數(shù)字與模擬電路設(shè)計(jì)技巧IC與LSI的功能大幅提升使得高壓電路與電力電路除外,幾乎所有的電路都是由半導(dǎo)體組件所構(gòu)成,雖然半導(dǎo)體組件高速、高頻化時(shí)會(huì)有EMI的困擾,不過(guò)為了充分發(fā)揮半導(dǎo)體組件應(yīng)有的性能,電路板設(shè)計(jì)與封裝技術(shù)仍具有決定性的影響。 模擬與數(shù)字技術(shù)的融合由于IC與LSI半導(dǎo)體本身的高速化,同時(shí)為了使機(jī)器達(dá)到正常動(dòng)作的目的,因此技術(shù)上的跨越競(jìng)爭(zhēng)越來(lái)越激烈。雖然構(gòu)成系統(tǒng)的電路未必有clock設(shè)計(jì),但是毫無(wú)疑問(wèn)的是系統(tǒng)的可靠度是建立在電子組件的選用、封裝技術(shù)、電路設(shè)計(jì)與成本,以及如何防止噪訊的產(chǎn)生與噪訊外漏等綜合考慮。機(jī)器小型化、高速化、多功能化使得低頻/高頻、大功率信號(hào)/小功率信號(hào)、高輸出阻抗/低輸出阻抗、大電流/小電流、模擬/數(shù)字電路,經(jīng)常出現(xiàn)在同一個(gè)高封裝密度電路板,設(shè)計(jì)者身處如此的環(huán)境必需面對(duì)前所未有的設(shè)計(jì)思維挑戰(zhàn),例如高穩(wěn)定性電路與吵雜(noisy)性電路為鄰時(shí),如果未將噪訊入侵高穩(wěn)定性電路的對(duì)策視為設(shè)計(jì)重點(diǎn),事后反復(fù)的設(shè)計(jì)變更往往成為無(wú)解的夢(mèng)魘。模擬電路與高速數(shù)字電路混合設(shè)計(jì)也是如此,假設(shè)微小模擬信號(hào)增幅后再將full scale 5V的模擬信號(hào),利用10bit A/D轉(zhuǎn)換器轉(zhuǎn)換成數(shù)字信號(hào),由于分割幅寬祇有4.9mV,因此要正確讀取該電壓level并非易事,結(jié)果造成10bit以上的A/D轉(zhuǎn)換器面臨無(wú)法順利運(yùn)作的窘境。另一典型實(shí)例是使用示波器量測(cè)某數(shù)字電路基板兩點(diǎn)相隔10cm的ground電位,理論上ground電位應(yīng)該是零,然而實(shí)際上卻可觀測(cè)到4.9mV數(shù)倍甚至數(shù)十倍的脈沖噪訊(pulse noise),如果該電位差是由模擬與數(shù)字混合電路的grand所造成的話,要測(cè)得4.9 mV的信號(hào)根本是不可能的事情,也就是說(shuō)為了使模擬與數(shù)字混合電路順利動(dòng)作,必需在封裝與電路設(shè)計(jì)有相對(duì)的對(duì)策,尤其是數(shù)字電路switching時(shí),ground vance noise不會(huì)入侵analogue ground的防護(hù)對(duì)策,同時(shí)還需充分檢討各電路產(chǎn)生的電流回路(route)與電流大小,依此結(jié)果排除各種可能的干擾因素。以上介紹的實(shí)例都是設(shè)計(jì)模擬與數(shù)字混合電路時(shí)經(jīng)常遇到的瓶頸,如果是設(shè)計(jì)12bit以上A/D轉(zhuǎn)換器時(shí),它的困難度會(huì)更加復(fù)雜。
標(biāo)簽: 數(shù)字 模擬電路 設(shè)計(jì)技巧
上傳時(shí)間: 2013-11-16
上傳用戶:731140412
數(shù)字與模擬電路設(shè)計(jì)技巧IC與LSI的功能大幅提升使得高壓電路與電力電路除外,幾乎所有的電路都是由半導(dǎo)體組件所構(gòu)成,雖然半導(dǎo)體組件高速、高頻化時(shí)會(huì)有EMI的困擾,不過(guò)為了充分發(fā)揮半導(dǎo)體組件應(yīng)有的性能,電路板設(shè)計(jì)與封裝技術(shù)仍具有決定性的影響。 模擬與數(shù)字技術(shù)的融合由于IC與LSI半導(dǎo)體本身的高速化,同時(shí)為了使機(jī)器達(dá)到正常動(dòng)作的目的,因此技術(shù)上的跨越競(jìng)爭(zhēng)越來(lái)越激烈。雖然構(gòu)成系統(tǒng)的電路未必有clock設(shè)計(jì),但是毫無(wú)疑問(wèn)的是系統(tǒng)的可靠度是建立在電子組件的選用、封裝技術(shù)、電路設(shè)計(jì)與成本,以及如何防止噪訊的產(chǎn)生與噪訊外漏等綜合考慮。機(jī)器小型化、高速化、多功能化使得低頻/高頻、大功率信號(hào)/小功率信號(hào)、高輸出阻抗/低輸出阻抗、大電流/小電流、模擬/數(shù)字電路,經(jīng)常出現(xiàn)在同一個(gè)高封裝密度電路板,設(shè)計(jì)者身處如此的環(huán)境必需面對(duì)前所未有的設(shè)計(jì)思維挑戰(zhàn),例如高穩(wěn)定性電路與吵雜(noisy)性電路為鄰時(shí),如果未將噪訊入侵高穩(wěn)定性電路的對(duì)策視為設(shè)計(jì)重點(diǎn),事后反復(fù)的設(shè)計(jì)變更往往成為無(wú)解的夢(mèng)魘。模擬電路與高速數(shù)字電路混合設(shè)計(jì)也是如此,假設(shè)微小模擬信號(hào)增幅后再將full scale 5V的模擬信號(hào),利用10bit A/D轉(zhuǎn)換器轉(zhuǎn)換成數(shù)字信號(hào),由于分割幅寬祇有4.9mV,因此要正確讀取該電壓level并非易事,結(jié)果造成10bit以上的A/D轉(zhuǎn)換器面臨無(wú)法順利運(yùn)作的窘境。另一典型實(shí)例是使用示波器量測(cè)某數(shù)字電路基板兩點(diǎn)相隔10cm的ground電位,理論上ground電位應(yīng)該是零,然而實(shí)際上卻可觀測(cè)到4.9mV數(shù)倍甚至數(shù)十倍的脈沖噪訊(pulse noise),如果該電位差是由模擬與數(shù)字混合電路的grand所造成的話,要測(cè)得4.9 mV的信號(hào)根本是不可能的事情,也就是說(shuō)為了使模擬與數(shù)字混合電路順利動(dòng)作,必需在封裝與電路設(shè)計(jì)有相對(duì)的對(duì)策,尤其是數(shù)字電路switching時(shí),ground vance noise不會(huì)入侵analogue ground的防護(hù)對(duì)策,同時(shí)還需充分檢討各電路產(chǎn)生的電流回路(route)與電流大小,依此結(jié)果排除各種可能的干擾因素。以上介紹的實(shí)例都是設(shè)計(jì)模擬與數(shù)字混合電路時(shí)經(jīng)常遇到的瓶頸,如果是設(shè)計(jì)12bit以上A/D轉(zhuǎn)換器時(shí),它的困難度會(huì)更加復(fù)雜。
標(biāo)簽: 數(shù)字 模擬電路 設(shè)計(jì)技巧
上傳時(shí)間: 2014-02-12
上傳用戶:wenyuoo
* DEFINITION * This is the header file for a library module used to calculate the median * of a list of values. It finds the value that would be in the center if * the list were sorted. If the list contains an even number of values, the * lower of the two center values is reported. The values themselves are not * sorted or modified in any way. This algorithm can be used as a filtering * tool for rejecting noisy data.
標(biāo)簽: DEFINITION calculate the library
上傳時(shí)間: 2015-09-07
上傳用戶:refent
數(shù)字圖像處理基礎(chǔ)理論,英文資料Restoration and Enhancement Space Pictures (blurred, noisy, distorted) Computerized Tomography Coding Transmission – Teleconferencing Storage – Land SAT Images Pattern Recognition Blood Cell Analysis Remote Sensing Robotic Vision Computer Graphics Flight Simulation Auto Body Design Special Effect in Movie
標(biāo)簽: 數(shù)字圖像處理
上傳時(shí)間: 2014-06-30
上傳用戶:plsee
This paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy sensors like vision and to approximate world models representing indoor ofce environments. The two major contributions of this work are the use of this technique in legged robots, and the use of an active camera as the main sensor
標(biāo)簽: localization mechanism presents proposal
上傳時(shí)間: 2016-11-04
上傳用戶:dianxin61
this file contain some useful common communication matlab m tool. like QAM PSK and simulation of receiving noisy signal
標(biāo)簽: communication simulation contain common
上傳時(shí)間: 2014-01-27
上傳用戶:蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)
this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
標(biāo)簽: spectrum describes how the
上傳時(shí)間: 2017-07-23
上傳用戶:金宜
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.
標(biāo)簽: filter efficient estimates recursive
上傳時(shí)間: 2017-08-06
上傳用戶:風(fēng)之驕子
對(duì)[1]的matlab實(shí)現(xiàn),有所改動(dòng),在計(jì)算新的點(diǎn)是否屬于平面時(shí)用點(diǎn)到平面的距離替換MSE,親測(cè)精度不變計(jì)算時(shí)間大大減少。 referenece [1]Junhao Xiao, Jianhua Zhang and Jianwei Zhang,'Fast Plane Detection for SLAM from noisy Range Images in Both Structured and Unstructured Environments',IEEE International Conference on Mechatronics & Automation,2011:1768-1773
標(biāo)簽: matlab 平面提取算法 點(diǎn)云數(shù)據(jù)
上傳時(shí)間: 2016-06-01
上傳用戶:李先生的大香港
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1