【正文】 20 屆本科生畢業(yè)設(shè)計(jì)（論文）資料第三部分 過(guò)程管理資料 2009屆畢業(yè)設(shè)計(jì)（論文）課題任務(wù)書(shū)系(部)： 電子與通信工程系 專(zhuān)業(yè)： 通信工程 指導(dǎo)教師王路露職稱助教學(xué)生姓名何雙喜課題名稱IIR數(shù)字濾波器的仿真與實(shí)現(xiàn)
。當(dāng)最大極半徑是，通過(guò)調(diào)整參數(shù)，我們也可以控制桿的位置。為了將其加入到設(shè)計(jì)過(guò)程中，類(lèi)似的權(quán)值約束技術(shù)工作，和穩(wěn)定的制約因素是然后結(jié)合迭代程序。因此，一些更復(fù)雜的限制，例如波形的峰值誤差的限制，穩(wěn)定約束，這既是充分和NEC – 的穩(wěn)定。，迭代SOCP方法沒(méi)有任何穩(wěn)定的制約因素是引入設(shè)計(jì)IIR數(shù)字濾波器 ，峰值限制被納入作為的SOC ，一個(gè)新的穩(wěn)定因素根據(jù)美聯(lián)社的是DSP例子中提出科IV. 最后，結(jié)論在第五節(jié).本文提出了一種IIR數(shù)字濾波器的設(shè)計(jì)方法，以新的P 基于穩(wěn)定約束已提交。因此，所有的唱片和凸資格問(wèn)題，也可用來(lái)幫助解決的SOCP SOCP問(wèn)題不到一般比社民黨的問(wèn)題，計(jì)算復(fù)雜度每次迭代所需的SOCP算法遠(yuǎn)遠(yuǎn)少于在社民黨的算法，尤其是當(dāng)層面二階錐（ SOC ） ，我們將投下IIR濾波器設(shè)計(jì)問(wèn)題納入SOCP ，我們已經(jīng)提交了一份初步版本， 這次是為了將二次高峰期的限制，設(shè)計(jì)方法予以實(shí)施這一文件作為迭代SOCP程序，而不是量化參數(shù)迭代程序通過(guò)的。凸優(yōu)化的方法，如二階錐規(guī)劃（ SOCP ），和社民黨，有被廣泛應(yīng)用于設(shè)計(jì)飛行情報(bào)區(qū)[和IIR數(shù)字過(guò)濾器。定理為基礎(chǔ)的穩(wěn)定的制約因素，這是性低于正實(shí)的站，性約束，它是用來(lái)識(shí)別一套積極系統(tǒng)規(guī)定參數(shù)，穩(wěn)定約束取代由數(shù)目有限的積極系統(tǒng)規(guī)定參數(shù)，在，通過(guò)定義凸穩(wěn)定域，設(shè)計(jì)問(wèn)題可以制定作為迭代半定規(guī)劃（社民黨） ， ，一個(gè)穩(wěn)定的基礎(chǔ)上限制的論點(diǎn)原則（美聯(lián)社）的復(fù)雜的分析介紹了，由此產(chǎn)生的穩(wěn)定的制約因素成為線性平等條件. 然而 ，通過(guò)大量一些模擬，試圖解決這個(gè)問(wèn)題，一個(gè)新的穩(wěn)定的制約因素是擬建議，這也是基于關(guān)于在穩(wěn)定的制約因素是約，在二次型， ，無(wú)論是大量的制約因素密集發(fā)車(chē)頻率點(diǎn)也不多交換算法是必要的。穩(wěn)定是一個(gè)重要的問(wèn)題的IIR數(shù)字濾波器的設(shè)計(jì)。 3月出版的最新版本11,2009 。 5月修訂01,2008 。1 簡(jiǎn)介相比與FIR數(shù)字濾波器的設(shè)計(jì)，即一個(gè)飛行情報(bào)區(qū)挖意大利過(guò)濾器的過(guò)濾器規(guī)格滿足的目的是第一，和然后，近似程序可以保證穩(wěn)定的設(shè)計(jì)IIR數(shù)字濾波器， ， ，許多其他算法已建議設(shè)計(jì)IIR數(shù)字濾波器在一個(gè)直接的方式，一些迭代方法。本算法用了權(quán)值改造技術(shù)，迭代二階錐編程（ SOCP ）方法是用來(lái)解決設(shè)計(jì)問(wèn)題，例如，一個(gè)新的穩(wěn)定的制約因素與預(yù)抄極半徑來(lái)自論點(diǎn)原則（美聯(lián)社），類(lèi)似的技術(shù)部署權(quán)值改造技術(shù)概略穩(wěn)定約束的二次型。theorembased stability constraint ,which is less conservative than the positiverealnessbased stability constraint,is expressed as quadratic inequalities in terms of denominator coefficients. Note that both of them should be satisfied at all frequencies. A simple way ,to incorporate these constraints is to realize them on a set of densegrid frequency points over. The number of stability constraints is therefore large. Another way is to employ a multiple exchange algorithm ,which is used to identify a set of active , stability constraints are replaced by a finite number of active constraints. In ,by defining a convex stability domain, the design problem can be formulated as an iterative semi definite programming(SDP)problem. It has been proved in[7]that this stability domain contains the domain given by the Rouch233。current version published March 11, work was supported in part by the Natural Sciences and Engineering Research Council of Canada. This paper was remended by Associate Editor .The authors are with the Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON N9B 3P4,Canada employ the Steiglitz–McBride scheme to approach the optimal solution in some sense. Although,so far, the convergences of these methods cannot be strictly guaranteed, many examples in literature have shown their effectiveness. In this paper, we adopt the same iterative procedure using the Steiglitz–McBride scheme to design IIR digital filters. Stability is an important issue for IIR digital filter design. Recently, some positiverealnessbased andthe Rouch233。學(xué)生簽名：日 期： 年 月 日 7 2009 屆本科生畢業(yè)設(shè)計(jì)（論文）資料第二部分 外文資料翻譯IIR Digital Filter Design With New Stability Constraint Based on Argument PrincipleAbstract—This paper presents a weighted least squares(WLS) method for IIR digital filter design using a new stability constraint. Utilizing the reweighting technique, an iterative secondorder cone programming(SOCP)method is employed to solve the design problem, such that either linear or secondorder cone constraints can be further incorporated. In order to guarantee the stability of designed IIR digital filters, a new stability constraint with a prescribed pole radius is derived from the argument principle(AP) of plex analysis. As pared with other frequencydomain stability constraints, the APbased stability constraint is both sufficient and necessary. Since the derived stability constraint cannot be directly incorporated in the iterative SOCP method, the similar reweighting technique is deployed to approximate the stability constraint in a quadratic form, which is then bined with the WLS iterative design process. Filter design examples are presented to demonstrate the effectiveness of the proposed iterative SOCP method.Index Terms—Argument principle(AP),infinite impulse response(IIR)digital filters, reweighting techniques, secondorder cone programming(SOCP),weighted least squares(WLS) approximation.I. INTRODUCTIONCOMPARED with FIR digital filter design, the major difficulties for designing an IIR digital filter are its nonlinearity and stability problems. Many algorithms have been developed to implement stable IIR digital filters. Some approaches[1]–[6]implement filters in an indirect way, ., an FIR digital filter satisfying the filter specifications is designed first, and then, model reduction techniques are applied to approximate the FIR digital filter by a reducedorder IIR digital filter. In such indirect designs, approximation procedures can substantially guarantee the stability of designed IIR digital filters, which facilitates the design procedures. However, it is difficult to design filters with accurate cutoff frequencies using this design strategy. Recently, many other algorithms have been proposed to design IIR digital filters in a direct way, which means that the cost function of the design problem is directly based on the ideal frequency responses. In order to tackle such a nonlinear design problem, some iterative methods.Manuscript received October 25,2007。王老師工作勤奮的態(tài)度感染了我，這將對(duì)我以后的工作態(tài)度產(chǎn)生良好的影響。在課題的具體研究、開(kāi)展和論文的寫(xiě)作等各個(gè)方面，給予我很多的指導(dǎo)和幫助，對(duì)我的論文的順利完成起著非常重要的作用，也將使我終生受益。17(2):227230[2]陳愛(ài)萍,[J].湖南工程學(xué)院學(xué)報(bào),2004。同時(shí)對(duì)軟件開(kāi)發(fā)也有了更為全面的了解，通過(guò)自己的努力思考、學(xué)習(xí)研究與指導(dǎo)老師的認(rèn)真指導(dǎo)，使自己的能力得到了進(jìn)一步鍛煉與提高。通過(guò)查閱相關(guān)的資料、指導(dǎo)老師的指點(diǎn)和自身的學(xué)習(xí)，最終解決了這一問(wèn)題并完成仿真。在本課題研究的過(guò)程中，也遇到了各種各樣的困難：理論轉(zhuǎn)換成實(shí)際成果，是一個(gè)由虛變實(shí)的過(guò)程。 結(jié) 論通過(guò)前面的仿真，從結(jié)果來(lái)看，完全符合實(shí)驗(yàn)預(yù)期，實(shí)現(xiàn)了利用GUI設(shè)計(jì)實(shí)現(xiàn)IIR濾波器的整個(gè)過(guò)程，這次研究，對(duì)新技術(shù)的應(yīng)用開(kāi)辟了一條新的道路：我們可以應(yīng)用MATLAB的強(qiáng)大功能，系統(tǒng)的集合各種新技術(shù)，在虛擬的環(huán)境下，就可以實(shí)現(xiàn)技術(shù)的各種功能，這樣擺脫了對(duì)硬件的依賴性，也沒(méi)用了外界其他因素的干擾，又具有更高的性價(jià)比。 結(jié)果分析從界面操作可以看出，該設(shè)計(jì)預(yù)測(cè)達(dá)到了以下要求。通帶波紋和阻帶衰減都是相對(duì)于增益1的下降，因此，Rp和Rs越大則與通帶增益1的差距越大。按exit即可以退出界面。 輸出信號(hào)分析：可以從輸出的信號(hào)可以看出，把高頻的信號(hào)濾除，讓低頻信號(hào)通過(guò)。endfunction pushbutton3_Callback(hObject, eventdata, handles)function axes1_CreateF(hObject, eventdata, h