Titlebook: Smartphone-Based Real-Time Digital Signal Processing, Third Edition; Nasser Kehtarnavaz,Abhishek Sehgal,Arian Azarang Book 2020Latest edit

觀點(diǎn)

Analog-to-Digital Signal Conversion,es. Sampling and quantization constitute the steps needed to achieve analog-to-digital signal conversion. To minimize any loss of information that may occur as a result of this conversion, it is important to understand the underlying principles behind sampling and quantization.

CURT

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.

Memorial

squander

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 toward achieving real-time filtering implementation on the ARM processor of a smartphone.

Volatile-Oils

angiography

Domain Transforms,Frequency domain transforms are extensively used in signal processing applications. In this chapter, the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT), which is the computationally efficient version of the DFT, are covered.

Liability

OPINE

Implementation via MATLAB Coder,ar convolution filtering algorithm. Considering that MATLAB programming is widely used in signal processing, the approach presented in this chapter allows running on smartphones many signal processing algorithms which are already written in MATLAB and publicly available.

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Introduction,orithms on DSP boards, e.g., [1—6]. This book is written to provide an alternative hardware platform which students can use in an anywhere-anytime manner and at no cost as it is already in their possession, that being their own smartphones.

Instinctive

Fixed-Point vs. Floating-Point, the CPU possesses the necessary hardware for manipulating both of these parts. As a result, in general, floating-point operations involve more logic elements (larger ALU) and more cycles (more time) to manipulate floating-point values.