steep

基于matlab的车牌图像分割，先用中值滤波去除噪声再进行分割(Based on matlab license plate image segmentation using median filter to remove noise and then split)

adaboost demo this is very much useful to evalute a demo of adaboost

说明：  Matlab细化算法，重要参考资料，细化效果较好。(Matlab thinning algorithm, an important reference materials, refinement is better.)

实现卡尔曼滤波压缩感知和射影法压缩感知的算法对吧，包含了两者的性能仿真结果(Kalman filtering compressed sensing and projective France compressed sensing algorithm to it, including the performance of both the simulation results)

从电脑中选择一个图片，本程序可对图片完成类型转换，几何运算，代数运算（平均法降噪和减数运算），傅里叶变换，图像增强（包括灰度值变换，直方图均衡化，邻域平均法和中值滤波波法），图像复原，图像分割等功能。(Choose a picture from the computer, this program can complete type conversion, geometric operation, algebraic operation (average noise reduction and reduction), Fourier transform, image enhancement (including gray value transformation, histogram equalization, neighborhood averaging and median filtering wave method), image restoration, image segmentation and other functions.)

基于SVD_TSL算法的ARMA模型的参数估计，欢迎下载(SVD_TSL algorithm based on parameter estimation of ARMA models, please download)

Poissons equation solution fdfd

针对基本快速扩展随机树(RRT)算法存在搜索过于平均、效率低下、用时较长的缺陷，提出了一种偏向目标型的改进型RRT算法。这种算法在生成随机点时以一定概率选择最终目标点作为局部目标点，使树的扩展有一个趋向于最终目标点的趋势，从而加快了算法的收敛速度，优化了规划路径(For basic fast Random Tree (RRT) search algorithm exists too mean, inefficient, long time with defects, we proposed a goal-biased improved RRT algorithm. This algorithm when generating random points with a certain probability of selecting a final destination point as a local target, enabling the expansion of the tree has a tendency to trend the final destination point, thereby speeding up the convergence of the algorithm, optimized route planning)

图像边缘检测LoG，DoG方法实现，还有图像的低通滤波(LoG and DoG for image edge detection, including lowpass filter)

Survival times are data that measure follow-up time from a defined starting point to the occurrence of a given event, for example the time from the beginning to the end of a remission period or the time from the diagnosis of a disease to death. Standard statistical techniques cannot usually be applied because the underlying distribution is rarely Normal and the data are often ‘censored’. A survival time is described as censored when there is a follow-up time but the event has not yet occurred or is not known to have occurred. For example, if remission time is being studied and the patient is still in remission at the end of the study, then that patient’s remission time would be censored. If a patient for some reason drops out of a study before the end of the study period, then that patient’s follow-up time would also be considered to be