Publisher's Synopsis
DSPs have been used in accelerators since the mid-1980s. Typical uses include diagnostics, machine protection and feedforward/feedback control. In diagnostics, DSPs implement beam tune, intensity, emittance and position measurement systems. For machine protection, DSPs are used in beam current and beam loss monitors. For control, DSPs often implement beam controls, a complex task where beam dynamics plays an important factor for the control requirements and implementations. Other types of control include motor control, such as collimation or power converter control and regulation. DSPs appeared on the market in the early 1980s. Since then, they have undergone an intense evolution in terms of hardware features, integration, and software development tools. DSPs are now a mature technology. An important application of digital signal processing methods is in determining in the discrete-time domain the frequency contents of a continuous-time signal, more commonly known as spectral analysis. More specifically, it involves the determination of either the energy spectrum or the power spectrum of the signal. Applications of digital spectral analysis can be found in many fields and are widespread. The improvement of DSP software tools from the early days until now has been spectacular. Code compilers have evolved greatly to be able to deal with the underlying hardware complexity and the enhanced DSP architectures. At the same time, they allow the developer to program more and more efficiently in high-level languages as opposed to assembly coding. This speeds up considerably the code development time and makes the code itself more portable across different platforms. Advanced tools now allow the programming of DSPs graphically, i.e., by interconnecting pre-defined blocks that are then converted to DSP code. Examples of these tools are MATLAB Code Generation and embedded target products and National Instruments' LabVIEW DSP Module. High-performance simulators, emulator and debugging facilities allow the developer to have a high visibility into the DSP with little or no interference on the program execution. Additionally, multiple DSPs can be accessed in the same JTAG chain for both code development and debugging. Digital Signal Processing- System Analysis and Design deals with a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices. The typical system design flow is described; common difficulties, problems and choices faced by DSP developers are outlined. DSPs have been used in accelerators since the mid-1980s. Typical uses include diagnostics, machine protection and feedforward/feedback control. In diagnostics, DSPs implement beam tune, intensity, emittance and position measurement systems. For machine protection, DSPs are used in beam current and beam loss monitors. For control, DSPs often implement beam controls, a complex task where beam dynamics plays an important factor for the control requirements and implementations. Other types of control include motor control, such as collimation or power converter control and regulation. DSPs appeared on the market in the early 1980s. Since then, they have undergone an intense evolution in terms of hardware features, integration, and software development tools. DSPs are now a mature technology. An important application of digital signal processing methods is in determining in the discrete-time domain the frequency contents of a continuous-time signal, more commonly known as spectral analysis. More specifically, it involves the determination of either the energy spectrum or the power spectrum of the signal. Applications of digital spectral analysis can be found in many fields and are widespread. The improvement of DSP software tools from the early days until now has been spectacular. Code compilers have evolved greatly to be able to deal with the underlying hardware complexity and the enhanced DSP architectures. At the same time, they allow the developer to program more and more efficiently in high-level languages as opposed to assembly coding. This speeds up considerably the code development time and makes the code itself more portable across different platforms. Advanced tools now allow the programming of DSPs graphically, i.e., by interconnecting pre-defined blocks that are then converted to DSP code. Examples of these tools are MATLAB Code Generation and embedded target products and National Instruments' LabVIEW DSP Module. High-performance simulators, emulator and debugging facilities allow the developer to have a high visibility into the DSP with little or no interference on the program execution. Additionally, multiple DSPs can be accessed in the same JTAG chain for both code development and debugging. Digital Signal Processing- System Analysis and Design deals with a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices. The typical system design flow is described; common difficulties, problems and choices faced by DSP developers are outlined. DSPs have been used in accelerators since the mid-1980s. Typical uses include diagnostics, machine protection and feedforward/feedback control. In diagnostics, DSPs implement beam tune, intensity, emittance and position measurement systems. For machine protection, DSPs are used in beam current and beam loss monitors. For control, DSPs often implement beam controls, a complex task where beam dynamics plays an important factor for the control requirements and implementations. Other types of control include motor control, such as collimation or power converter control and regulation. DSPs appeared on the market in the early 1980s. Since then, they have undergone an intense evolution in terms of hardware features, integration, and software development tools. DSPs are now a mature technology. An important application of digital signal processing methods is in determining in the discrete-time domain the frequency contents of a continuous-time signal, more commonly known as spectral analysis. More specifically, it involves the determination of either the energy spectrum or the power spectrum of the signal. Applications of digital spectral analysis can be found in many fields and are widespread. The improvement of DSP software tools from the early days until now has been spectacular. Code compilers have evolved greatly to be able to deal with the underlying hardware complexity and the enhanced DSP architectures. At the same time, they allow the developer to program more and more efficiently in high-level languages as opposed to assembly coding. This speeds up considerably the code development time and makes the code itself more portable across different platforms. Advanced tools now allow the programming of DSPs graphically, i.e., by interconnecting pre-defined blocks that are then converted to DSP code. Examples of these tools are MATLAB Code Generation and embedded target products and National Instruments' LabVIEW DSP Module. High-performance simulators, emulator and debugging facilities allow the developer to have a high visibility into the DSP with little or no interference on the program execution. Additionally, multiple DSPs can be accessed in the same JTAG chain for both code development and debugging. Digital Signal Processing- System Analysis and Design deals with a wide range of applications in which the implementation of high-performance systems to meet stringent requirements and performance constraints is receiving increasing attention both in the industrial and academic contexts. Conceived to be available to a wide audience, the aim of this book is to provide students, researchers, engineers and the industrial community with a guide to the latest advances in emerging issues in the design and implementation of DSP systems for application-specific circuits and programmable devices. The typical system design flow is described; common difficulties, problems and choices faced by DSP developers are outlined.
