Si P微系统是一种高度集成化的系统,其内部可能集成1个或多个DSP、NOR Flash和DDR存储器、AI加速芯片等,有些复杂的微系统还集成了FPGA芯片。由于内部集成了多个微组件,芯片之间相互连接,传统的测试单一微组件的方法并不适用于微系统的...Si P微系统是一种高度集成化的系统,其内部可能集成1个或多个DSP、NOR Flash和DDR存储器、AI加速芯片等,有些复杂的微系统还集成了FPGA芯片。由于内部集成了多个微组件,芯片之间相互连接,传统的测试单一微组件的方法并不适用于微系统的测试。提出了一套DSP微组件测试方法,该系统包括1块专门的测试板、可调试的电脑测试环境和JTAG通信。与单一的DSP裸芯测试相比,它可以快速稳定地实现DSP微组件的性能测试,满足大批量生产测试的需求。展开更多
With the continuous increasing of circuit scale, the problem of power consumption is paid much more attention than before, especially in large designs. In this paper, an experience of optimizing the power consumption ...With the continuous increasing of circuit scale, the problem of power consumption is paid much more attention than before, especially in large designs. In this paper, an experience of optimizing the power consumption of the 16-bit datapath in a 32-bit reconfigurable pipelined Digital Signal Processor (DSP) is introduced. By keeping the old input values and preventing the useless switching of the logic blocks on the datapath, the power consumption is much lowered. At the same time, by relocating some logic blocks between different pipeline stages and employing some data forward logics, a better balanced pipeline is achieved to lower the power consumption for conditional computation instructions at very low timing and area costs. The effectivity of these power optimization technologies are proved by the experimental results. Finally, some ideas about how to reduce the power consumption of circuits are proposed, which are very effective and useful in practice designs, especially in pipelined ones.展开更多
The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques ...The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques such as digital signal processing(DSP)systems are implemented to control motors.These systems are efficient but very expensive for certain applications.From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption.This project presents the design of an adaptive control system for brushless AC induction and DC motors,which is functional to any type of plant in the industry.The design was possible by implementing Matlab software and tools such as digital signal processor(DSP)and Simulink.Through an extensive investigation of the state of the art,three models needed to represent the control system have been specified.The first model for the AC motor,the second for the DC motor and the third for the DSP control;this is done in this way so that the probability of failure is lower.Subsequently,these models have been programmed in Simulink,integrating the three main models into one.In this way,the design of a controller for use in AC induction motors,specifically squirrel cage and brushless DC motors,has been achieved.The final model represents a response time of 0.25 seconds,which is optimal for this type of application,where response times of 2e-3 to 3 seconds are expected.展开更多
In today’s world, the development ofeconomy has led to the continuous developmentand evolution of science and technology. Computertechnology and large-scale integration technologyhave been well developed and applied,...In today’s world, the development ofeconomy has led to the continuous developmentand evolution of science and technology. Computertechnology and large-scale integration technologyhave been well developed and applied, followed by thetechnology of digital signal processing DSP productionand application. In the field of logging, the applicationfunction of this technology plays a key role. It not onlyallows the imaging logging technology to be furtherdeveloped, but also enables fast and accurate processingof downhole signals. Therefore, among many loggingtools today, digital signal processing DSPs have beenwidely used, and their functions have been fullyutilized. This paper analyzes the application of signalprocessor DSP in logging instruments. It is hoped thatit can play a reference role in the good application anddevelopment of logging instruments.展开更多
针对视频信号处理需求,设计一种基于数字信号处理器(Digital Signal Processor,DSP)的高清远程视频通信监控系统。首先从系统架构、DSP选择与配置、视频信号采集与预处理等方面进行详细设计,其次介绍DSP的编程与实现及系统集成与调试过...针对视频信号处理需求,设计一种基于数字信号处理器(Digital Signal Processor,DSP)的高清远程视频通信监控系统。首先从系统架构、DSP选择与配置、视频信号采集与预处理等方面进行详细设计,其次介绍DSP的编程与实现及系统集成与调试过程,最后结合仿真与性能分析,验证了系统在实际应用中的可行性与优越性。展开更多
就电动机变频调速自动控制系统的设计与实现展开研究。首先,给出了电动机变频调速自动控制系统整体框架,并详细阐述了数字信号处理器(Digital Signal Processor,DSP)技术。在软件设计部分,针对DSP技术存在控制复杂度高的问题,引入比例-...就电动机变频调速自动控制系统的设计与实现展开研究。首先,给出了电动机变频调速自动控制系统整体框架,并详细阐述了数字信号处理器(Digital Signal Processor,DSP)技术。在软件设计部分,针对DSP技术存在控制复杂度高的问题,引入比例-积分-微分(Proportional-Integral-Derivative,PID)控制策略简化控制流程,并提出了基于模糊控制的电动机变频调速自动控制方法,以实现更精确的变频调速控制。系统应用测试结果表明,新系统控制误差低至1.2%,波动范围小且故障率低至0.01次/h,使得系统稳定性指数(System Stability Index,SSI)仅为0.95,说明本研究为电动机变频调速领域的自动化和智能化提供了有价值的参考。展开更多
Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving o...Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model （AGMM）. Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.展开更多
文摘With the continuous increasing of circuit scale, the problem of power consumption is paid much more attention than before, especially in large designs. In this paper, an experience of optimizing the power consumption of the 16-bit datapath in a 32-bit reconfigurable pipelined Digital Signal Processor (DSP) is introduced. By keeping the old input values and preventing the useless switching of the logic blocks on the datapath, the power consumption is much lowered. At the same time, by relocating some logic blocks between different pipeline stages and employing some data forward logics, a better balanced pipeline is achieved to lower the power consumption for conditional computation instructions at very low timing and area costs. The effectivity of these power optimization technologies are proved by the experimental results. Finally, some ideas about how to reduce the power consumption of circuits are proposed, which are very effective and useful in practice designs, especially in pipelined ones.
文摘The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques such as digital signal processing(DSP)systems are implemented to control motors.These systems are efficient but very expensive for certain applications.From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption.This project presents the design of an adaptive control system for brushless AC induction and DC motors,which is functional to any type of plant in the industry.The design was possible by implementing Matlab software and tools such as digital signal processor(DSP)and Simulink.Through an extensive investigation of the state of the art,three models needed to represent the control system have been specified.The first model for the AC motor,the second for the DC motor and the third for the DSP control;this is done in this way so that the probability of failure is lower.Subsequently,these models have been programmed in Simulink,integrating the three main models into one.In this way,the design of a controller for use in AC induction motors,specifically squirrel cage and brushless DC motors,has been achieved.The final model represents a response time of 0.25 seconds,which is optimal for this type of application,where response times of 2e-3 to 3 seconds are expected.
文摘In today’s world, the development ofeconomy has led to the continuous developmentand evolution of science and technology. Computertechnology and large-scale integration technologyhave been well developed and applied, followed by thetechnology of digital signal processing DSP productionand application. In the field of logging, the applicationfunction of this technology plays a key role. It not onlyallows the imaging logging technology to be furtherdeveloped, but also enables fast and accurate processingof downhole signals. Therefore, among many loggingtools today, digital signal processing DSPs have beenwidely used, and their functions have been fullyutilized. This paper analyzes the application of signalprocessor DSP in logging instruments. It is hoped thatit can play a reference role in the good application anddevelopment of logging instruments.
文摘针对视频信号处理需求,设计一种基于数字信号处理器(Digital Signal Processor,DSP)的高清远程视频通信监控系统。首先从系统架构、DSP选择与配置、视频信号采集与预处理等方面进行详细设计,其次介绍DSP的编程与实现及系统集成与调试过程,最后结合仿真与性能分析,验证了系统在实际应用中的可行性与优越性。
文摘就电动机变频调速自动控制系统的设计与实现展开研究。首先,给出了电动机变频调速自动控制系统整体框架,并详细阐述了数字信号处理器(Digital Signal Processor,DSP)技术。在软件设计部分,针对DSP技术存在控制复杂度高的问题,引入比例-积分-微分(Proportional-Integral-Derivative,PID)控制策略简化控制流程,并提出了基于模糊控制的电动机变频调速自动控制方法,以实现更精确的变频调速控制。系统应用测试结果表明,新系统控制误差低至1.2%,波动范围小且故障率低至0.01次/h,使得系统稳定性指数(System Stability Index,SSI)仅为0.95,说明本研究为电动机变频调速领域的自动化和智能化提供了有价值的参考。
基金supported by Soongsil University Research Fund and BK 21 of Korea
文摘Foreground moving object detection is an important process in various computer vision applications such as intelligent visual surveillance, HCI, object-based video compression, etc. One of the most successful moving object detection algorithms is based on Adaptive Gaussian Mixture Model （AGMM）. Although ACMM-hased object detection shows very good performance with respect to object detection accuracy, AGMM is very complex model requiring lots of floatingpoint arithmetic so that it should pay for expensive computational cost. Thus, direct implementation of the AGMM-based object detection for embedded DSPs without floating-point arithmetic HW support cannot satisfy the real-time processing requirement. This paper presents a novel rcal-time implementation of adaptive Gaussian mixture model-based moving object detection algorithm for fixed-point DSPs. In the proposed implementation, in addition to changes of data types into fixed-point ones, magnification of the Gaussian distribution technique is introduced so that the integer and fixed-point arithmetic can be easily and consistently utilized instead of real nmnher and floatingpoint arithmetic in processing of AGMM algorithm. Experimental results shows that the proposed implementation have a high potential in real-time applications.
