观点
发表于 2025-3-27 00:59:22
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
发表于 2025-3-27 04:07:39
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
发表于 2025-3-27 08:09:15
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squander
发表于 2025-3-27 12:48:27
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
发表于 2025-3-27 16:15:49
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angiography
发表于 2025-3-27 19:25:40
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
发表于 2025-3-28 01:48:14
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OPINE
发表于 2025-3-28 02:51:10
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.
Expand
发表于 2025-3-28 07:29:12
Introduction,orithms on DSP boards, e.g., . 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
发表于 2025-3-28 13:40:37
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.