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Fast

  • 點云數據平面提取算法matlab程序

    對[1]的matlab實現,有所改動,在計算新的點是否屬于平面時用點到平面的距離替換MSE,親測精度不變計算時間大大減少。 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

    標簽: matlab 平面提取算法 點云數據

    上傳時間: 2016-06-01

    上傳用戶:李先生的大香港

  • ICA源分離

    Fast fixed-point ICA算法的Matlab實現

    標簽: ICA 分離

    上傳時間: 2016-08-31

    上傳用戶:ysystc670

  • MCF5223XFS

    Connecting 32-bit controlled applications in the industrial, commercial and consumer markets is Fast becoming a necessity rather than an option. Many new applications, such as remote data collection, home automation and networked appliances, require secure, high-performance connectivity at an economical price. Freescale Semiconductor gives design engineers the flexibility to choose the right 32-bit microcontroller from a broad portfolio of ColdFire? embedded controllers.

    標簽: 5223 MCF XFS

    上傳時間: 2017-02-18

    上傳用戶:traff07

  • A pipeline Fast fourier transform

    一中流水線結構的FFT,構建的一中新的FFT,基于流水線結構使得其運行速度更快,更適合實用。

    標簽: transform pipeline fourier Fast

    上傳時間: 2018-03-26

    上傳用戶:lpyaking

  • QuasarRAT-1.3.0.0

    C#遠控源代碼 * TCP network stream (IPv4 & IPv6 support) * Fast network serialization (NetSerializer) * Compressed (QuickLZ) & Encrypted (AES-128) communication * Multi-Threaded * UPnP Support * No-Ip.com Support * Visit Website (hidden & visible) * Show Messagebox * Task Manager * File Manager * Startup Manager * Remote Desktop * Remote Webcam * Remote Shell * Download & Execute * Upload & Execute * System Information * Computer Commands (Restart, Shutdown, Standby) * Keylogger (Unicode Support) * Reverse Proxy (SOCKS5) * Password Recovery (Common Browsers and FTP Clients) * Registry Editor

    標簽: QuasarRAT

    上傳時間: 2019-04-21

    上傳用戶:netangels

  • R-SLAM--Resilient localization and mapping

    Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or Fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.

    標簽: localization environments challenging Resilient mapping R-SLAM and in

    上傳時間: 2019-09-15

    上傳用戶:zhudx2007

  • AD8001AR

    transimpedance linearization circuitry. This allows it to drive video loads with excellent differential gain and phase perfor mance on only 50 mW of power. The AD8001 is a current feedback amplifier and features gain flatness of 0.1 dB to 100 MHz while offering differential gain and phase error of 0.01% and 0.025°. This makes the AD8001 ideal for professional video electronics such as cameras and video switchers. Additionally, the AD8001’s low distortion and Fast settling make it ideal for buffer high-speed A-to-D converters. The AD8001 offers low power of 5.5 mA max (VS = ±5 V) and can run on a single +12 V power supply, while being capable of delivering over 70 mA of load current. These features make this amplifier ideal for portable and battery-powered applications where size and power are critical. The outstanding bandwidth of 800 MHz along with 1200 V/μs of slew rate make the AD8001 useful in many general purpose high-speed applications where dual power supplies of up to ±6 V and single supplies from 6 V to 12 V are needed. The AD8001 is available in the industrial temperature range of –40°C to +85°C.

    標簽: 8001 AD AR

    上傳時間: 2020-04-21

    上傳用戶:su1254

  • Fast orthonormal PAST algorithm

    abed-meraim IEEE SIGNAL PROCESSING LETTERS, VOL. 7, NO. 3, MARCH 2000

    標簽: orthonormal algorithm Fast PAST

    上傳時間: 2020-04-29

    上傳用戶:LacrimosaMozart

  • Data+Processing+in+Smart+Cities

    Smart Grids provide many benefits for society. Reliability, observability across the energy distribution system and the exchange of information between devices are just some of the features that make Smart Grids so attractive. One of the main products of a Smart Grid is to data. The amount of data available nowadays increases Fast and carries several kinds of information. Smart metres allow engineers to perform multiple measurements and analyse such data. For example, information about consumption, power quality and digital protection, among others, can be extracted. However, the main challenge in extracting information from data arises from the data quality. In fact, many sectors of the society can benefit from such data. Hence, this information needs to be properly stored and readily available. In this chapter, we will address the main concepts involving Technology Information, Data Mining, Big Data and clustering for deploying information on Smart Grids.

    標簽: Processing Cities Smart Data in

    上傳時間: 2020-05-23

    上傳用戶:shancjb

  • Data+Processing+in+Smart+Cities

    Smart Grids provide many benefits for society. Reliability, observability across the energy distribution system and the exchange of information between devices are just some of the features that make Smart Grids so attractive. One of the main products of a Smart Grid is to data. The amount of data available nowadays increases Fast and carries several kinds of information. Smart metres allow engineers to perform multiple measurements and analyse such data. For example, information about consumption, power quality and digital protection, among others, can be extracted. However, the main challenge in extracting information from data arises from the data quality. In fact, many sectors of the society can benefit from such data. Hence, this information needs to be properly stored and readily available. In this chapter, we will address the main concepts involving Technology Information, Data Mining, Big Data and clustering for deploying information on Smart Grids.

    標簽: Processing Cities Smart Data

    上傳時間: 2020-05-25

    上傳用戶:shancjb

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