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[Other resourceBIQPBOX

Description: %BIQPBOX Bisection reflective line search for sqpbox % [nx,nsig,alpha] = BIQPBOX(s,c,strg,x,y,sigma,l,u,... % oval,po,normg,DS,mtxmpy,data,H) % returns the new feasible point nx, the corresponding sign vector nsig, % and the step size of the unreflected step, alpha. % Copyright (c) 1990-98 by The MathWorks, Inc. % $Revision: 1.2 $ $Date:
Platform: | Size: 1698 | Author: 张风 | Hits:

[Embeded Linuxsmp86xx_rootfs.tar.bz2

Description:

 sigma smp8634/8635 toolchain rootfs building source.

=================

Readme.txt

=================

 

This is the Sigma Designs customization of the root file system for the

SMP86xx family of chips.

 

This package is of course heavily depending on the toolchain and kernel

packages.

 

Quick HOW-TO

============

a) You need to have a working toolchain package. Once you have built your 

   toolchain, be sure to source toolchain-path.env. This is required for you to

   be able to build the rootfs package.

b) Untar the rootfs package.

c) First, configure your root file system: 'make menuconfig'. All the options 

   in the configuration menus have detailed help. Once you are satisfied with

   your choice of options, exit and save the configuration.

d) If you are using the toolchain composed of gcc 3.4.2, binutils 2.15.91.0.2,

   and uClibc 0.9.27 (defined in the toolchain package) then you must select

   Busybox 1.00 from the 'Package Selection for the target --->' menu.

   If on the other hand you are using the toolchain composed of gcc 4.0.4,

   binutils 2.17, and uClibc 0.9.28.3 then you must select Busybox 1.5 from

   the 'Package Selection for the target --->' menu.

e) If you chose to customize your root file system (option 'customize' in

   submenu 'Package Selection for the target'), be sure to prepare your custom

   files now.

f) Run 'make' to produce your root file system.

 

IMPORTANT NOTE: as of this release, the only supported option in the 'Target 

Options' menu is 'cramfs root filesystem for the target device' (with all its

suboptions). Any other option is currently unsupported and some are known to

not work.

 

Once you are through with step e), your root file system is available in the

main directory of the package as 'root_fs_mipsel.cramfs'.

 

Note about the integration with the toolchain and the kernel source packages

============================================================================

The rootfs package is now integrated with the toolchain package and the 

kernel source package and is able to interact with them in the following

ways:

 

 a) it can grab the necessary runtime libraries from the toolchain package.

 b) it can receive the kernel modules and support files from the kernel source

    package.

 c) the kernel source package can use the produced rootfs image for its initial

    RAM disk.

 

For interaction a) to take place, the SMP86XX_TOOLCHAIN_PATH environment 

variable must be defined and it must point to the main directory of the 

produced toolchain. The easiest way to achieve that is by sourcing the

'toolchain-path.env' environment file after it is produced at the end of the

toolchain production.

 

Note that defining SMP86XX_TOOLCHAIN_PATH is not optional. The build will not

go through unless the environment variable is defined and points to a correct

location. This is because, even if the build went through, the resulting root

file system would be unusable as it would not provide *any* run time library.

 

For interactions b) and c) to take place, the SMP86XX_ROOTFS_PATH environment

variable must be defined and must point to the main directory of the rootfs

package. The easiest way to achieve that is by sourcing the 'rootfs-path.env'

environment file after it is produced, right after your run 'make' or 

'make menuconfig' for the first time.

 

When SMP86XX_ROOTFS_PATH is defined and points to a valid location, the kernel

source package is able to:

 

 b) install its modules to the correct location under the customization 

    directory ('package/customize/source') in the rootfs package. In order to

    then make sure the modules end up in the produced rootfs image, you must

    select the 'customize' option under the 'Package Selection for the target'

    menu in 'make menuconfig'.

 c) grab the produced rootfs image (root_fs_mipsel.cramfs) and use it for its

    initial RAM disk.

 

Thus, in order to produce a rootfs holding the kernel modules and use it as the

kernel initial RAM disk, you need to go through the following steps in order

(note: this is convoluted):

 1) optionally build the toolchain (or use an existing one, more recent than

    2.6.90.0)

 2) source toolchain-path.env in the toolchain package directory

 3) configure the rootfs package with the 'customize' option on in the

    'Package Selection for the target' menu

 4) source 'rootfs-path.env' in the rootfs package directory

 5) configure the kernel, review what is configured as modules, 'make dep'

 6) 'make modules' in the kernel source directory

 7) the 'modules_install' target for the kernel needs that the system map be

    already produced. In order to achieve that, build a first version of the

    kernel: 'make vmlinux'

 8) 'make modules_install' in the kernel source directory. The modules are now

    installed in the rootfs package customization directory.

 9) 'make' in the rootfs package directory. You have now produced a rootfs 

    image holding the kernel modules.

10) 'make' in the kernel source directory. You have now produced a linux ZBF

    image with an initrd holding the kernel modules.

    

Coming features

===============

N/A

 

Troubleshooting

===============

a) when building the cramfs utility tool, the compiler complains that it can't

   find 'zlib.h' or '-lz'.

 

   You need to have the development version of zlib installed on your system.

   How to do that depends on your distribution.

 

 


Platform: | Size: 234248 | Author: mattli001 | Hits:

[Picture Viewerloadbitmap

Description: 在DOS下显示16色位图的源程序 在DOS下显示16色位图的源程序-displayed in the DOS 16-bit color map of the source in the DOS display 16-bit color map of the source
Platform: | Size: 3072 | Author: 孙西 | Hits:

[matlabBIQPBOX

Description: %BIQPBOX Bisection reflective line search for sqpbox % [nx,nsig,alpha] = BIQPBOX(s,c,strg,x,y,sigma,l,u,... % oval,po,normg,DS,mtxmpy,data,H) % returns the new feasible point nx, the corresponding sign vector nsig, % and the step size of the unreflected step, alpha. % Copyright (c) 1990-98 by The MathWorks, Inc. % $Revision: 1.2 $ $Date: - BIQPBOX Bisection reflective line search for sqpbox [nx, nsig, alpha] = BIQPBOX (s, c, strg, x, y, sigma, l, u ,... oval, po, normg, DS, mtxmpy, data , H) returns the new feasible point nx, the corresponding sign vector nsig, and the step size of the unreflected step, alpha. Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date:
Platform: | Size: 1024 | Author: 张风 | Hits:

[matlabscaledSymmetricSigmaPoints

Description: 刚刚漏了补充这个程序,是UKF里计算sigma点的程序,不好意思-sigma point
Platform: | Size: 1024 | Author: 张艺谋 | Hits:

[matlabUKF

Description: 自己写的UKF滤波程序,使用2n+1Sigma点采样-UKF filter written by myself, using 2n+1 Sigma-point sampling
Platform: | Size: 3072 | Author: ZHUANG | Hits:

[Windows Develop2n_ukf

Description: 比较特殊的unsented 卡尔曼滤波器 只采用了2n个sigma points而不是2n+1 减少了运算时间-2N sigma point kalman filter
Platform: | Size: 157696 | Author: chai | Hits:

[matlabsppf

Description: 粒子滤波算法:Sigma-Point Particle Filter 算法(SPPF)用于非线性滤波估计问题,例如:导航,定位,跟踪等等应用-Particle filter algorithm: Sigma-Point Particle Filter algorithm (SPPF) estimation problem for nonlinear filtering, such as: navigation, positioning, tracking, and so on,for application
Platform: | Size: 3072 | Author: jery | Hits:

[transportation applicationsUKF

Description: GPS定位采用UKF滤波方式。包括调用的数据dat文件(选用卫星数据和机动目标运行轨迹数据)和调用的sigma点生成子程序。运行可观察定位误差(位置、速度和加速度)-GPS positioning using UKF filtering method. The data include call dat file (optional operation of satellite data and maneuvering target trajectory data) and the sigma point generation subroutine calls. Run positioning errors can be observed (position, velocity and acceleration)
Platform: | Size: 734208 | Author: 刘卫菠 | Hits:

[matlabactiveContoursSnakesDemo

Description: 本演示实现了主动轮廓模型由Kass等人提出。 要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面,点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面 一旦GUI已经启动,您可以通过使用蛇 1。点击“新形象”,并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”,头发会出现交叉,用他们和你左击鼠标,您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下,你应该单击对象周围的一切你想要的部分。最后一点,必须挑选使用右键单击,以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数(在能源方面的相对权重的蛇目标函数)或离开它们的默认值,然后按一下他们“迭代”按钮。蛇会出现和移动,因为它收敛到它的低能量状态。-This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete
Platform: | Size: 333824 | Author: zhou | Hits:

[matlabSigma-Point-Kalman-Filtering-for

Description: sigma点卡尔曼滤波在跟踪中的应用,能够实现较好的跟踪效果-sigma point Kalman filter in tracking application, can achieve better tracking
Platform: | Size: 875520 | Author: Elvira | Hits:

[matlabkalmanfilter09

Description: kalman滤波编程,对误差进行分析,俩个图像-kalman filtering sigma point
Platform: | Size: 1024 | Author: 黄石 | Hits:

[Special Effectssigmal-point-kalman-filters-in-DSSM

Description: 基于sigma-point的卡尔曼滤波法,用于动态状态空间模型,包括UKF与CDKF,是国外的博士论文,文中给出了各算法的仿真代码-Based on sigma-point Kalman filtering for dynamic state space models, including the UKF and CDKF, the foreign doctoral dissertation, which gives the algorithm of the simulation code
Platform: | Size: 5151744 | Author: 夜思明 | Hits:

[matlabReBEL-0.2.7

Description: 包括kf,ekf,pf,upf可以自己定制模型参数,完成滤波-ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation: Kalman filter Extended Kalman filter Sigma-Point Kalman filters (SPKF) Unscented Kalman filter (UKF) Central difference Kalman filter (CDKF) Square-root SPKFs Gaussian mixture SPKFs Iterated SPKF SPKF smoothers Particle filters Generic SIR particle filter Gaussian sum particle filter Sigma-point particle filter Gaussian mixture sigma-point particle filter Rao-Blackwellized particle filters The italicized algorithms above are not fully functional yet (or included in the current release), but will be in the next or future releases. The code is designed to be as general, modular and extensible as possible, while at the same time trying to be as computationally efficient as possible. It has been tested with Matlab 7.2 (R2006a).
Platform: | Size: 1608704 | Author: zhangsimin | Hits:

[Software EngineeringvanderMerwe_GNC2004

Description: Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion - Applications to Integrated Navigation -
Platform: | Size: 1171456 | Author: thalu | Hits:

[Algorithmbinary

Description: 二叉树方法计算信用风险溢价 参数说明: V:公司资产市场价值初值 r:市场无风险利率 sigma:企业资产市场价值波动率 T:期限 num:二叉树层数 dp:违约点,即债权价值 输出结果: M:公司的风险溢价 -The binomial tree method to calculate the credit risk premium Parameters: V: the market value of assets initial value r: market risk-free rate sigma: Enterprise market value of assets volatility T: Term the num: binary tree layers dp: default point, ie, the value of claims Output: M: The risk premium
Platform: | Size: 1024 | Author: shaopeng | Hits:

[Special EffectsThe-Iterated--Filter

Description: 国外的迭代非线性滤波,比UKF更为实用,以往对大家有帮助-the The Iterated Sigma Point Kalman Filter,is more efficient than UKF
Platform: | Size: 342016 | Author: 吴旭 | Hits:

[AlgorithmGaussPDF

Description: 计算高斯分布各点的密度。 输入高斯分布的miu,sigma,以及所求点,可以得到该点密度。-Calculate Gaussian distribution of the density of the various points. Enter the Gaussian distribution miu, sigma, and the demand point density can get the point.
Platform: | Size: 1024 | Author: Miaotk | Hits:

[matlabsigma-point

Description: Implementation of sigma-point Kalman filters in MATLAB-Implementation of sigma-point Kalman filters in MATLAB
Platform: | Size: 3072 | Author: scotch | Hits:

[OtherSigma-point-Kalman-_lter-for-bearing-only-trackin

Description: Sigma point Kalman fi lter for bearing only tracking S. Sadhua,, S. Mondal b , M. Srinivasana , T.K. Ghoshal a a Department of Electrical Engineering, Jadavpur University, Kolkata-700032, India b Department of Mechanical Engineering, IIT Kharagpur 721302, India Received 10 August 2005 received in revised form 14 December 2005 accepted 12 March 2006 Available online 6 April 2006-Sigma point Kalman fi lter for bearing only tracking S. Sadhua,, S. Mondal b , M. Srinivasana , T.K. Ghoshal a a Department of Electrical Engineering, Jadavpur University, Kolkata-700032, India b Department of Mechanical Engineering, IIT Kharagpur 721302, India Received 10 August 2005 received in revised form 14 December 2005 accepted 12 March 2006 Available online 6 April 2006
Platform: | Size: 177152 | Author: Gomaa Haroun | Hits:
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