【正文】 e one of today39。t produce oscillation under limited precision, at the same time because of the uncertainty of the quantization coefficient of rounding and the influence of the error caused by the much smaller than the IIR filter, and FIR filter can use FFT algorithm, the puting speed is fast. But unlike IIR filter can use analog filter, must use puter aided design software such as MATLAB to calculate. Therefore, FIR filter is widely used, and is not very strict IIR filter is used in phase. In this application note, only transversal structure FIR structure is implemented. Transversal structure of adaptive FIR Filter is given by Fig 2 and the filter output signal y(n) is given by )()()()()( 10 nXnwknxnwny TNk K ??? ??? Fig 2 Transversal Structure of Adaptive FIR Filter Where TNnxnxnxnX )]1() , .. .. ..1(),([)( ???? is input vector, Tn nwnwnwnW )](),(),([)( 110 ?? is weight vector. T denotes Transpose, N is the order of filter. LMS Algorithm Preceptor algorithm and the adaptive linear element are almost at the same time in history, and both the weight adjustment algorithm is very similar. They are learning algorithm based on error correcting learning rule. The preceptor algorithm has the following problems: cannot be extended to the general feed forward work。 y = zeros(1,M)。 y(n)=h*x139。 the working speed may reach 100MIPS。 SARAM and TMS320VC5402 constitute 32K external program memory in the address range 48000h–48FFFh and 16K external data memory in the address range 40000h–7FFFFh. Software system based on TMS320VC5402 The Integrates DSP development environment is CCS (Code Compo ser Studio) that is provided by TI. CCS cooperates with simulator XDS510. The adaptive FIR filter software design uses the assembly language to plete. Fig 5 shows the low chart of software program design. BK is FIR circular buffer size, and blockrepeat counter (BRC) is set 99. The initialization of hardware contains: clock, interrupt, RAM, McBSP0, AC01 and timer on chip, then endless loop is running in the main program until interrupt of timer es. Initializations of AC01 uses the synchronous serial port and skillfully applies mand idle 1. After the initialization data is transmitted then the system waits for the transmission interrupt of the serial port to guarantee safe transmission of data. Fig 5 Flow chat The LMS, ST||MPY, and RPTBD instructions on the ’54x can reduce the execution time of code for adaptive filtering. LMS algorithm is given by LMS Xmem , Ymem。 Repeat 256 times RPTBD lms_end1 MPY *input,A 。filtering, B = accumulate filtered output y, A=final coefficient lms_end: STH A,*coeff+0% 。pute error STL A,*error LD delta,T MPY *error+,A 。 15 (2), FEB 2020. [5] Zhi ZY, Han RC, Pan F, Zuo L, Yu SY. Implementation of a kind of FIR filter based on TMS320F240 DSP [J].6th International Symposium on Test and Measurement。 （ 2）畢業(yè)論文的內(nèi)涵 畢業(yè)論文是高等學(xué)校學(xué)生畢業(yè)前所撰寫的學(xué)術(shù)論文。 ②畢業(yè)設(shè)計(jì)的功能 ②畢業(yè)論文的功能 通過畢業(yè)論文的教學(xué)過程，檢驗(yàn)學(xué)生綜合運(yùn)用基礎(chǔ)理論、基本知識(shí)和實(shí)驗(yàn)技術(shù)，解決科學(xué)和技術(shù)領(lǐng)域有關(guān)問題的能力；檢驗(yàn)科研基本訓(xùn)練的實(shí)際效果。 同時(shí)，畢業(yè)論文又是面向社會(huì)發(fā)表研究成果的重要手段，也是信息交流與信息存儲(chǔ)的重要工具，從而實(shí)現(xiàn)其 社會(huì)功能。社會(huì)功能 畢業(yè)論文是以應(yīng)用研究成果作為媒介與生產(chǎn)和社會(huì)實(shí)際相聯(lián)系。它是高等學(xué)校學(xué)生從事系統(tǒng)的科學(xué)研究的初步嘗試；是在指導(dǎo)教師指導(dǎo) 下，對取得的科研成果的綜合表述。 （ 2）畢業(yè)論文的特點(diǎn)與功能 ①畢業(yè)論文的特點(diǎn) 畢業(yè)論文或稱學(xué)位論文是學(xué)術(shù)論文中的一種類型，具有學(xué)術(shù)性、科學(xué)性、創(chuàng)造性，即一般學(xué)術(shù)論文的共同屬性，同時(shí)具有下列特點(diǎn)： 通過畢業(yè)設(shè)計(jì)教學(xué)工作，培養(yǎng)學(xué)生綜合運(yùn)用多學(xué)科理論、知識(shí)與技能，解決具有一定復(fù)雜程度的工程實(shí)際問題的能力；培養(yǎng)學(xué)生樹立正確的設(shè)計(jì)思想和掌 握現(xiàn)代設(shè)計(jì)方法；培養(yǎng)學(xué)生嚴(yán)肅認(rèn)真的科學(xué)態(tài)度和嚴(yán)謹(jǐn)求實(shí)的工作作風(fēng)；培養(yǎng)學(xué)生優(yōu)良的思維品質(zhì)，強(qiáng)化工程實(shí)際意識(shí)；培養(yǎng)學(xué)生 2 大學(xué) 畢業(yè)設(shè)計(jì)（論文）簡明指導(dǎo)手冊 勇于實(shí)踐、勇于探索和開拓創(chuàng)新的精神。畢業(yè)論文具有學(xué)術(shù)論文所共有的一般屬性，它的構(gòu)成與展開嚴(yán)格按照緒論、本論、結(jié)論的思維方式，以事實(shí)為基礎(chǔ)，以嚴(yán)謹(jǐn)?shù)耐评磉^程為依據(jù)，得出可信的科學(xué)結(jié)論。畢業(yè)設(shè)計(jì) (論文 )是學(xué)生畢業(yè)前的最后學(xué)習(xí)階段，是學(xué)習(xí)深化與升華的重要過程；是能力與素質(zhì)培養(yǎng)的重要途徑；是學(xué)生學(xué)習(xí)、研究與實(shí)踐成果的全面總結(jié)；是學(xué)生綜合素質(zhì)與實(shí)踐能力培養(yǎng)效果的全面檢驗(yàn)；是學(xué)生畢業(yè)及學(xué)位資格認(rèn)定的重要依據(jù)；是評價(jià)高等學(xué)校教育教學(xué)質(zhì)量的重要依據(jù)。T=u*e MAR *+input(9) 。store the filtered output LD *refer+,A 。B=B+coeff*input, A=A+0= A16 ST A,*coeff+0% 。 B=B+(*coeff+*input+) || { ADD Xmem ,16, A 。 ADC channel and a DAC channel operate synchronously, the data transfer is in2splement format。 %calculate error h=h+u*e(n)*x1。e=zeros(1,M)。t get any results. The LMS algorithm proposed by Widrow and Hoff in America Stanford University study of adaptive theory, due to its easy implementation and soon got the extensive application bee the standard adaptive filtering algorithm. In adaptive filter prises a filter of a structure designed according to, and an adaptive algorithm. The adaptive algorithm is designed according to a judgment. The adaptive filter algorithm is mainly by the various criterions as a projection basis. There are two criteria: minimum mean square error criterion and the method of least squares criterion. LMS algorithm is the most typical algorithm criterion based on the least mean square error。s frequency is fixed, the adaptive filter frequency is automatically adapt to changes in the input signal, so its applicable range. In the absence of any a priori knowledge about the signal and noise conditions, the adaptive filter using a moment before the time of filter parameters automatically adjust the filter parameters have been obtained, statistical characteristics of signal and noise to adapt to unknown or random change, so as to achieve the optimal filtering. The adaptive filter, the filter parameters is an results, automatically adjusting filter parameters is now time to adapt, statistical characteristics of signal and noise unknown or timevarying, so as to achieve the optimal filtering. The adaptive filter is essentially a can adjust its transmission characteristics in order to achieve optimal Wiener filter. Adaptive filter consists of two basic parts: the filter which applies the required processing on the ining signal which is to be filtered, and an adaptive algorithm, which adjusts the coefficients of that filter to somehow improve its performance. When adaptive filter is designed, the autocorrelation function of signals and noises can no