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iscsi-target

  • stm32小量iap

    1.此代碼基于紅牛開發板,請根據自己的板子進行修改。 2.通過修改網上的代碼實現,修改前的功能開了一個很大的緩存接收app數據,然后一次性全部數據寫入, 但是這個在實際應用中沒多大用,所以修改為一次寫入128個字節。 3.程序flash的偏移地址為0x8010000,所以app編譯前應該在mdk中設置 Option窗口->Target頁->IROM1,start 改為 0x8010000 4.設置中斷向量重映射,我用的方法是在app端的main函數起始位置添加語句 SCB->VTOR = FLASH_BASE | 0x10000; 5.啟動時如果發現沒有app,會進入bootloader模式(燈全亮),如果發現有程序就要看程序的功能了。 如果有app,但是又想重新升級的話就按住某個鍵(我這里是Tamper),然后按復位,松開復位之前不要松開 按鍵,這樣就會進入bootloader模式。 6.進入bootloader后通過串口1接收升級app數據,bin文件數據,接收完成后按User1鍵進行升級操作,完成后 復位或者按User2鍵可以運行剛寫入的app。

    標簽: stm32 iap

    上傳時間: 2015-05-18

    上傳用戶:llma2017

  • 傳感器網絡中基于到達時間差有效的凸松弛方法的穩健定位

    We consider the problem of target localization by a network of passive sensors. When an unknown target emits an acoustic or a radio signal, its position can be localized with multiple sensors using the time difference of arrival (TDOA) information. In this paper, we consider the maximum likelihood formulation of this target localization problem and provide efficient convex relaxations for this nonconvex optimization problem.We also propose a formulation for robust target localization in the presence of sensor location errors. Two Cramer-Rao bounds are derived corresponding to situations with and without sensor node location errors. Simulation results confirm the efficiency and superior performance of the convex relaxation approach as compared to the existing least squares based approach when large sensor node location errors are present.

    標簽: 傳感器網絡

    上傳時間: 2016-11-27

    上傳用戶:xxmluo

  • 卡爾曼濾波的圖像目標跟蹤

    卡爾曼濾波的圖像目標跟蹤target tracking using kalman

    標簽: 卡爾曼濾波 圖像 目標跟蹤

    上傳時間: 2017-04-12

    上傳用戶:暖陽!!

  • CCs應用

    關于CCS調試,目標板配置advanced target configuration

    標簽: CCs

    上傳時間: 2017-05-19

    上傳用戶:mzd1207

  • 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

  • Adaptive Antennas and Receivers

    Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of three sequentially complementary approaches for increasing the probability of target detection within at least some of the cells of the surveillance volume for a spatially nonGaussian or Gaussian “noise” environment that is temporally Gaussian. This approach, identified in the Preface as Approach A, partitions the surveillance volume into homogeneous contiguous subdivisions.

    標簽: Receivers Adaptive Antennas and

    上傳時間: 2020-05-26

    上傳用戶:shancjb

  • Efficient+Methods+for+WCDMA

    When joining Siemens in 2001, I also extended my research interest towards radio net- work planning methodologies. This area of research brought together my personal interest in mobile communications and in the design of efficient algorithms and data structures. Between 2001 and 2003, I participated in the EU project Momentum, which was target- ing the performance evaluation and optimization of UMTS radio networks. I

    標簽: Efficient Methods WCDMA for

    上傳時間: 2020-05-27

    上傳用戶:shancjb

  • Ecodesign+Preparatory+Study

    Since the 1990s the EU has been pursuing climate change mitigation targets. Following the international commitment to the legally binding greenhouse gas reduction under the Kyoto Protocol, the 2020 policy package consists of a set of binding legislation to ensure that the EU meets its climate and energy targets for the year 2020. The package sets three key targets: 20% reduction in greenhouse gas emissions (from 1990 levels), 20% of EU energy from renewables (as well as a 10% target for renewable fuels) and 20% improvement in energy efficiency. The targets were set by EU leaders in 2007 and enacted in legislation in 2009 3 . They are also headline targets of the Europe 2020 strategy for smart, sustainable and inclusive growth.

    標簽: Preparatory Ecodesign Study

    上傳時間: 2020-06-06

    上傳用戶:shancjb

  • Digital+Signal+Processing+for+RFID

    Identification is pervasive nowadays in daily life due to many complicated activities such as bank and library card reading, asset tracking, toll collecting, restricted access to sensitive data and procedures and target identification. This kind of task can be realized by passwords, bio- metric data such as fingerprints, barcode, optical character recognition, smart cards and radar. Radiofrequencyidentification(RFID)isatechniquetoidentifyobjectsbyusingradiosystems. It is a contactless, usually short distance, wireless data transmission and reception technique for identification of objects. An RFID system consists of two components: the tag (also called transponder) and the reader (also called interrogator).

    標簽: Processing Digital Signal RFID for

    上傳時間: 2020-06-08

    上傳用戶:shancjb

  • RFID AND SENSOR NETWORKS Architectures

    Radio frequency identification (RFID) technology is witnessing a recent explosion of development in both industry and academia. A number of applications include supply chain management, electronic payments, RFID passports, environmental monitoring and control, office access control, intelligent labels, target detection and tracking, port management, food production control, animal identification, and so on. RFID is also an indispensable foundation to realize the pervasive computing paradigm—“Internet of things.” It is strongly believed that many more scenarios will be identified when the principles of RFID are thoroughly understood, cheap components available, and when RFID security is guaranteed.

    標簽: Architectures NETWORKS SENSOR RFID AND

    上傳時間: 2020-06-08

    上傳用戶:shancjb

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