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HAAR-like

  • AVR source code for performing speech, the speech voice will be like a robot voice. sources are in c

    AVR source code for performing speech, the speech voice will be like a robot voice. sources are in c language.

    標(biāo)簽: speech voice performing sources

    上傳時(shí)間: 2017-09-26

    上傳用戶:

  • 基于ARM架構(gòu)的嵌入式人臉識(shí)別技術(shù)研究

    嵌入式人臉識(shí)別系統(tǒng)建立在嵌入式操作系統(tǒng)和嵌入式硬件系統(tǒng)平臺(tái)之上,具有起點(diǎn)高、概念新、實(shí)用性強(qiáng)等特點(diǎn)。它涉及嵌入式硬件設(shè)計(jì)、嵌入式操作系統(tǒng)應(yīng)用開(kāi)發(fā)、人臉識(shí)別算法等領(lǐng)域的研究;嵌入式人臉識(shí)別系統(tǒng)攜帶方便、安裝快捷、機(jī)動(dòng)性強(qiáng),可廣泛應(yīng)用于各類門禁系統(tǒng)、戶外機(jī)動(dòng)布控的實(shí)時(shí)監(jiān)測(cè)等特殊場(chǎng)合,因此對(duì)嵌入式人臉識(shí)別的研究工作具有突出的理論意義和廣泛的應(yīng)用前景。 本文是上海市經(jīng)委創(chuàng)新研究項(xiàng)目《射頻識(shí)別RFID系統(tǒng)-自動(dòng)識(shí)別和記錄人群的身份》(編號(hào):04-11-2)與上海市科委AM基金項(xiàng)目《基于ARM和RFID芯片的自組織安全監(jiān)控系統(tǒng)的研制》(編號(hào):0512)的主要研究?jī)?nèi)容之一。論文從構(gòu)建自動(dòng)人臉識(shí)別系統(tǒng)所需解決的若干關(guān)鍵問(wèn)題入手,重點(diǎn)探討了基于嵌入式ARM微處理器的實(shí)時(shí)人臉檢測(cè)、關(guān)鍵特征定位、高效的人臉特征描述、魯棒的人臉識(shí)別分類器及自動(dòng)人臉識(shí)別系統(tǒng)設(shè)計(jì)等問(wèn)題的研究。論文的主要工作和創(chuàng)新點(diǎn)表現(xiàn)在以下方面: 1實(shí)現(xiàn)了結(jié)合膚色校驗(yàn)的Haar特征級(jí)聯(lián)分類器嵌入式實(shí)時(shí)人臉檢測(cè),提出了基于人臉約束的人眼Haar特征RSVM級(jí)聯(lián)分類器人眼檢測(cè)算法和基于遮罩掩磨與橢圓擬合的瞳孔定位算法。 復(fù)雜背景中的人臉檢測(cè)是自動(dòng)人臉識(shí)別系統(tǒng)首先要解決的關(guān)鍵問(wèn)題,通過(guò)對(duì)基于膚色模型和基于Haar特征級(jí)聯(lián)強(qiáng)分類器的人臉檢測(cè)算法的分析研究,綜合兩個(gè)算法的優(yōu)點(diǎn),提出了基于膚色模型校驗(yàn)和Haar特征級(jí)聯(lián)強(qiáng)分類器的嵌入式實(shí)時(shí)人臉檢測(cè)算法。實(shí)驗(yàn)結(jié)果表明,該算法不僅解決了復(fù)雜背景中的類膚色和類人臉結(jié)構(gòu)問(wèn)題,而且具有較高的檢測(cè)率和較快的檢測(cè)速度,同時(shí)對(duì)光照、尺度等變化條件下的人臉檢測(cè)也具有較強(qiáng)的魯棒性。 人眼檢測(cè)與瞳孔定位在人臉歸一化和有效人臉特征抽取等方面起著非常重要的作用,為了快速檢測(cè)人眼并精確定位人眼瞳孔中心,論文提出了基于人臉約束的人眼Haar特征RSVM級(jí)聯(lián)分類器人眼檢測(cè)算法和基于遮罩掩磨與橢圓擬合的瞳孔定位算法,首先利用人眼檢測(cè)分類器在人臉區(qū)域內(nèi)完成對(duì)人眼位置的檢測(cè),然后通過(guò)對(duì)檢測(cè)到的人眼進(jìn)行遮罩掩磨、簡(jiǎn)單圖像形態(tài)學(xué)變換及橢圓擬合實(shí)現(xiàn)瞳孔中心的精確定位。測(cè)試結(jié)果表明該算法只需幾百毫秒便能完成人眼檢測(cè)與瞳孔中心定位整個(gè)過(guò)程,在保證檢測(cè)速度較快的同時(shí),還能確保較高的定位精度。 2 針對(duì)傳統(tǒng)線性判別分析法存在的小樣本問(wèn)題(sss),通過(guò)調(diào)整Fisher判別準(zhǔn)則,實(shí)現(xiàn)了自適應(yīng)線性判別分析算法及相應(yīng)的人臉識(shí)別方法人臉識(shí)別中的小樣本問(wèn)題使線性判別分析算法的類內(nèi)散布矩陣發(fā)生嚴(yán)重退化,導(dǎo)致問(wèn)題無(wú)法求解。本文在人臉識(shí)別小樣本問(wèn)題的基礎(chǔ)上,通過(guò)調(diào)整Fisher判別準(zhǔn)則,利用類間散布矩陣的補(bǔ)空間巧妙地避開(kāi)類內(nèi)散布矩陣的求逆運(yùn)算,通過(guò)訓(xùn)練集每類樣本的樣本數(shù)信息自適應(yīng)改變調(diào)整參數(shù),實(shí)現(xiàn)了自適應(yīng)線性判別分析算法,實(shí)驗(yàn)結(jié)果表明,該算法能有效解決人臉識(shí)別中的小樣本問(wèn)題。 3 提出了基于有效人臉區(qū)域的Gabor特征抽取算法,有效地解決了Gabor特征抽取維數(shù)過(guò)高的問(wèn)題。 Gabor小波對(duì)圖像的光照、尺度變化具有較強(qiáng)魯棒性,是一種良好的人臉特征表征方法。但維數(shù)過(guò)高的Gabor特征造成應(yīng)用系統(tǒng)的維數(shù)災(zāi)難,為解決Gabor特征的維數(shù)災(zāi)難問(wèn)題,論文第四章提出了基于有效人臉區(qū)域的Gabor特征抽取算法,該算法不僅有效地降低了人臉特征向量維數(shù),縮小了人臉特征庫(kù)的規(guī)模,同時(shí)降低了核心算法的時(shí)間和空間復(fù)雜度,而且具有與傳統(tǒng)Gabor特征抽取算法同樣的魯棒性。 4 結(jié)合有效人臉區(qū)域的Gabor特征抽取、自適應(yīng)線性判別分析算法和基于支持向量機(jī)分類策略,提出并實(shí)現(xiàn)了基于支持向量機(jī)的嵌入式人臉識(shí)別和嵌入式人像比對(duì)系統(tǒng)支持向量機(jī)通過(guò)引入核技巧對(duì)訓(xùn)練樣本進(jìn)行學(xué)習(xí)構(gòu)造最小化錯(cuò)分風(fēng)險(xiǎn)的最優(yōu)分類超平面,不僅具有強(qiáng)大的非線性和高維處理能力,而且具有更強(qiáng)的泛化能力。本文研究了支持向量機(jī)的多類分類策略和訓(xùn)練方法,并結(jié)合論文中提出的基于有效人臉區(qū)域的Gabor特征提取算法、自適應(yīng)線性判別分析算法,首次在基于Windows CE操作系統(tǒng)的嵌入式ARM平臺(tái)中實(shí)現(xiàn)了具有較強(qiáng)魯棒性的嵌入式自動(dòng)人臉識(shí)別系統(tǒng)和嵌入式人像比對(duì)系統(tǒng)。 5 提出并初步實(shí)現(xiàn)了基于客戶機(jī)/服務(wù)器結(jié)構(gòu)無(wú)線網(wǎng)絡(luò)模型的遠(yuǎn)距離人臉識(shí)別方案為解決嵌入式人臉識(shí)別系統(tǒng)在海量人臉庫(kù)中進(jìn)行識(shí)別的難題,論文提出并初步實(shí)現(xiàn)了基于客戶機(jī)/服務(wù)器結(jié)構(gòu)無(wú)線網(wǎng)絡(luò)模型的嵌入式遠(yuǎn)距離人臉識(shí)別方案。 客戶機(jī)(嵌入式平臺(tái))完成對(duì)人臉圖像的檢測(cè)、歸一化處理和人臉特征提取,然后通過(guò)無(wú)線網(wǎng)絡(luò)將提取后的人臉特征數(shù)據(jù)傳輸?shù)椒?wù)器端,由服務(wù)器在海量人臉庫(kù)中完成人臉識(shí)別,并將識(shí)別后的結(jié)果通過(guò)無(wú)線網(wǎng)絡(luò)傳輸?shù)娇蛻魴C(jī)顯示輸出,從而實(shí)現(xiàn)基于客戶機(jī)/服務(wù)器無(wú)線網(wǎng)絡(luò)模型的嵌入式遠(yuǎn)距離人臉識(shí)別方案。 6 結(jié)合我們開(kāi)發(fā)的基于ARM的嵌入式自動(dòng)人臉識(shí)別系統(tǒng)和嵌入式人像比對(duì)系統(tǒng),從系統(tǒng)設(shè)計(jì)的角度探討了在嵌入式系統(tǒng)中進(jìn)行人臉識(shí)別應(yīng)用設(shè)計(jì)的思路及應(yīng)該注意的問(wèn)題雖然嵌入式人臉識(shí)別系統(tǒng)的性能很大程度上取決于高效的人臉特征描述和魯棒的人臉識(shí)別核心算法。但是,嵌入式系統(tǒng)的設(shè)計(jì)思想對(duì)嵌入式人臉識(shí)別系統(tǒng)的性能影響同樣值得重視。本文第六章重點(diǎn)闡述了嵌入式自動(dòng)人臉識(shí)別應(yīng)用系統(tǒng)的設(shè)計(jì)思路,并結(jié)合我們自主開(kāi)發(fā)的嵌入式自動(dòng)人臉識(shí)別系統(tǒng)和嵌入式人像比對(duì)系統(tǒng)從系統(tǒng)設(shè)計(jì)的角度探討了嵌入式人臉識(shí)別應(yīng)用系統(tǒng)設(shè)計(jì)中應(yīng)該注意的關(guān)鍵技術(shù)問(wèn)題。 結(jié)合本文提出的算法我們?cè)赑C上完成對(duì)人臉識(shí)別分類器的訓(xùn)練,然后在嵌入式ARM開(kāi)發(fā)平臺(tái)上實(shí)現(xiàn)了嵌入式自動(dòng)人臉識(shí)別、嵌入式人像比對(duì)兩個(gè)便攜式人員身份認(rèn)證系統(tǒng),經(jīng)測(cè)試運(yùn)行效果良好。所提出的人臉識(shí)別算法不僅具有一定的理論參考價(jià)值,而且對(duì)于嵌入式系統(tǒng)應(yīng)用開(kāi)發(fā)、AFR應(yīng)用系統(tǒng)開(kāi)發(fā)也具有一定的借鑒意義。

    標(biāo)簽: ARM 架構(gòu) 嵌入式 人臉識(shí)別

    上傳時(shí)間: 2013-05-18

    上傳用戶:我們的船長(zhǎng)

  • allegro cx manual教程

    We would like to welcome you as a user of the Allegro CX, a rugged, handheld fi  eld PC for data collection. Developed with the input of data collection professionals worldwide, the Allegro CX is adaptable and versatile for use in a wide variety of data collection environments. The Allegro CX continues to utilize our ergonomic, lightweight design that is standard in our line of Allegro Field PCs. This design makes your Allegro easy to use for extended periods while moving to and from data collection sites in the fi  eld.  

    標(biāo)簽: allegro manual cx 教程

    上傳時(shí)間: 2014-12-23

    上傳用戶:gaojiao1999

  • 高集成數(shù)字RF調(diào)制器解決方案

    Abstract: A digital RF modulator, an integrated solution that satisfies stringent DOCSIS RF-performancerequirements, takes advantage of modern technologies like high-performance wideband digital-to-analogconversion and CMOS technology scaling. This application note describes the concept and advantages ofa digital quadrature amplitude modulation (QAM) modulator that uses the direct-RF architecture to enablea cable access platform (CCAP) system.

    標(biāo)簽: 集成 數(shù)字RF 調(diào)制器 方案

    上傳時(shí)間: 2013-10-20

    上傳用戶:drink!

  • MAX17600數(shù)據(jù)資料

     The MAX17600–MAX17605 devices are high-speedMOSFET drivers capable of sinking /sourcing 4A peakcurrents. The devices have various inverting and noninvertingpart options that provide greater flexibility incontrolling the MOSFET. The devices have internal logiccircuitry that prevents shoot-through during output-statchanges. The logic inputs are protected against voltagespikes up to +14V, regardless of VDD voltage. Propagationdelay time is minimized and matched between the dualchannels. The devices have very fast switching time,combined with short propagation delays (12ns typ),making them ideal for high-frequency circuits. Thedevices operate from a +4V to +14V single powersupply and typically consume 1mA of supply current.The MAX17600/MAX17601 have standard TTLinput logic levels, while the MAX17603 /MAX17604/MAX17605 have CMOS-like high-noise margin (HNM)input logic levels. The MAX17600/MAX17603 are dualinverting input drivers, the MAX17601/MAX17604 aredual noninverting input drivers, and the MAX17602 /MAX17605 devices have one noninverting and oneinverting input. These devices are provided with enablepins (ENA, ENB) for better control of driver operation.

    標(biāo)簽: 17600 MAX 數(shù)據(jù)資料

    上傳時(shí)間: 2013-12-20

    上傳用戶:zhangxin

  • Stabilize Your Transimpedance Amplifier

      Abstract: Transimpedance amplifiers (TIAs) are widely used to translate the current output of sensors like photodiode-to-voltagesignals, since several circuits and instruments can only accept voltage input. An operational amplifier with a feedback resistor fromoutput to the inverting input is the most straightforward implementation of such a TIA. However, even this simple TIA circuit requirescareful trade-offs among noise gain, offset voltage, bandwidth, and stability. Clearly stability in a TIA is essential for good, reliableperformance. This application note explains the empirical calculations for assessing stability and then shows how to fine-tune theselection of the feedback phase-compensation capacitor.

    標(biāo)簽: Transimpedance Stabilize Amplifier Your

    上傳時(shí)間: 2013-11-13

    上傳用戶:daoyue

  • 寄生電容在升壓變壓器中的設(shè)計(jì)應(yīng)用

    One of the most critical components in a step-up design like Figure 1 is the transformer. Transformers have parasitic components that can cause them to deviate from their ideal characteristics, and the parasitic capacitance associated with the secondary can cause large resonating current spikes on the leading edge of the switch current waveform.

    標(biāo)簽: 寄生電容 升壓變壓器 中的設(shè)計(jì)

    上傳時(shí)間: 2013-11-22

    上傳用戶:15070202241

  • Switching Regulators for Poets

      The above title is not happenstance and was arrived at afterconsiderable deliberation. As a linear IC manufacturer, it isour goal to encourage users to design and build switchingregulators. A problem is that while everyone agrees thatworking switching regulators are a good thing, everyonealso agrees that they are difficult to get working. Switchingregulators, with their high efficiency and small size, areincreasingly desirable as overall package sizes shrink.Unfortunately, switching regulators are also one of themost difficult linear circuits to design. Mysterious modes,sudden, seemingly inexplicable failures, peculiar regulationcharacteristics and just plain explosions are commonoccurrences. Diodes conduct the wrong way. Things gethot that shouldn’t. Capacitors act like resistors, fusesdon’t blow and transistors do. The output is at ground, andthe ground terminal shows volts of noise.

    標(biāo)簽: Regulators Switching Poets for

    上傳時(shí)間: 2013-12-19

    上傳用戶:奇奇奔奔

  • 基于HITAG讀寫芯片HTRC110的讀寫設(shè)備設(shè)計(jì)

    Designing read/write device (RWD) units for industrial RF-Identification applications is strongly facilitated by the NXP Semiconductors HITAG Reader Chip HTRC110. All needed function blocks, like the antenna driver, modulator demodulator and antenna diagnosis unit, are integrated in the HTRC110. Therefore only a minimum number of additional passive components are required for a complete RWD. This Application Note describes how to design an industrial RF-Identification system with the HTRC110. The major focus is dimensioning of the antenna, all other external components including clock and power supply, as well as the demodulation principle and its implementatio

    標(biāo)簽: HITAG HTRC 110 讀寫芯片

    上傳時(shí)間: 2013-10-22

    上傳用戶:zhengjian

  • Emulating a synchronous serial

    The C500 microcontroller family usually provides only one on-chip synchronous serialchannel (SSC). If a second SSC is required, an emulation of the missing interface mayhelp to avoid an external hardware solution with additional electronic components.The solution presented in this paper and in the attached source files emulates the mostimportant SSC functions by using optimized SW routines with a performance up to 25KBaud in Slave Mode with half duplex transmission and an overhead less than 60% atSAB C513 with 12 MHz. Due to the implementation in C this performance is not the limitof the chip. A pure implementation in assembler will result in a strong reduction of theCPU load and therefore increase the maximum speed of the interface. In addition,microcontrollers like the SAB C505 will speed up the interface by a factor of two becauseof an optimized architecture compared with the SAB C513.Moreover, this solution lays stress on using as few on-chip hardware resources aspossible. A more excessive consumption of those resources will result in a highermaximum speed of the emulated interface.Due to the restricted performance of an 8 bit microcontroller a pin compatible solution isprovided only; the internal register based programming interface is replaced by a set ofsubroutine calls.The attached source files also contain a test shell, which demonstrates how to exchangeinformation between an on-chip HW-SSC and the emulated SW-SSC via 5 external wiresin different operation modes. It is based on the SAB C513 (Siemens 8 bit microcontroller).A table with load measurements is presented to give an indication for the fraction of CPUperformance required by software for emulating the SSC.

    標(biāo)簽: synchronous Emulating serial

    上傳時(shí)間: 2014-01-31

    上傳用戶:z1191176801

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