位置敏感探測器PSD（Position Sensitive detector PSD）具有位置分辨精度高（可達(dá)1～2 μm）、輸出實(shí)時性好（響應(yīng)時間約幾微秒）、系統(tǒng)簡潔的特點(diǎn)，在位置探測及相關(guān)領(lǐng)域內(nèi)獲得了廣泛的應(yīng)用；但PSD的輸出信號小，易受到電路噪聲的影響，若要充分發(fā)揮其性能，則需要高精度、高穩(wěn)定度、低噪聲的測量電路。針對PSD這種較高的使用要求，通過對其等效模型的分析，找到了影響位置分辨精度的主要因素，并提出了一種新形式的測量電路，減少了測量電路級數(shù)，降低了電路的噪聲以及測量電路內(nèi)部的漂移，同時具有對位置測量非線性的校正功能。采用上述原理以S1880 PSD建立的位置測量系統(tǒng)的位置分辨達(dá)到2～3 μm。
標(biāo)簽： 敏感探測器 微位移 測量 電路設(shè)計(jì)
上傳時間： 2013-11-06
上傳用戶：skhlm
This program provides an example of how to configure the C8051F02x device to operate from an external 22.1184MHz crystal attached to the XTAL1 andXTAL2 pins. Also enables Missing Clock detector.
標(biāo)簽： C8051F02x configure provides program
上傳時間： 2014-01-09
上傳用戶：1079836864
鎖相回路可視為一個輸出相位和輸入相位的回授系統(tǒng)用以同步輸入?yún)⒖加嵦柡突厥诤筝敵鲂盘枴２⒆屍洳僮魍瑯拥念l率。如(圖一)所示，簡單鎖相回路[3,4]是由三個電路構(gòu)成，分別為相位偵測器（Phase detector）、回路濾波器（Loop Filter）、壓控蕩器（VCO）
上傳時間： 2015-08-16
上傳用戶：franktu
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.
標(biāo)簽： multiuser detection adaptive subspace
上傳時間： 2015-09-07
上傳用戶：xieguodong1234
It may analyze the window structure, the advancement and the window news, has the very greatly auxiliary function to the development work. When we need to study some object, so long as assigns out its search window, drives the detector the indicator to assign the window/to control on to release then. Under, the author on and everybody same place, makes with VC to belong to own Spy++.
標(biāo)簽： the window advancement structure
上傳時間： 2013-12-31
上傳用戶：ghostparker
This paper presents the key circuits of a 1MHz bandwidth, 750kb/s GMSK transmitter. The fractional-N synthesizer forming the basis of the transmitter uses a combined phasefrequency detector (PFD) and digital-to-analog converter (DAC) circuit element to obtain >28dB high frequency noise reduction when compared to classicalfrequency synthesis.
標(biāo)簽： fractional-N transmitter bandwidth circuits
上傳時間： 2016-04-14
上傳用戶：er1219
SIFT代碼，包括detector & descriptor.Matlab版本，內(nèi)有詳細(xì)的說明文檔。值得一看
上傳時間： 2014-11-18
上傳用戶：helmos
極大值抑制與雙閾值門限得到圖像邊緣： * nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It optionally returns sub-pixel feature locations.
標(biāo)簽： nonmaxsuppts thresholding suppression non-maxima
上傳時間： 2016-07-08
上傳用戶：guanliya
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
標(biāo)簽： 計(jì)算機(jī)視覺
上傳時間： 2015-03-15
上傳用戶：sb_zhang
19.2 Mbps 4x4 BLAST&MIMO detector with soft ML outputs。純英文論文，外國文獻(xiàn)
上傳時間： 2015-04-21
上傳用戶：asdf20
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