charconvert

c++ 通用弹道仿真计算程序(经典版)lalalalla(C dandaofangzhenchengxudfdfdfdfdf)

适合卫星通信本科学生借鉴。主要为卫星转发器仿真设计。可以实现上下变频，非线性放大器实现和卫星转发器实现。(Satellite transponder Simulation Design。Achieve Frequency conversion)

VC++与Matlab混合编程时，所需的lib库文件压缩包(VC++ and Matlab mix program，need liblibrary rar)

如何生成可独立运行的Matlab程序.介绍了Matlab C数学库、Matlab C++数学库、Matcom、Matlab COM Builder、Matlab Engine及编译Matlab独立可执行程序等Matlab混合程序设计的内容。 (How to build can be run independently of Matlab programs)

一个简单的记账软件，重点在于使用c++与MATLAB混编，使用MATLAB做图，对记账数据进行分析(A simple accounting software, with emphasis on the use of c++ and MATLAB mixed, use MATLAB to do maps, analysis of accounting data)

用matlab实现扩展Informax算法与固定点算法Faast ICA，可对混合后信号进行独立分量分离 已通过测试。 (Using matlab to expand Informax algorithm with fixed-point algorithm Faast ICA, independent component separation of the mixed signal has been tested.)

说明：  商人过河的问题，三个商人各带一个仆人、、、(Merchants across the river mathematical modeling problem is a classic problem)

编制一个统计特定单词在文本串中出现的次数和位置的程序(The preparation of a statistical specific words in the text string appear in the number and location of the procedure)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

利用matlab实现鲁棒控制器，有式例，便于鲁棒控制器的学习开发(A robust controller is implemented with MATLAB, and it has an example to facilitate the learning and development of robust controllers)