- 6.4. Finite word length effect -- 6.6. References
7. Adaptive filtering -- 7.1. Infinite impulse response filters -- 7.2. Adaptive filtering -- 7.4. References
8. Domain transforms -- 8.1. Fourier transforms -- 8.2. Leakage -- 8.3. Windowing -- 8.4. Overlap processing -- 8.5. Reconstruction -- 8.7. References
9. Code optimization -- 9.1. Code timing -- 9.2. Linear convolution -- 9.3. Compiler options -- 9.4. Efficient C code writing -- 9.5. Architecture-specific optimizations -- 9.7. References
10. Implementation via MATLAB Coder -- 10.1. MATLAB function design -- 10.2. Test bench -- 10.3. Code generation -- 10.4. Source code integration -- 10.5. Summary -- 10.7. References.
Summary: Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how to use smartphones as hardware boards for real-time implementation of signal processing algorithms, thus providing an alternative to the hardware boards that are used in signal processing laboratory courses. The fact that mobile devices, in particular smartphones, have become powerful processing platforms led to the development of this book to enable students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or real-time signal processing courses to smartphones creates a truly flexible laboratory experience or environment for students. In addition, it relieves the cost burden associated with using dedicated signal processing boards noting that the software development tools for smartphones are free of charge and are well-maintained by smartphone manufacturers. This book is written in such a way that it can be used as a textbook for real-time or applied digital signal processing courses offered at many universities. Ten lab experiments that are commonly encountered in such courses are covered in the book. It is written primarily for those who are already familiar with signal processing concepts and are interested in their real-time and practical aspects. Similar to existing real-time courses, knowledge of C programming is assumed. This book can also be used as a self-study guide for those who wish to become familiar with signal processing app development on either Android or iOS smartphones/tablets. A zipped file of the codes discussed in the book can be acquired from this third-party website: http://sites.fastspring.com/bookcodes/product/SignalProcessingBookcodesThirdEdition
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references and index.

1. Introduction -- 1.1. Smartphone implementation tools -- 1.2. Smartphone implementation shells -- 1.3. Overview of ARM processor architecture -- 1.4. Organization of chapters -- 1.5. Software package of lab codes -- 1.6. References

2. Android software development tools -- 2.1. Installation steps

3. iOS software development tools -- 3.1. App development -- 3.2. Setting-up app environment -- 3.3. Creating layout -- 3.4. Implementing C codes -- 3.5. Executing C codes via Objective-C -- 3.6. Swift programming language

4. Analog-to-digital signal conversion -- 4.1. Sampling -- 4.2. Quantization -- 4.5. References

5. Fixed-point vs. Floating-point -- 5.1. Q-format number representation -- 5.2. Floating-point number representation -- 5.3. Overflow and scaling -- 5.4. Some useful arithmetic operations -- 5.6. References

6. Real-time filtering -- 6.1. Fir filter implementation -- 6.2. Circular buffering -- 6.3. Frame processing -- 6.4. Finite word length effect -- 6.6. References

7. Adaptive filtering -- 7.1. Infinite impulse response filters -- 7.2. Adaptive filtering -- 7.4. References

8. Domain transforms -- 8.1. Fourier transforms -- 8.2. Leakage -- 8.3. Windowing -- 8.4. Overlap processing -- 8.5. Reconstruction -- 8.7. References

9. Code optimization -- 9.1. Code timing -- 9.2. Linear convolution -- 9.3. Compiler options -- 9.4. Efficient C code writing -- 9.5. Architecture-specific optimizations -- 9.7. References

10. Implementation via MATLAB Coder -- 10.1. MATLAB function design -- 10.2. Test bench -- 10.3. Code generation -- 10.4. Source code integration -- 10.5. Summary -- 10.7. References.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how to use smartphones as hardware boards for real-time implementation of signal processing algorithms, thus providing an alternative to the hardware boards that are used in signal processing laboratory courses. The fact that mobile devices, in particular smartphones, have become powerful processing platforms led to the development of this book to enable students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or real-time signal processing courses to smartphones creates a truly flexible laboratory experience or environment for students. In addition, it relieves the cost burden associated with using dedicated signal processing boards noting that the software development tools for smartphones are free of charge and are well-maintained by smartphone manufacturers. This book is written in such a way that it can be used as a textbook for real-time or applied digital signal processing courses offered at many universities. Ten lab experiments that are commonly encountered in such courses are covered in the book. It is written primarily for those who are already familiar with signal processing concepts and are interested in their real-time and practical aspects. Similar to existing real-time courses, knowledge of C programming is assumed. This book can also be used as a self-study guide for those who wish to become familiar with signal processing app development on either Android or iOS smartphones/tablets. A zipped file of the codes discussed in the book can be acquired from this third-party website: http://sites.fastspring.com/bookcodes/product/SignalProcessingBookcodesThirdEdition

Also available in print.

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