waveletsunshangfenxi

以MATcom为内核的C++程序，调用MATLAB拟合衰减振荡曲线（多线程）(In MATcom as the core C++ program, call the MATLAB fitting damped oscillation curve (multi-threading))

利用参数辨识法提取相关对准参数，从而估计出陀螺漂移和数学平台偏角并进行补偿。仿真结果表明，开路罗经法对准具有较高的对准精度、较好的快速性，能够满足捷联惯导系统在静基座下实现自对准的要求。(Expressions of mathematical platform misalignment angles of the open-loop algorithm are derived and parameter identification method is used to pick-up the corresponding coefficients from angle measurements in order to identify and compensate gyro drifts and platform misalignment．The simulation results show that the open circuit gyrocompass alignment of SINS can all meet the requirement of SINS initial alignment with high accuracy and quick reaction on static base. thus can meet the high-precision alignment requirement of carrier based inertial navigation system on swinging base． )

2005MCMA题程序源码，本程序源码码是自己编的，如有不足请见谅 (2005MCMA title of the program source code, the program' s source code is compiled, if insufficient please forgive me)

仿真火车站的站场图，可以办理进路，显示信号机，单操，单锁道岔等功能(Simulation Station station map, you can handle into the road.)

Image restoration using inverse filter

This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA. Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.

WGS 转换到Carser WGS 转换到Carser(ConvertWGStoCarser ConvertWGStoCarser ConvertWGStoCarser)

admm，压缩感知的重构程序，内有仿真信号(admm，compressive sensing)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

使用CMakeList重新组织的SBA，即稀疏矩阵光束法平差算法，希望对大家有用(Use CMakeList reorganize the SBA, namely sparse matrix bundle adjustment algorithm, we hope to useful)