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  • 數(shù)字衛(wèi)星設(shè)備控制兼容的天線(xiàn)供電系統(tǒng)設(shè)計(jì)

    Abstract: This application note discusses a design for a phantom antenna power-supply system compatible with theDigital Satellite Equipment Control (DiSEqC) communication standard, using the MAX16948 automotive dual, highvoltageLDO/switch. The presented application circuit provides a remote antenna power supply and also enables onewaycommunication from the radio head unit to the remote antenna. This system architecture offers flexibility inDiSEqC tone-burst frequency choice (100Hz to 30kHz), enabling users the ability to select the best frequency for theirapplication.

    標(biāo)簽: 數(shù)字衛(wèi)星 控制 兼容 供電系統(tǒng)設(shè)計(jì)

    上傳時(shí)間: 2013-11-17

    上傳用戶(hù):fnhhs

  • 微電腦型單相交流集合式電表(單相二線(xiàn)系統(tǒng))

    微電腦型單相交流集合式電表(單相二線(xiàn)系統(tǒng)) 特點(diǎn): 精確度0.25%滿(mǎn)刻度±1位數(shù) 可同時(shí)量測(cè)與顯示交流電壓,電流,頻率,瓦特,(功率因數(shù)/視在功率) 交流電壓,電流,瓦特皆為真正有效值(TRMS) 交流電流,瓦特之小數(shù)點(diǎn)可任意設(shè)定 瓦特單位W或KW可任意設(shè)定 CT比可任意設(shè)定(1至999) 輸入與輸出絕緣耐壓 2仟伏特/1分鐘( 突波測(cè)試強(qiáng)度4仟伏特(1.2x50us) 數(shù)位RS-485界面 (Optional) 主要規(guī)格: 精確度: 0.1% F.S.±1 digit (Frequency) 0.25% F.S.±1 digit(ACA,ACV,Watt,VA) 0.25% F.S. ±0.25o(Power Factor) (-.300~+.300) 輸入負(fù)載: <0.2VA (Voltage) <0.2VA (Current) 最大過(guò)載能力: Current related input: 3 x rated continuous 10 x rated 30 sec. 25 x rated 3sec. 50 x rated 1sec. Voltage related input: maximum 2 x rated continuous 過(guò)載顯示: "doFL" 顯示值范圍: 0~600.0V(Voltage) 0~999.9Hz(Frequency)(<20% for voltage input) 0~19999 digit adjustable(Current,Watt,VA) 取樣時(shí)間: 2 cycles/sec. RS-485通訊位址: "01"-"FF" RS-485傳輸速度: 19200/9600/4800/2400 selective RS-485通信協(xié)議: Modbus RTU mode 溫度系數(shù): 100ppm/℃ (0-50℃) 顯示幕: Red high efficiency LEDs high 10.16 mm(0.4") 參數(shù)設(shè)定方式: Touch switches 記憶型式: Non-volatile E²PROM memory 絕緣抗阻: >100Mohm with 500V DC 絕緣耐壓能力: 2KVac/1 min. (input/output/power) 1600 Vdc (input/output) 突波測(cè)試: ANSI c37.90a/1974,DIN-IEC 255-4 impulse voltage 4KV(1.2x50us) 使用環(huán)境條件: 0-50℃(20 to 90% RH non-condensed) 存放環(huán)境條件: 0-70℃(20 to 90% RH non-condensed) CE認(rèn)證: EN 55022:1998/A1:2000 Class A EN 61000-3-2:2000 EN 61000-3-3:1995/A1:2001 EN 55024:1998/A1:2001

    標(biāo)簽: 微電腦 單相交流 單相 電表

    上傳時(shí)間: 2015-01-03

    上傳用戶(hù):幾何公差

  • Arduino 328控制板制作音樂(lè)

       要生產(chǎn)音頻脈沖,只要算出某一音頻的周期(1/頻率),可以利用定時(shí)器計(jì)時(shí)的方式得到此頻率的脈沖。而Arduino平臺(tái)“封裝”了新的數(shù)字輸出函數(shù)tone()。更簡(jiǎn)易的實(shí)現(xiàn)喇叭和蜂鳴器唱歌。 tone(pin, frequency),Arduino會(huì)向指定pin發(fā)送制定頻率的方波,執(zhí)行noTone()函數(shù)來(lái)停止。 tone(pin, frequency, duration方法多了一個(gè)參數(shù),代表發(fā)送方波持續(xù)的時(shí)間,到時(shí)自動(dòng)停止發(fā)送信號(hào),就不需要noTone()函數(shù)。 利用tone()函數(shù)播放音樂(lè),只需要查表了解各個(gè)音符對(duì)應(yīng)的頻率,還要求個(gè)人稍微能看懂音樂(lè)譜子的節(jié)拍。 物料清單 : Arduino 328控制板 1塊 8Ω 0.5W的喇叭(或者蜂鳴器) 1個(gè)(ATmega328的驅(qū)動(dòng)能力足夠,直接拉電流就ok!) 12Ω電阻(限流) 1個(gè) 實(shí)物圖:

    標(biāo)簽: Arduino 328 控制板 制作音樂(lè)

    上傳時(shí)間: 2013-10-14

    上傳用戶(hù):jiangxiansheng

  • Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning c

    Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem

    標(biāo)簽: polynomial regression weighted instance

    上傳時(shí)間: 2013-11-28

    上傳用戶(hù):sunjet

  • 遺傳算法(Genetic Algorithm, GA)是近幾年發(fā)展起來(lái)的一種嶄新的全局優(yōu)化算法

    遺傳算法(Genetic Algorithm, GA)是近幾年發(fā)展起來(lái)的一種嶄新的全局優(yōu)化算法,它借 用了生物遺傳學(xué)的觀點(diǎn),通過(guò)自然選擇、遺傳、變異等作用機(jī)制,實(shí)現(xiàn)各個(gè)個(gè)體的適應(yīng)性 的提高。這一點(diǎn)體現(xiàn)了自然界中"物競(jìng)天擇、適者生存"進(jìn)化過(guò)程。1962年Holland教授首次 提出了GA算法的思想,從而吸引了大批的研究者,迅速推廣到優(yōu)化、搜索、機(jī)器學(xué)習(xí)等方 面,并奠定了堅(jiān)實(shí)的理論基礎(chǔ)。 用遺傳算法解決問(wèn)題時(shí),首先要對(duì)待解決問(wèn)題的模型結(jié)構(gòu) 和參數(shù)進(jìn)行編碼,一般用字符串表示,這個(gè)過(guò)程就將問(wèn)題符號(hào)化、離散化了。也有在連續(xù) 空間定義的GA(Genetic Algorithm in Continuous Space, GACS),暫不討論。

    標(biāo)簽: Algorithm Genetic GA 算法

    上傳時(shí)間: 2015-06-08

    上傳用戶(hù):stampede

  • BNB20 Finds the constrained minimum of a function of several possibly integer variables. % Usage: [

    BNB20 Finds the constrained minimum of a function of several possibly integer variables. % Usage: [errmsg,Z,X,t,c,fail] = % BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...) % % BNB solves problems of the form: % Minimize F(x) subject to: xlb <= x0 <=xub % A*x <= B Aeq*x=Beq % C(x)<=0 Ceq(x)=0 % x(i) is continuous for xstatus(i)=0 % x(i) integer for xstatus(i)= 1 % x(i) fixed for xstatus(i)=2 %

    標(biāo)簽: constrained variables function possibly

    上傳時(shí)間: 2014-01-13

    上傳用戶(hù):youth25

  • Streaming refers to the ability of an application to play synchronised media streams like audio and

    Streaming refers to the ability of an application to play synchronised media streams like audio and video streams in a continuous way while those streams are being transmitted to the client over a data network.

    標(biāo)簽: synchronised application Streaming ability

    上傳時(shí)間: 2015-10-22

    上傳用戶(hù):athjac

  • Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

    Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.

    標(biāo)簽: meta-learning classifiers combining Boosting

    上傳時(shí)間: 2016-01-30

    上傳用戶(hù):songnanhua

  • From helping to assess the value of new medical treatments to evaluating the factors that affect ou

    From helping to assess the value of new medical treatments to evaluating the factors that affect our opinions and behaviors, analysts today are finding myriad uses for categorical data methods. In this book we introduce these methods and the theory behind them. Statistical methods for categorical responses were late in gaining the level of sophistication achieved early in the twentieth century by methods for continuous responses. Despite influential work around 1900 by the British statistician Karl Pearson, relatively little development of models for categorical responses occurred until the 1960s. In this book we describe the early fundamental work that still has importance today but place primary emphasis on more recent modeling approaches. Before outlining

    標(biāo)簽: evaluating treatments the helping

    上傳時(shí)間: 2014-01-25

    上傳用戶(hù):jennyzai

  • Of the password is: Server: "1." Client: + for the month of the date of the machine. Such as

    Of the password is: Server: "1." Client: + for the month of the date of the machine. Such as "2005/08/05", compared with the number "85" Database: "xzxq". I made the changes: 1, stations and customer-service once every 30 seconds to exchange information (to ensure continuous line) 2, computer services-an increase of the serial number 3, client-service to send the card serial number and send IP addresses to the service side 4, the desktop client by the embargo, since the definition of the icon to start the process faster (from the window Superman Code) 5, CS-shielding some function keys, but CTRL + ALT + DEL keys can not shield the hope that a revised modify these friends 6, there are some corners of Laws (such as title, etc.). Client desktop icon in the Settings page set up first class to enter FXZWN999 open on to add, delete icon button

    標(biāo)簽: the password machine Client

    上傳時(shí)間: 2016-06-27

    上傳用戶(hù):xsnjzljj

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