SMI

制件单摆动画，由matlab制作出来的,单个动画，摆动(single pendulum，use matlab)

说明：  某大学的人工神经网络的课件，比较详细。其中介绍的一些参考书不错。(a University of Artificial Neural Network Software, a more detailed. Describing some good reference books.)

CCNet v2.4 This document defines a serial network interface. The interface is Master-Slave arrangement where all peripherals are Slave to a Master Controller.

1,某厂向用户提供发动机，合同规定，第一、二、三季度末分别交货40台、60台、80台．每季度的生产费用为 f=ax+bx^2（元），其中x是该季生产的台数．若交货后有剩余，可用于下季度交货，但需支付存储费，每台每季度c元．已知工厂每季度最大生产能力为100台，第一季度开始时无存货，设a=50、b=0.2、c=4，问工厂应如何安排生产计划，才能既满足合同又使总费用最低． 2,函数的输入为A,B两个矩阵，实现如下功能：从A矩阵中找出与B完全相同的子矩阵，并将该子矩阵左上角的位置保存到2*n的向量index中，最后函数返回A中所有与B完全相同的子矩阵的左上角坐标。(1, a factory to provide users with the engine, the provisions of the contract, first, second and third quarter, respectively Delivery 40 units, 60 units, 80 units. The production cost of each quarter the f = ax+bx ^ 2 ($), where x is the number of Taiwan-quarter production. If after delivery, the surplus can be used for delivery next quarter, but to pay the storage fees, each quarterly c. Factory known each quarter of the maximum production capacity of 100 units of stock in the first quarter, setting a = 50, b = 0.2, c = 4, asked how the factory should arrange production plan, in order to both meet the contract and the lowest total cost of . 2, the function' s input is the two matrices A, B, to achieve the following functions: to identify from the matrix A and B are identical sub-matrix, and a position in the upper-left corner of the sub-matrix is ​ ​ saved to the vector index of 2* n, The last function returns the coordinates of the upper left corner of the sub-matrices A)

多核处理多特征的融合（matlab实现——提供测试数据）(Multicore processing multi-feature fusion (matlab achieve- to provide test data))

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

this is the source code for the radon transform. it is the c file. u have to save this file as c file and then compile it using mex compiler in matlab.

生成白噪声信号：生成白噪声信号,生成白噪声信号(Generating a white noise signal)

压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法( x = CoSaMP( A, b, k ) uses the Compressive Sampling Matched Pursuit (CoSaMP) algorithm (see Needell and Tropp s 2008 paper http://arxiv.org/abs/0803.2392 ) to estimate the solution to the equation b = A*x (or b = A*x+ noise ) where there is prior information that x is sparse.z)

low pass filter code