vmd-verify3

说明：  文件中包含原始激光雷达数据，MATLAB读取.ubh文件、点云数据滤波、误差分析、模型验证、三维表面拟合的源代码，目前调试无误(The file contains raw lidar data. MATLAB reads the source code of.Ubh file, point cloud data filtering, error analysis, model validation and 3D surface fitting. At present, debugging is correct.)

ADPCM algorithm coded in matlab

一种建立基于蚁群算法的路径规划空间模型的算法，使用与链接法，不适用于栅格法。(An algorithm based on the establishment, use and links to law ant colony algorithm path planning space model, does not apply to the grid method.)

program for autocorelation

偏微分方程解算的常用算法，各自介绍在《说明》文档中(PDE solution programs in matlab)

HERMITE插值函数，试算，欢迎下载测试(HERMITE)

反射系数与地震子波褶积合成地震记录，p，d，s分别是预设地层纵波速度、密度、及横波速度模型。其中包含可以改变主频的ricker子波，avopp是提取反射系数的程序。wigb可以对其中的多道进行强化显示。(Reflection coefficient and the convolution synthetic seismogram, the seismic wavelet p, d, s are preset formation p-wave velocity, density, and shear wave velocity model. Contains can change the frequency of the ricker wavelet, avopp is the process of the extraction of reflection coefficients. Wigb can to strengthen the multi-channel display.)

本书的目的是让读者熟练掌握MATLAB的知识并用来求解工程问题。解决这类问题一般需要编写相对较短、使用次数较少的程序。因此，本书将着重介绍在MATLAB中如何有效地开发简洁易读的程序，同时使之具有易于调试和执行速度快的特点。(The purpose of this book is to allow readers to master knowledge of MATLAB and used to solve engineering problems. To solve such problems usually need to write a relatively short period, the use of fewer procedures. Therefore, this book will focus on how to effectively develop in MATLAB concise, easy-to-read program, so that it has easy debugging and execution speed.)

一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。(Algorithm on High Resolution DOA Estimation without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method.)

说明：  利用SVM,采用网格法和交叉法，训练与预测数据，并形成图像(Using SVM, using grid method and cross method to train and predict data, and form images)