Height Inversion

雷达技术 雷达距离压缩 多普勒成像 相关的处理方法-Radar technology radar Doppler imaging from compression of the treatment-related

说明：  徒步穿越荒漠数学模型 研究的是徒步穿越荒漠耗资及行程时间安排的最优化问题(across the desert on foot mathematical model study of crossing the desert on foot and the cost of the trip scheduling optimization problems)

水文管理信息系统，整理水文数据，绘制水文图(Hydrological management information system, collation of hydrological data, hydrological Figure Drawing)

重新编写客户端内核，支持硬件加速渲染模式，纹理压缩等最新技术，图像帧动画，粒子系统。内存CPU占用低，执行效率高，游戏更加流畅。支持16位，32位真彩色。 压缩包过大放百度盘(Rewrite the client kernel to support hardware accelerated rendering mode, texture compression and other latest technologies, image frame animation, particle system. The memory CPU occupies low, the execution efficiency is high, and the game is more smooth. Support 16 bits, 32 bits true color. Compressed Packet Oversize Baidu Disk)

说明：  迭代收缩/阈值（IST）算法是近年来提出的一类凸无约束优化问题和其它线性逆问题的一种新方法。这类问题是将线性观测模型与非二次正则化器（例如，全变差或基于小波的正则化）相结合的结果。这些算法的收敛速度很大程度上取决于线性观测算子的条件，当该算子病态时收敛速度变慢。(Iterative shrinkage/thresholding (IST) algorithms have been recently proposed to handle a class of convex unconstrained optimization problems arising in image restoration and other linear inverse problems. This class of problems results from combining a linear observation model with a non-quadratic regularizer (e.g., total variation, or wavelet-based regularization). It happens that the convergence rate of these IST algorithms depends heavily on the condition of the linear observation operator, becoming very slow when this operator is ill-conditioned.)

所附代码提供了上述三种反卷积策略的实现。要开始，用户应该检查文件demo.m。反褶积子程序在以下文件中实现:deconvL2频率.m:在频域反褶积，假设高斯导数在前面。2.deconvL2.m:利用共轭梯度算法，假设在空间域上存在高斯导数先验的反褶积。3.deconvSps.m:利用迭代重加权最小二乘算法，在空间域上假设一个稀疏导数先验的反褶积。(The enclosed code provides the implementation of the above three deconvolution strategies. To start, users should check the file demo.m. The deconvolution subroutine is implemented in the following files: deconvL2 frequency. M: deconvolution in frequency domain, assuming that the Gauss derivative is ahead. 2. DeconvL2. M: uses the conjugate gradient algorithm to assume the existence of Gauss derivative prior deconvolution in the spatial domain. 3.deconvSps. M: Using iterative weighted least squares algorithm, a sparse derivative prior deconvolution is assumed in the spatial domain. Users should note that all of the above functions assume that the convolution filter has an odd number of pixels on both dimensions.)

用vc＋＋实现的基于面向对象的三维积木源代码。简单易懂-Using vc to achieve based on object-oriented three-dimensional building blocks source code. Easy-to-read

说明：  FreeRTOS实验6-1 FreeRTOS任务创建和删除实验(动态方法)(Task creation and deletion experiments (dynamic methods))

说明：  iso15765 - 1 document

说明：  很好的(GOOD)