PDMA

输入某一点的应力值（6个），可以求出其主应力、主应力方向以及切应力值(Enter a point of stress (6), can find the principal stresses, principal stress direction and the shear stress)

用矩量法计算一块正方形带电导体板的电荷分布。(Moment method with a square plate charged conductor the charge distribution.)

说明：  sparse coprime array direction of arrival

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

QDPSK Communication Performance simulation

图像分割的方法有许多种，其中阈值分割的方法很常用，提供一种基于otsu算法的图像分割方法，很实用。(There are many kinds of method of image segmentation, threshold segmentation method is commonly used, provide a method of image segmentation based on otsu algorithm is very practical)

calculated temperature correction coefficient.

“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。(In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.)

一个做椭圆拟合的matlab程序，能够在输入5个点坐标以上的任何组坐标下给出拟合椭圆，适合于做数值分析(circle)

领域插值和双线性插值算法的matlab实现(Field interpolation and bilinear interpolation algorithm matlab realize)