Smartphone-based real-time digital signal processing

Preface
Introduction
	Smartphone Implementation Tools
	Smartphone Implementation Shells
		Android Implementation
		iOS Implementation
	Overview of ARM Processor Architecture
		Data Flow and Registers
	Organization of Chapters
	Software Package of Lab Codes
	References
Android Software Development Tools
	Installation Steps
		Java JDK
		Android Studio Bundle and Native Development Kit
		Environment Variable Configuration
		Android Studio Configuration
		Android Emulator Configuration
		Android Studio Setup for Mac
	LAB 1:  Getting Familiar with Android Software Tools
		Lab Exercise
iOS Software Development Tools
	App Development
	Setting-Up App Environment
	Creating Layout
	Implementing C Codes
	Executing C Codes via Objective-C
	Swift Programming Language
	LAB 2:  iPhone App Debugging
		Lab Exercise
Analog-to-Digital Signal Conversion
	Sampling
	Quantization
	LAB 3:  Android Audio Signal Sampling
		Demo Application
		Application Code
		Recording
		Processing.java
		JNI Native C Code
		Superpowered SDK
		Multi-Threading
		Multi-Rate Signal Processing
		Lab Exercises
	LAB 4:  iPhone Audio Signal Sampling
		App Source Code
		App Code Discussion
		Recording
		Native C Code
		Multi-Threading
		Multi-Rate Signal Processing
		Lab Exercises
	References
Fixed-Point vs. Floating-Point
	Q-Format Number Representation
	Floating-Point Number Representation
	Overflow and Scaling
	Some Useful Arithmetic Operations
		Division
		Sine and Cosine
		Square Root
	LAB 5:  Fixed-Point and Floating-Point Operations
		App Structure
		NEON SIMD Coprocessor
		Lab Exercises
	References
Real-Time Filtering
	FIR Filter Implementation
	Circular Buffering
	Frame Processing
	Finite Word Length Effect
	LAB 6:   Real-Time FIR Filtering, Quantization Effect, and Overflow
		Filter Design
		ARM Overflow Detection
		Lab Exercises
	References
Adaptive Filtering
	Infinite Impulse Response Filters
	Adaptive Filtering
	LAB 7:  IIR Filtering and Adaptive FIR Filtering
		IIR Filter Design
		Adaptive FIR Filter
		Lab Exercises
	References
Domain Transforms
	Fourier Transforms
		Discrete Fourier Transform
		Fast Fourier Transform
	Leakage
	Windowing
	Overlap Processing
	Reconstruction
		Inverse Fourier Transform
		Overlap-Add Reconstruction
	LAB 8: Frequency Domain Transforms – DFT and FFT
		Lab Exercises
	References
Code Optimization
	Code Timing
	Linear Convolution
	Compiler Options
	Efficient C Code Writing
	Architecture-Specific Optimizations
		Target Architecture
		ARM Hardware Capabilities
		NEON Intrinsics
	LAB 9:   Code Optimization
		Compiler Options
		Target Architecture (Android Only)
		Code Modification
	References
Implementation via MATLAB Coder
	MATLAB Function Design
	Test Bench
	Code Generation
	Source Code Integration
	Summary
	LAB 10:  Matlab Coder Implementation
		Lab Exercises
	References
Authors' Biographies
Index