DSP software development techniques for embedded and real-time systems [[electronic resource] /] / by Robert Oshana

• Record Nr.: UNINA9910784359403321
• Autore: Oshana Robert
• Pubbl/distr/stampa: Amsterdam ; ; Boston, : Elsevier/Newnes, c2006
• ISBN: 1-281-00681-5; 9786611006815; 0-08-049119-7
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (600 p.)
• Collana: Embedded technology series
• Disciplina: 621.382/2 22; 621.3822
• Soggetti: Signal processing - Digital techniques; Embedded computer systems; Computer software - Development
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front cover; Title page; Table of Contents; Acknowledgments; Introduction: Why Use a DSP?; What is Digital Signal Processing; 1 Introduction to Digital Signal Processing; A Brief History of Digital Signal Processing; Advantages of DSP; DSP Systems; Analog-to-Digital Conversion; Digital-to-Analog Conversion; Applications for DSPs; Low-Cost DSP Applications; Power Efficient DSP Applications; High Performance DSP Applications; Conclusion; References; Introduction; Real-Time Systems; 2 Overview of Embedded Systems and Real-Time Systems; Hard Real-Time and Soft Real-Time Systems; DSP Systems are Hard Real-TimeEfficient Execution and the Execution Environment; Challenges in Real-Time System Design; Response Time; Recovering from Failures; Distributed and Multiprocessor Architectures; Embedded Systems; Summary; Embedded Systems; 3 Overview of Embedded Systems Development Life Cycle Using DSP; The Embedded System Life Cycle Using DSP; Step 1-Examine the Overall Needs of the System; Step 2-Select the Hardware Components Required for the System; Hardware Gates; Software-Programmable; General-Purpose Processors; Microcontrollers; FPGA Solutions; Digital Signal Processors; A General Signal Processing SolutionDSP Acceleration Decisions; Step 3-Understand DSP Basics and Architecture; Models of DSP Processing; Input/Output Options; Calculating DSP Performance; DSP Software; DSP Frameworks; Definition of an Algorithm; 4 Overview of Digital Signal Processing Algorithms; DSP Systems; Analog-to-Digital Conversion; An Audio Example; The Nyquist Criteria; Aliasing; Anti-Aliasing Filter; Sample Rate and Processor Speed; A to D Converters; Digital-to-Analog Conversion; Multirate Applications; Summary of Sampling; Introduction to Filters; Summary of Filter Types; Finite Impulse Response (FIR) FiltersFIR Filters as Moving Averages; A Simple FIR; Generalizing the Idea; Hardware Implementation (or Flow Diagram); Basic Software Implementation; FIR Filter Characteristics; Adaptive FIR Filter; Designing and Implementing FIRs Filters; Basic FIR Optimizations for DSP Devices; Summary of FIR Filters; Infinite Impulse Response Filters; IIR As a Difference Equation; IIR As a Transfer Function; IIR Filter Design; IIR Trade-Offs; DSP Architecture Optimization for Filter Implementation; Fast Fourier Transforms; Time vs. Frequency; The Discrete Fourier Transform (DFT)The Fast Fourier Transform (FFT); The Butterfly Structure; Forms of the FFT Algorithm; FFT Implementation Issues; Summary; Fast, Specialized Arithmetic; 5 DSP Architectures; High Bandwidth Memory Architectures; Data and Instruction Memories; Memory Options; High Speed Registers; Memory Interleaving; Bank Switching; Caches for DSPs; Execution Time Predictability; Direct Memory Access (DMA); DMA Example; Pipelined Processing; Limitations; Resource Conflicts; Pipeline Control; Specialized Instructions and Address Modes; Circular Addressing; Bit-Reversed Addressing
• Sommario/riassunto: Today's embedded and real-time systems contain a mix of processor types: off-the-shelf microcontrollers, digital signal processors (DSPs), and custom processors. The decreasing cost of DSPs has made these sophisticated chips very attractive for a number of embedded and real-time applications, including automotive, telecommunications, medical imaging, and many others-including even some games and home appliances. However, developing embedded and real-time DSP applications is a complex task influenced by many parameters and issues. This introduction to DSP software development for embedd