【正文】 行輸出”芯片 74LS164 的配合下，即可通過串行口擴(kuò)展 89C52 的輸出口，其中 89C52 的 RXD 引腳接 74LS164 芯片的串行數(shù)據(jù)輸入端， TXD 引腳接 74LS164 芯片的移位脈沖 CLK。 . 第四節(jié) 系統(tǒng)部分單元電路設(shè)計 前幾節(jié)已介紹了本系統(tǒng)用到的主要芯片，接下來在這一節(jié)里將詳細(xì)介紹本系統(tǒng)的單元模塊電路的設(shè)計。 內(nèi)存自檢程序： ORG 0000H MOV A , 0AAH 。是否檢測完 CJNE R4 ,00H ,WR1 MOV R5 ,DPH CJNE R5 ,28H ,WR1 JB FO ,ENDP 。設(shè)置控制字 ,A口輸出 C高入 ,B口輸出 C低出 MOVX DPTR,A 。判斷是否有鍵按下或抖動 SJMP DONE 。送首列到 A CPL A 。保存列值 DJNZ R2 ,SCAN 。保存鍵值 MOV R4 ,00H 。行 +1 INC DPTR 。置寄存器 R5 初值 DL5 : DJNZ R5 ,DL5 。設(shè)置顯示個數(shù) MOV A ,0FFH START : INC A MOV R0 ,A MOV SCON,00H 。共陽極數(shù)碼管顯示查表 DB 092H,082H,0F8H,080H,090H 結(jié)束語 經(jīng)過幾個月的緊張努力 ,我的畢業(yè)設(shè)計終于順利完成了 .在這中間 ,我感覺真的學(xué)到了很多東西 ,并且 ,把以前學(xué)的不好的知識又重新鞏固了一遍 ,而且還加深了理解與認(rèn)識 .在 畢設(shè)過程中 ,由于要查閱很多資料 ,還使我開闊了眼界 ,拓展了思路 . 實踐出真知 !在畢業(yè)設(shè)踐計的實中 ,我收獲頗豐 .我能熟練地運用protel99,office2021 等應(yīng)用軟件 .以前學(xué)習(xí)時總認(rèn)為學(xué)的都用不上 ,而且學(xué)習(xí)的時候抓不到要點 ,通過完成畢業(yè)設(shè)計我初步明白了怎樣把所學(xué)的知識運用到實踐中來 ,終于能夠做到學(xué)以致用 . 感謝給予我親切指導(dǎo)的各位老師 ,尤其是我的畢業(yè)設(shè)計老師李智奇老師 ,是他的悉心教導(dǎo)才使我的這篇論文得以完成 !謝謝您 !李老師 !此外 ,還要特別感謝陳大兵同學(xué) ,他在軟硬件及調(diào)試方面都給了我很大的幫助 ,在此表示最 誠摯的謝意 ! 參考文獻(xiàn) 《單片機接口技術(shù)及在工業(yè)控制中的應(yīng)用》 陜西電子編輯部 李秉操 ,張登舉 ,付壽英 ,徐飛 編著 《單片機微型機算計實用系統(tǒng)設(shè)計》 人民郵電出版社 潘新民 ,王燕芳 編著 附錄一： Data Acquisition Data Recent advances in digital signal processing algorithms and puter technology have bined to provide the ability to produce realtime systems that have capabilities far exceeding those of a few years ago. It will focus on the development of a generic processing structure that exploits the great degree of processing concept similarities existing among the radar, sonar, and medical imaging systems. A highlevel view of the above realtime systems consists of a highspeed Signal Processor to provide mainstream signal processing for detection and initial parameter estimation, a Data Manager which supports the data and information processing functionality of the system, and a Display SubSystem through which the system operator can interact with the data structures in the data manager to make the most effective use of the resources at his mand. The Signal Processor normally incorporates a few fundamental operations. For example, the sonar and radar signal processors include beamforming, “ matched” filtering, data normalization, and image processing. The first two processes are used to improve both the signaltonoise ratio (SNR) and parameter estimation capability through spatial and temporal processing techniques. Data normalization is required to map the resulting data into the dynamic range of the display devices in a manner which provides a CFAR (constant false alarm rate) capability across the analysis cells. The processing algorithms for spatial and temporal spectral analysis in realtime systems are based on conventional FFT and vector dot product operations because they are putationally cheaper and more robust than the modern nonlinear high resolution adaptive methods. However, these nonlinear algorithms trade robustness for improved array gain performance. Thus, the challenge is to develop a concept which allows an appropriate mixture of these algorithms to be implemented in practical realtime systems. The nonlinear processing schemes are adaptive and synthetic aperture beamformers that have been shown experimentally to provide improvements in array gain for signals embedded in partially correlated noise fields. Using system image outputs, target tracking, and localization results as performance criteria, the impact and merits of these techniques are contrasted with those obtained using the conventional processing schemes. The reported real data results show that the advanced processing schemes provide improvements in array gain for signals embedded in anisotropic noise fields. However, the same set of results demonstrates that these processing schemes are not adequate enough to be considered as a replacement for conventional processing. This restriction adds an additional element in our generic signal processing structure, in that the conventional and the advanced signal processing schemes should run in parallel in a realtime system in order to achieve optimum use of the advanced signal processing schemes of this study. The handbook also includes a generic concept for implementing successfully adaptive schemes with nearinstantaneous convergence in 2dimensional (2D) and 3dimensional (3D) arrays of sensors, such as planar, circular, cylindrical, and spherical arrays. It will be shown that the basic step is to minimize the number of degrees of freedom associated with the adaptation process. This step will minimize the adaptive scheme’ s convergence period and achieve nearinstantaneous convergence for integrated active and passive sonar applications. The reported results are part of a major research project, which includes the definition of a generic signal processing structure that allows the implementation of adaptive and synthetic aperture signal processing schemes in realtime radar, sonar, and medical tomography (CT, MRI, ultrasound) systems that have 2D and 3D arrays of sensors. The material in the handbook will bridge a number of related fields: detection and estimation theory。 1D, 2D, and 3D sensor array processing that includes conventional, adaptive, synthetic aperture beamforming and imaging。查表地址首址為 TAB MOVC A ,A+DPTR 。延時 10mS 循環(huán) RET 。重新判斷 E : MOV R6 ,0EH 。查表地址首址為 KEYTBL PRSD3: CLR A 。掃描完 ,返回等待 FIDN: ADD A ,0F 。全掃描字送入 MOVX A ,