基于DSP的纸币号码识别系统

给出了一种基于DSP的纸币号码识别系统的设计方法。该系统可通过视频解码器SAA7113将纸币号码图像转换成数字图像，并通过复杂可编程逻辑器件CPLD对SAA7113输出的数字图像进行开窗处理来减小DSP的图像数据处理量和存储量。该系统采用TI公司的TMS320C 54x系列DSP，可实现每秒25幅号码图像的视频采集速度，因此可为实现具有纸币号码自动识别记录功能的点钞机奠定基础。此外，该系统还提供与PC机通信的异步串行接口。     

基于MVQM说话人识别系统的DSP实现

文章运用TMS320C5416实现了说话人自动识别系统。提出了一种新的说话人识别方法。该方法综合了VQ和GMM的优点。通过用VQ误差尺度取代传统GMM的输出概率函数。减少了建模时对训练数据量的要求,提高了识别速度。实验结果证明该方法是有效的。     

媒体处理器TM1300上语音压缩算法G.729A的优化

描述了媒体处理器TM1300的体系结构，详细论述了TM1300上语音压缩算法G．729A的优化方法，该方法可以满足实时处理的要求，也适用于语音编码算法G．723．1，G．728，G．729和图像压缩算法H．261，H．263等。     

声表面波式小波变换处理器衍射问题的研究

传统声表面波式小波变换处理器存在衍射问题。该文通过改变叉指换能器结构的方法解决衍射问题,即输入换能器存在衍射问题区域的指条采用宽度加权;不存在衍射问题的区域结构不变。推导了实现新结构无衍射问题的声表面波式小波变换处理器的函数关系。在压电基片材料X-112°YLiTaO3上设计和制作了尺度2-1和2-2两种声表面波式小波变换处理器样品。通过数值计算和测量,论证了新结构声表面波式小波变换处理器不存在衍射问题。     

快速DCT修剪在DSP上的内存访问优化方法

在本论文中,我们提出一个新的内存访问优化方法以减少由权重因子(在DCT的快速修剪计算图中的余弦系数)和输入点而产生的内存访问量,实现在DSP上的快速DCT修剪.该方法通过两个步骤来减少内存访问量:1.减少权重因子的个数;2.将快速DCT修剪的计算流程图中两个阶段中的蝴蝶运算单元合并到一个阶段中,从而形成一个高效的蝴蝶运算单元.我们在TI TMSC320C64x DSP上应用该方法来实现修剪FCT.实验结果表明,与传统的实现方法相比,修剪FCT方法在DSP上可以平均减少40％的内存访问量,平均减少48.6％的时钟周期和平均节约32.6％的由存储加权因子导致的内存访问.     

The Design and Implementation of Embedded Security CPU Based on Multi-strategy

Control flow monitoring,information flow tracking and memory monitoring are the three main solutions to enhance the security of embedded system at the hardware architecture level.However,most of the current studies about the security of embedded system consider the above solutions in separate dimensions rather than a combined effort.We start from the operation model at the instruction level,and propose a security multi-strategy which combines information flow tracking and memory monitoring by studying the security operating mechanism of embedded system.As a hardware approach this strategy extends the embedded processor architecture with additional security defense control.The experimental results show this multi-strategy is more effective and can detect more malicious attacks than a single solution.The effectiveness of our proposed security multi-strategy has been verified in a Field programmable gate array (FPGA) prototype platform based on a customized Leon3 microprocessor.     

(加急)基于GPU的并行加速渲染算法的研究

目前,GPU渲染技术仍然存在不足之处,在分配渲染任务时,没有充分发挥各个处理器的优势,浪费了性能较好的处理器,影响了渲染速度的提高。针对以上问题,根据武进区邹区现代农业产业园人口疏散地域接收安置动画的项目,在原有GPU渲染架构的基础上提出了一种基于sort-last架构的带反馈的动态负载均衡算法。在分配渲染任务之前,对所有处理器进行性能统计,将时长较长的场景分配给性能较好的处理器,时长短的分配给剩余的处理器,待有处理器完成渲染任务时,将剩余场景时间较长的,分配给第一轮任务先完成的处理器,以此类推。实验结果表明,该方法对解决上述问题具有较好的效果,解决了目前集群渲染存在的不足之处和负载不平衡的问题,最终实现了加速渲染。     

Programmable quantum processor implemented with superconducting circuit

A quantum processor might execute certain computational tasks exponentially faster than a classical processor. Here, using superconducting quantum circuits we design a powerful universal quantum processor with the structure of symmetric all-to-all capacitive connection. We present the Hamiltonian and use it to demonstrate a full set of qubit operations needed in the programmable universal quantum computations. With the device the unwanted crosstalk and ZZ-type couplings between qubits can be effectively suppressed by tuning gate voltages, and the design allows efficient and high-quality couplings of qubits. Within available technology,the scheme may enable a practical programmable universal quantum computer.     

Identification of hybrid ARX-neural network models for three-dimensional simulation of a vibroacoustic system

Acoustic noise in industrial areas, typically generated by compressors and vacuum pumps, may be mitigated by the combined use of passive and active noise control strategies. Despite its widespread use, the traditional Active Noise Control (ANC) technique requires error feedback and has been proven to be effective only within a small spatial region. When the movement of human ears is required within a large region and error feedback is difficult to be accomplished, new cancelling strategies have to be devised to achieve acceptable levels of spatial coverage. In the pursuit of this goal, this paper proposes a vibroacustic model to predict noise radiated from machinery. The model output is the sound signal of the noise at a given point inside a closed room. The two model inputs are the vibration signal at the noise source and the spatial coordinates of the intended point. Experimental output data were measured at several points inside a region defined by a solid rectangle. A fixed-order ARX model was chosen (AutoRegressive with eXogenous input), and for each spatial point and its corresponding pair of input-output signals, a set of parameter values was estimated. To integrate all these models into a single one, a neural network was employed to associate or approximate each set of parameters to its spatial coordinates. With this approach, the total number of parameters is expected to be greatly reduced, when considering the original separated models. Experimental results are presented and comparisons with other models are established on the basis of least-square error metrics and parsimony of parameters. A qualitative perspective for employing the proposed model in the design of large-region ANC strategies is also offered.     

用JoyStick游戏手柄控制LED显示屏视频处理器及专用播放软件

利用Windows消息编程的原理编写软件来获取JoySdck游戏手柄的按键消息，并且按照相应的消息执行操作来控制LED视频处理器和LED播放软件，最终满足复杂的播放操作要求。