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ldpc编码，在加性高斯白噪声情况下描述出它的误码率随信噪比变化的情况(ldpc coding, in the additive white Gaussian noise cases, describe its bit error rate with signal to noise ratio the changes in the)

马尔科夫随机场的图像分割方法，对图像的分割比较精确，运行时间较短(Image segmentation based on markover)

说明：  matlab 闭曲线B样条的拟合，算例可直接使用，使用时只需要修改nq文件或者aline文件中的u1即可，也可定义u1后直接run aline(matlab closed B-spline curve fitting, numerical example can be used directly, using only a need to amend the nq documents or document aline can u1, u1 can be defined also directly run aline)

OFDM系统中 抗多径衰落的 仿真，matlab实现(OFDM SYSTEM)

lqg controller for uav

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)

王永良等编著的《空时自适应信号处理》是对雷达信号进行空时二维处理的经典教材，值得参考(Wang Yongliang ed space-time adaptive signal processing " is a classic textbook, it is worth the two-dimensional space-time radar signal processing reference)

改进的非相干信号子空间宽带测向算法(最大功率频点选择)(Improved non-coherent signal subspace wideband direction finding algorithm (maximum power frequency selection))

通过此卡尔曼滤波，可获得比较精准的载体位置，速度，加速度等信息。(Through the kalman filter, can get a more accurate carrier position, velocity, acceleration and other information.)

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