We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1 xng IR3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.
標(biāo)簽： demonstrate unorganized algorithm describe
上傳時(shí)間： 2013-12-18
上傳用戶：xc216
Flex chip implementation File: UP2FLEX JTAG jumper settings: down, down, up, up Input: Reset - FLEX_PB1 Input n - FLEX_SW switches 1 to 8 Output: Countdown - two 7-segment LEDs. Done light - decimal point on Digit1. Operation: Setup the binary input n number. Press the Reset switch. See the countdown from n down to 0 on the 7-segment LEDs. Done light lit when program terminates.
標(biāo)簽： down implementation settings UP2FLEX
上傳時(shí)間： 2014-01-21
上傳用戶：sclyutian
MATLAB Code for Optimal Quincunx Filter Bank Design Yi Chen July 17, 2006 This file introduces the MATLAB code that implements the two algorithms (i.e., Algorithms 1 and 2 in [1], or Algorithms 4.1 and 4.2 in [2]) used for the construction of quincunx filter banks with perfect reconstruction, linear phase, high coding gain, certain vanishing moments properties, and good frequency selectivity. The code can be used to design quincunx filter banks with two, three, or four lifting steps. The SeDuMi Matlab toolbox [3] is used to solve the second-order cone programming subproblems in the two algorithms, and must be installed in order for this code to work.
標(biāo)簽： introduces Quincunx Optimal MATLAB
上傳時(shí)間： 2014-01-15
上傳用戶：cc1
Quaternions are hypercomplex numbers (that is generalizations of the complex numbers to higher dimensions than two). For an introduction, refer to the Wikipedia article on Quaternions. Quaternion toolbox for Matlab® extends Matlab® to allow calculation with matrices of quaternions in almost the same way that one calculates with matrices of complex numbers. This is achieved by defining a private type to represent quaternion matrices and overloadings of many standard Matlab® functions. The toolbox supports real and complex quaternions (that is quaternions with four real or complex components).
標(biāo)簽： numbers generalizations hypercomplex Quaternions
上傳時(shí)間： 2014-11-27
上傳用戶：jhksyghr
軟件簡(jiǎn)介：HI-TECH PICC 是一款高效的C編譯器，支持Microchip PICmicro 10/12/14/16/17系列控制器。是一款強(qiáng)勁的標(biāo)準(zhǔn)C編譯器，完全遵守ISO/ANSI C，支持所有的數(shù)據(jù)類型包括24 and 32 bit IEEE 標(biāo)準(zhǔn)浮點(diǎn)類型。智能優(yōu)化產(chǎn)生高質(zhì)量的代碼。屬于第三方開發(fā)工具。能和MPLAB整合，內(nèi)嵌開發(fā)環(huán)境（HI－TIDE）。 Hi-tech PICC Compiler v8.注冊(cè)碼 Serial: HCPIC-88888 First Name: ONE Last Name: TWO Company Name:ONE TWO Registration: 任意填，但一定要填 Activation: NPCBACMJKLPCADKLOEDBFPIOCIBAEIDI
標(biāo)簽： HI-TECH PICC 軟件 C編譯器
上傳時(shí)間： 2016-12-16
上傳用戶：Andy123456
H.264/AVC, the result of the collaboration between the ISO/IEC Moving Picture Experts Group and the ITU-T Video Coding Experts Group, is the latest standard for video coding. The goals of this standardization effort were enhanced compression efficiency, network friendly video representation for interactive (video telephony) and non-interactive applications (broadcast, streaming, storage, video on demand). H.264/AVC provides gains in compression efficiency of up to 50％ over a wide range of bit rates and video resolutions compared to previous standards. Compared to previous standards, the decoder complexity is about four times that of MPEG-2 and two times that of MPEG-4 Visual Simple Profile. This paper provides an overview of the new tools, features and complexity of H.264/AVC.
標(biāo)簽： the collaboration between Experts
上傳時(shí)間： 2013-12-30
上傳用戶：dongbaobao
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標(biāo)簽： Programmer Networks entirely network
上傳時(shí)間： 2013-12-24
上傳用戶：liuchee
gcclib This gcc 1.40 suits for Linux kernel 0.11 - 0.95 Installtion hints ----------------- This suit contains include.taz, local.taz and this README file. You must download the bootimage and rootimage and install them first. The include.taz contains all the include files for using with gcc 1.40. The local.taz contains all the gcc tools & libs stored in two sepearted directories: /usr/local/lib /usr/local/bin You should copy the linux/ asm/ sys/ subdirectories into the include directory from the corresponding kernel source. Installation ------------ Goto the /usr directory. Untar the include.taz to the directory /usr/include. Untar the local.taz to the directory /usr/local. That s it! Example: -------- cd /usr tar zxvf include.taz tar zxvf local.taz
標(biāo)簽： Installtion gcclib kernel Linux
上傳時(shí)間： 2014-03-12
上傳用戶：源碼3
Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ％ architecture is defined by the matrix NetDef consisting of two ％ rows. The first row specifies the hidden layer while the second ％ specifies the output layer. ％
標(biāo)簽： back-propagation corresponding input-output algorithm
上傳時(shí)間： 2016-12-27
上傳用戶：exxxds
Small calculater GUI This GUI takes 2 user chosen numbers and applies a matchmatical operation on the two numbers. Also shows save and load functionality.
標(biāo)簽： matchmatical calculater GUI operation
上傳時(shí)間： 2013-12-19
上傳用戶：李彥東
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