Atten_Madell_850B_Schematics

对小鼠脑功能核磁成像进行时间聚类分析，再用最小二乘法对大脑皮层扩散一直的波前进行拟合。(TCA for fMRI images)

ARROW (5/20/2009) Draw a line with an arrowhead. ARROW(Start,Stop) draws a line with an arrow from Start to Stop (points should be vectors of length 2 or 3, or matrices with 2 or 3 columns), and returns the graphics handle of the arrow(s). By itself, ARROW will use the mouse to allow selection.

实现单纯形法求解最优化问题的步骤，两步法实现，可自由输入参数(Simplex method to achieve optimization step, two-step implementation of free input parameters)

大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. (Experiments show that the proposed method on the same kind of sensor or between the different sensor image registration is valid. A new corner detection based image registration method, the core idea is to use a fast gray-based new algorithm for corner detection, scanning through the curve along the arc for corner information, and then based on these corner information to establish image correspondence between the corners, and thus be the beginning of registration parameters, and finally through the iterative process to improve the accuracy of registration. Theoretical analysis and experimental results show that the algorithm is rotation between the image does not limit , registration accuracy and less computation.)

包络对齐和相位补偿算法，用于逆合成孔径雷达成像(range alignment and phase compensation tools for ISAR imaging processing)

说明：  这是个利用粒子群算法(PSO)优化PID控制器参数的matlab程序，其中选取的性能指标为ITAE。(this is the use of particle swarm algorithm (PSO) PID controller optimized parameters of Matlab procedures, these performance indicators selected for ITAE.)

this brogram to sum to number and show the result to the user

matlab中的永磁同步电机实验算法验证工程(The permanent magnet synchronous motor matlab algorithm validation experiment works)

通信系统建模与仿真第12章基于MATLAB程序(System Modeling and Simulation of Chapter 12 program based on MATLAB)

matlab 与C混编，通过交替最小化方法求解乘性噪声模型，利用了shifting技术。(Written by H. Woo and S. Yun, the corresponding paper is "Alternating minimization algorithm for speckle reduction with a shifting technique")