Design of 3stage Instruction Pipeline 51 Core

流水线技术是提高系统带宽的一项强大的实现技术,并且不需要大量附加的硬件设置。在微处理器设计中采用流水线技术是提高微处理器性能的一种很有效的方法。本文主要介绍了自行设计的一种采用3级指令流水线的51内核的设计和实现。内容包括:3级指令流水线的划分以及相应的系统结构框架,51指令集中各种类型指令的执行情况,间接寻址功能的实现方法,流水线数据相关问题的解决方案,最后讨论设计的FPGA实现。Pipeline technology is a powerful implementation technology which can improve the system′s bandwidth without many additional hardware components.It′s an effective way to improve the microporcessor′s performance by adopting pipeline technology.This paper is mainly about the design of 51 core,which adopts 3stage instruction pipeline technology.First the compostion of the 3stage instruction pipeline and the inner structure of the 51 core are introduced.Then the paper focuses on the execution of all kinds of 8051 instructions.Also we discuss how to realize indirect addressing and the solution of the data dependence hazard.The last section of this paper is about the design realization by FPGA

Design and Implementation of an Automatic System for Bus Running Management

　设计了一个低成本的公交车运行管理自动化系统,可以根据设定的发车时刻自动给出发车提示,发车班次可以根据日期的改变自动循环改变。在汽车运行后,系统会自动记录汽车运行情况。当汽车出现超速行驶时,系统会给出超速提示。采用掉电数据不丢失的方式存储数据,数据的采集和传输采用无线通信,工作过程不用人工操作,只要点击鼠标就可以知道汽车的整个运行状况,例如超速、延时回站、绕道行驶等。A low cost automatic system for bus running management is introduced in this paper. It can be easy installed and it is convenient for use. Data are stored and will not lost when power is off. Bus is sent according to the scheduled sending-time-table and the scheduled sending-time-table will be cyclicly changed according to the change of date. When moving, running status is recorded automatically by this system. When speeding, this system will give out a warning hint. The data are gathered and sent by wireless without manual operation. The driver needs only click the mouse will he know the bus whole running status, such as overspeed, delayed returning to terminal and detour, etc.

Human Face Detection Based on Skin Color and Edge Information

人脸的检测是一个非常复杂的问题 ,对它的许多规律和规则进行显性的描述是相当困难的。文中提出一种基于肤色和边缘信息的人脸检测方法。该方法充分利用了人脸肤色的统计知识 ,首先利用肤色模型和边缘信息对人脸进行初定位 ,形成肤色区域 ,然后利用区域的特性例如紧凑性、坚固性、长宽比等来验证该肤色区域是否存在人脸。实验证明 ,该方法可以有效地运用于多人脸、不同尺寸、表情姿态和复杂背景的情况 ,具有较好的检测结果 ,还可以用于实时的人脸跟踪中。A fast algorithm based on skin color and edge information is proposed here.The algorithm uses skin color model in conjunction with edge information to quickly locate face in a given image.The proposed algorithm has been tested on various real images and its experimental performance is satisfactory.电子信息产业发展基金项目 (信运部 [2 0 0 3 ] 44 6号

An Adaptive Deinterlacing Algorithm with Morphological Operation

分析了现有的各种去隔行算法,在此基础上,将形态学处理引入基于运动检测的自适应去隔行技术中,对隔行图像进行精确的场内插值,通过运动检测将图像中的像素进行分类,针对不同类型的像素点自适应采取不同的插值算法。In this paper, some existing algorithms of deinterlacing are discussed ,then an adaptive deinterlacing method based on morphological operation is proposed. The proposed method performs specific intrafield interpolation first, and then pixels of the image are classified into four categories by motion detection. Variable interlacing method is performed according to the category that the pixels belong to.电子信息产业发展基金项目（信部运[2003]446号

A Local Adaptive Denoising Filter With Keeping Color Images Detail

去噪算法在现代图像处理应用中占有极其重要的地位。然而图像去噪的过程总是伴随着图像的模糊。本文提出了一种对彩色图像细节保持较好的局部自适应的去噪算法--基于个数判断噪声的前提下结合线性插值、非线性插值(这里主要指中值滤波)滤波对噪声图像进行处理,得到较理想的效果。和领域平均法、倒数梯度加权法、纯线性插值法、纯中值滤波法等相比较,其效果改善明显。Denoising is very important in image processing. Unfortunately denoising will blur the original image, founding a way to keep the details of a noisy image is necessary. We shown a new adaptive algorithm of denoising which has a better performance on keeping image's details-counting the difference of a window combining with the linear interpolation or nonlinear sort filter. We get a better result comparing with mean filter 、 reciprocal gradient filter、linear filter and median filter

An Adaptive Max-relativity Interpolation Algorithm for Digital Image

提出了一种基于图像多方向最大相关性的数字图像插值算法.数字图像插值过程中不可避免会产生图像细节模糊和边缘锯齿化,同时在处理视频信号时要求有较低复杂度以满足实时信号处理.针对以上问题和要求,本文根据图像空域内邻近像素点多个方向的内容相关性和几何相似性,得到一种基于图像最大相关性的自适应优化插值算法.该算法能有效解决插值后图像的锯齿效应及边缘模糊等问题.实验结果表明,该方法插值后的图像信噪比性能明显优于双线性方法,插值倍率较小时接近两次立方法,随着插值倍率增大性能也优于两次立方法,且计算量不大,经适当改进后可以用于实时视频信号处理.An image interpolation algorithm based on max-relativity of multiple directions is presented in this paper.The smooth effect and staircase of image detail or edges are inevitable during image interpolation.In video signal processing the computational complexity of the algorithm is also important.This paper proposes an adaptive max-relativity optimum interpolation algorithm for digital image to resolve the problems above.The algorithm takes into account of the relativity and symmetry of local neighbors and thus removes the staircase and smooth effect of the interpolated image more effectively.Experimental results demonstrate that the PSNR of the image gained by our proposed algorithm outperforms bilinear,superior than bicubic when the zoom factor is larger and has less computational complexity.The algorithm is also suit for real time video signal processing by some correction.国家自然科学基金 ( 60371012 );; 福建省科技重点项目(2002Y021)资

The Study in Realization of the Adjustment of Brightness,Contrast,Saturation and Hue of Images

文中对图像亮度、对比度、色度和色相调节的几种软件实现的方法进行研究及计算机的仿真分析,提出在用集成电路来实现时所采用的一些方法。In this paper we study some methods to adjust brightness,contrast,saturation and hue of the images.We also pre- sent some methods of realizing them by integrated circuit.Better performance is obtained in the computer simulations

An Unsharp Masking Technique for Image Enhancement with Noise Suppression

为了减小传统的反锐化掩模算法对噪声的敏感性 ,提出了一种新的反锐化掩模图像增强算法 ,该算法在图像的平坦区域进行去噪处理 ,并依据人眼视觉特性对图像的不同细节区域做不同程度的增强。通过几种算法的实验结果比较 ,表明本算法不仅增强效果较好 ,且抑制了噪声的增强。A new method for unsharp masking technique for image enhancement is presented in order to reduce noise sensitivity of traditional unsharp masking technique Denoising operation is performed in smooth areas of images The sharpening depth varies automatically in different contrast areas of images based on human visual properties Experimental results show a much improved enhancement and noise suppressing电子信息产业发展基金 (信部远 [2 0 0 3] 4 4 6号