autopilot

an algorittm for 3 RRR robot , control u should upload at least five sourcecodes/documents

Comparison between NSGA-II and e-MOEA(NSGA-II+vs.+e-MOEA)

Beginning C for Arduino

liu超混沌系统的时序图及liu超混沌系统的相轨迹图的程序(Timing Diagram liu liu hyperchaotic system and hyperchaotic system phase trajectory program)

for gps tracking acquision satellite position and velocity finding

多种基于内容的视频检索镜头分割算法matlab程序，主要是检测突变，有基于直方图的方法，基于X2直方图的方法，基于像素的方法以及基于边缘轮廓法对比！对于这一领域的研究具有很好的入门作用！也是本人毕业论文所写的！视频文件建议先分离掉声音，仅保留图像系列,文件须为mpg!(A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, there is histogram-based method, based on the X2 histogram method, pixel-based methods and edge contour method based on the contrast! Research in this area for a good entry role! My thesis is written! Suggest that separation of video files sound out, retaining only the image series, have to file for mpg!)

输入年月日显示星期 输入年月日显示星期(输入年月日显示星期)

相位编码脉冲压缩雷达的多普勒补偿偿算法，实现对信号的补充可直接使用。 (Phase-coded pulse compression radar, Doppler compensation compensation algorithm, to supplement the signal can be used directly.)

ofdm modulation in matlab

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)