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Titlebook: Smartphone-Based Real-Time Digital Signal Processing; Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal Book 2015 Springer Nature Switzerlan

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书目名称Smartphone-Based Real-Time Digital Signal Processing
编辑Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal
视频video
丛书名称Synthesis Lectures on Signal Processing
图书封面Titlebook: Smartphone-Based Real-Time Digital Signal Processing;  Nasser Kehtarnavaz,Shane Parris,Abhishek Sehgal Book 2015 Springer Nature Switzerlan
描述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 smartphones can be used as hardware boards for real-time implementation of signal processing algorithms as an alternative to the hardware boards that are currently being used in signal processing teaching laboratories. The fact that mobile devices, in particular smartphones, have now become powerful processing platforms has led to the development of this book, thus enabling 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 curren
出版日期Book 2015
版次1
doihttps://doi.org/10.1007/978-3-031-02537-2
isbn_ebook978-3-031-02537-2Series ISSN 1932-1236 Series E-ISSN 1932-1694
issn_series 1932-1236
copyrightSpringer Nature Switzerland AG 2015
The information of publication is updating

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Springer Nature Switzerland AG 2015
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Android Software Development Tools,This chapter covers the required steps to install the software tools for the development of C codes on Android smartphones. In Chapter 3, the iOS version for iPhone smartphones is covered.
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Real-Time Filtering,For carrying out real-time filtering, it is required to know how to acquire input samples, process them and provide the result. This chapter addresses these issues towards achieving real-time filtering implementation on the ARM processor of a smartphone.
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Frequency Domain Transforms,Frequency domain transforms are extensively used in signal processing applications. In this chapter, the Discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT) which is the computationally efficient version of the DFT, are covered.
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