cplexbilp.m

linear conjugate gradient

无线局域网的接纳控制算法，用于802.11wlan 的高效接纳控制算法(Wireless LAN admission control algorithm for 802.11wlan efficient admission control algorithm)

改进的分段线性表示方法，含有四种基本算法，自顶向下，自底向上，滑窗，以及滑窗式自底向上算法。是流行的降维、分类算法。改进之后，所得出的线段是连续的，解决了离散线段带来的不便。(Rewised PLR algorithms inclusing four basic methods: top down, bottom up, sliding window and sliding window bottom up. PLR is a popular algorithm for classification and demension reduction. )

多目标检测，可用于视频监控，视觉目标跟踪，运动检测，及其它图像处理中的相关应用。(This code contains multiple object detection adaptable to visual surveillance, visual object tracking, motion estimation and other image processing applications.)

Instrument Control Toolbox 2 supports industry-standard IVI and VXIplug&play drivers, as well as stand-alone MATLAB instruments drivers. This archive contains examples of using these drivers.

波束域降阶Root-MUSIC算法,在子阵分解降阶的基础上,进一步将多项式的求根阶次降到与源数目相同,提出了求解降阶多项式的方法。该方法最大程度地减少了求根多项式的阶次和求解多项式的次数,并保持了Root-MUSIC算法的优良性能。显著降低运算量是其最大优点,仿真结果验证了降阶算法的有效性,并比较了不同阶次波束域Root-MUSIC算法的估计性能。 (Beamspace Reduced Order Root-MUSIC algorithm, based on the reduced-order sub-array decomposition further order of the polynomial rooting down with the same number of sources, proposed to solve the reduced-order polynomial method. This method minimizes the number of polynomial order and solving polynomial rooting and maintain the excellent performance of Root-MUSIC algorithm. Significantly reduce the amount of computation is its biggest advantage, simulation results show the effectiveness of the reduced-order algorithm, and compare the performance of different estimates of the order beamspace Root-MUSIC algorithm.)

It talks about the used functions used for editing images with matlab

一些血液模型动力学仿真的文章，希望能够对需要的同学有一些帮助。(Some of the blood dynamics simulation model of the article, I hope to be able to have some students who required help.)

DCT给灰度图像加二值的水印信息，运行显示四幅图，分别是原图像，水印图像，加水印的图像和提取的水印图像(DCT to gray image plus two watermark values, run the show four maps are the original image, watermark image, add watermark image and extracted watermark image)

Objectives: The main objectives of this project: 1. Enhancement using spatial domain approach. 2. Effects of filter size, noise type and level, and repeated application. 3. Performance of Image Averaging Technique.