CS_OMP

飞机仿真软件包dubsi10-2，可以与FDC tool（本站已有）一起使用的matlab/simulink仿真软件，主要对飞机的滚转姿态控制进行仿真研究，内有丰富的案例。(The Dutchroll Blockset for Simulink, DUBSI, is a stand-alone version of the blocklibrary BLOCKLIB_MISC in version 2.0 (or later) of the Flight Dynamics and Control (FDC) Toolbox, which is currently under development. It contains a number of general-purpose Simulink blocks, which can be used for more applications than flight dynamics research only. Both the FDC toolbox and the DUBSI blockset are copyrighted by M.O. Rauw see COPYING.TXT for more details. )

VSB信号仿真，做这个的很少.对VSB信号进行仿真，有调制和解调并加噪声过信道。(signal vsb by matlab,few people did this ever.)

This function file calculates the outlier by different methods including MAD, Sliding window MAD, IQR, etc.

汉明码（7，3）的matlab仿真，学习差错控制编码编码的入门经典(hamming (7,3)matlab simulation ,is a typical introduction of error control coding)

阵列信号处理程序，不同阵列波束图分析，包括极坐标及不同域的波束图(Array signal processing, different array beam pattern analysis, including the polar coordinates and the beam pattern in different domains.)

维纳滤波理论在图像处理中的应用。 包括维纳滤波，维纳复原，维纳边沿提取，维纳增强。我的一个小课题的终结版。 附有PPT(Wiener filtering theory in image processing applications. Including the Wiener filter, Wiener restoration, Wiener edge extraction, Wiener enhanced. I have a small issue of the final version. With PPT)

The classical beetle data is analysed using logistic regression and MCMC.

说明：  自适应PSD神经元控制,用于伺服电机的调速度,比单神经元有跟好的鲁帮性(adaptive neural control for the servo-motor speed, a single neuron with good Lu hand)

Extended Kalman Filter Tracking Object in 3-D(Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordinates. Since transformation is non-linear this requires use of extended Kalman filter. Because transformation is non-linear between X,Y and Range,Bearing and linear between Z and high(Z is height), this problems serves as a good comparason of how well extended Kalman filter can perform. By comparing its linear estimation error in Z to non-linear estimations in X and Y, we can judge how non-familiarities effect estimation. )

Data Encryption by Matrix Multiplication We will only use numbers 0 to 26 for the encryptive mathematics operation. Numbers from 1 to 26 are for letters from A to Z and 0 is for all non-letter characters. To minimize usage of numbers, all letters are converted to upper case. The original message is converted to number array according to the ASCII table and minus 64. We partition whole array into blocks of 8 numbers. The last block may be added several zeros. Then multiply each block by the an 8x8 matrix A which is invertible in Z27 to get cipher data. The decryption is the same process except to use its inverse matrix B. For good visual reading, we convert all non-letter characters to under score for the decryption.