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restoring

  • restoring除法器設計 經典算法了

    restoring除法器設計 經典算法了，可以仿真通過

    標簽： restoring 除法器 算法

    上傳時間： 2014-01-21

    上傳用戶：aysyzxzm

  • A six people s rushing replies an implement, use some s switches in toggle switch K0 ~ K5 is that ON

    A six people s rushing replies an implement, use some s switches in toggle switch K0 ~ K5 is that ON accomplishes when rushing to reply button , nobody rush to answer, 6 numerical code circulation takes turns at demonstrating 1 ~ 6 (horse races) , who rushes to reply the numerical code stops having a ride on a horse , first, whose serial number, has simultaneous light of 6 numerical codes again afterwards the key presses down. System denies responding to, until this place is OFF batch , the wheel restoring 1 ~ 6 horse races starting time as soon as rushes to answer.

    標簽： implement switches rushing replies

    上傳時間： 2013-12-27

    上傳用戶：l254587896

  • 雅馬哈機器人操控軟件VIPplus

    VIP+ is support software for YAMAHA RCX series robot controllers. In addition to the functions of the previously released "VIP Windows" software, VIP+ includes an easy-to-use GUI (graphical user interface). VIP+ also allows control by 2 or more controllers or access to a controller from 2 or more clients via Ethernet connection. ● With VIP+ you can: ? Do offline editing of all data used on robot controllers ? Operate and monitor robots connected to robot controllers ? Do online editing of all data used with robot controllers ? Back up and restore robot controller data ● Functions and features newly added to VIP+: ? Ethernet connection to controllers ? Supports data input in spreadsheet software format ? Seamless backup and restoring of controller information such as point data ? Syntax coloring ? Data transfer between the online controller and an offline document by drag & drop ? Executes online commands using a terminal window ? Controller tree and document tree functions similar to Windows Explorer

    標簽： 雅馬哈 VIPplus

    上傳時間： 2015-11-18

    上傳用戶：anncol

  • 基于多尺度字典的圖像超分辨率重建

    Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.

    標簽： Super-resolution Multi-scale Dictionary Single Image for

    上傳時間： 2019-03-28

    上傳用戶：fullout

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