yuyishibie

大地测量中的坐标转换，高斯正算，matlab代码(Geodetic coordinate conversion, Gaussian positive operator, matlab code)

计算机网络数据链路选择性重传实验。 　　设计一个滑动窗口协议，在仿真环境下编程实现有噪音信道环境下两站点之间无差错双工通信。信道模型为8000bps 全双工卫星信道，信道传播时延270毫秒，信道误码率为，信道提供字节流传输服务，网络层分组长度固定为256字节。(Computer network data link selective retransmission experiment. Design of a sliding window protocol in simulation programming environment there is no error duplex communication channel between the noisy environment the two sites. Channel model is 8000bps full-duplex satellite channel, the channel propagation delay 270 ms, channel bit error rate, channel provides a byte stream transmission services, network layer packet length is fixed at 256 bytes.)

使用MATLAB软件，应用吉布斯采样方法，对信号进行抽样(use MATLAB)

这个matlab程序实现了基于一种采用判别方法训练的多尺度和可变形的物体检测模型的目标检测算法，算法可参考如下两篇论文 ([1] P. Felzenszwalb, D. McAllester, D. Ramanan A Discriminatively Trained, Multiscale, Deformable Part Model Proceedings of the IEEE CVPR 2008 [2] P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan Discriminatively Trained Mixtures of Deformable Part Models PASCAL VOC Challenge 2008 )

小波提升算法的实现，欢迎大家交流指正，希望对您有帮助。(Wavelet Lifting Algorithm, welcome to the exchange correction, and they hope to help you.)

说明：  为建立供热管网的在线优化运圩、故障实时诊薪 及赏真分析和培训呆缆，必须建立一种高精度的蒸巍供热管 习动恋仿真模型。该模型将蒸汽处理成为单相可压缩洗件， 将营罔处理成为由节点南支路组成的一种网络结构。在仿真 计算中，采用隐式Euler算法、线性迭代方法和稀疏矩畦算 法隶解由物理模型所得的非线性擞分方程组。证明7|：角的 算法具有大范围收敛特性。此方法祷被应 于青岛百蒸汽供 热管网的工程项目中。(Steam heating network of dynamic simulation modeling)

该系统是OFDM系统仿真框图用simulink做的，并且可以计算出误码率，而且误码率很低(The system is OFDM system simulation using simulink block diagram to do, and can calculate the error rate, and low bit error rate)

用迭代法求解线性方程组：主要是Jacobi迭代法和Gauss-Seidel迭代法关于MATLAB源程序(Iterative method for solving linear equations: Jacobi iteration, and is mainly Gauss-Seidel iteration method on MATLAB source code)

FISTA 压缩感知的图像使用快速迭代shrinkage-thresholding算法(小波sparsifying转换 傅氏域抽样磁共振成像和氡转换断层测量)( FISTA compression perception of image using fast iterative shrinkage- thresholding algorithm (magnetic resonance imaging (fmri) wavelet sparsifying transform fourier-domain sampling and measuring radon transform fault) )

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