shili98

所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。(Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti.)

Capacitive digital sensor for relative humidity and temperature(0 to 100 relative humidity range  Supply voltage: 1.7 to 3.6 V  Low power consumption: 2 μA @ 1 Hz ODR  Selectable ODR 1 Hz to 12.5 Hz  High rH sensitivity: 0.004 rH/LSB  Humidity accuracy: ± 4.5 rH, 20 to+80 rH  Temperature accuracy: ± 0.5 °C,15 to+40 °C  Embedded 16-bit ADC  16-bit humidity and temperature output data  SPI and I2C interfaces)

对大型商场的人流疏散过程进行模拟，分析研究人流疏散中的人流运行特性(Evacuation of large shopping malls flow simulation, analysis of the flow characteristics of the evacuation of the crowd running )

永磁同步电机开环仿真，学生制作，仅供参考(Permanent magnet synchronous motor open-loop simulation, students can develop, for reference only.)

说明：  编程序调用MATLAB滤波器设计函数ellipord和ellip分别设计这三个椭圆滤波器，并绘图显示其损耗函数曲线。  (Programmed call MATLAB filter design function ellipord and ellip three elliptic filters were designed, and the drawing shows the loss function curve. )

自适应陷波滤波器对地震信号中的50Hz工频干扰的消除。(Adaptive notch filter to seismic signal in the 50Hz interference elimination)

哥伦比亚大学编写的MATLAB-HTK工具箱(Columbia University toolbox written in MATLAB-HTK)

用经典RK方法和四阶ADAMS预测校正算法求解微分方程(Classical RK method and fourth-order predictor-corrector algorithm for solving differential equations ADAMS)

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)

Matlab GUI工具,支持一种简单直观的方法来比较聚类方法。(Outline COMPACT is a GUI Matlab tool that enables an easy and intuitive way to compare some clustering methods. COMPACT is a five-step wizard that envelops some basic Matlab clustering methods and introduces the Quantum clustering algorithm that was originally proposed by Prof. David Horn and Assaf Gottlieb (see The Method of Quantum Clustering, for more details). COMPACT provides a flexible and customizable interface for clustering data with high dimensionality. COMPACT allows both textual and graphical display for the clustering results. )