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SURF_DETECTOR SURF (Speeded Up Robust Feature) is a robust image detector and descriptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT descriptor.

Implementation of DQ theory based PLL

说明：  对基础信道BPSK的实现与仿真,里面含有对各个结构构成的分别实现(On the basis of the channel realization and simulation of BPSK, which contains the composition of each structure were achieved)

对于SIMULINK中的代数环问题给出了解释，并提供了解决方法(algebraic loop)

伺服系统的非线性PID控制，PID-即比例、积分和微分控制，在自动控制系统里有着非常广泛的应用。(Nonlinear PID Control for a servo system)

关于OFDM的调制仿真，其中使用是QPSK调制，包含FFT、循环前缀、加窗等基本过程。(OFDM modulation on the simulation, in which a QPSK modulation, contains the basic process FFT, cyclic prefix, windowing and so on.)

Lyapunov 数值计算，行相空间重构并利用改进方法计算L yapunov 指数(Lyapunov numerical calculation, the phase-space reconstruction and the use of improved methods of calculating L yapunov Index)

DBScan算法，在matlab中实现(DBScan algorithm, to achieve in matlab)

线性四面体元的有限元分析可直接利用的函数，包括求刚度矩阵，求体积，求整体刚度矩阵等，有重要的利用价值(Linear tetrahedral element finite element analysis can be directly used for functions, including seeking stiffness matrix, the volume demand, the global stiffness matrix of such demand, there is significant value in use)

对于通行工程里的两种调制方式PAM和QAM进行了性能仿真，并对他们的性能进行了比较。有信噪比，误码率等重要参数比较。还有具体的文档说明。(For the passage of two works in the PAM and QAM modulation for the performance simulation, and their performance compared. There is signal to noise ratio, bit error rate and other important parameters. There are specific documentation.)