捷联惯导系统仿真算法的研究及其实现

构造一个空的双向栈，判断双向栈是否存在，出栈，入栈，判栈空，将栈置空，判栈满，取栈顶(Construct an empty two-way stack to determine whether there is a two-way stack, out of stack, stack, sub-stack empty, set the stack is empty, sub-stack is full, take the stack)

船舶航向PID控制的Simulink仿真，采用NOMOTO模型(ship course control base on PID )

关于VC与matlab混合编程的代码，包含众多例子，可以直接使用。(Matlab on the VC and mixed programming code, including many examples can be used directly.)

fft的c++语言实现，改自matlab的相关程序(fft c++)

光纤通信的书，里面有基于matlab的通信仿真(Optical fiber communication book, which has matlab-based communication simulation)

实现MATLAB下的音频AGC，，关键是要有高效的算法。效果不错。 (Audio AGC on MATLAB, the key is to have efficient algorithms. Good results.)

基本粒子群优化算法Matlab源程序 主要用于对PSO的基本理解与思考 (Particle swarm optimization algorithm Matlab source)

hough变换，matlab编程。Hough变换是一种使用表决原理的参数估计技术。其原理是利用图像空间和Hough参数空间的点－线对偶性，把图像空间中的检测问题转换到参数空间。通过在参数空间里进行简单的累加统计，然后在Hough参数空间寻找累加器峰值的方法检测直线。(hough transform, matlab programming. Hough transform is a vote on the principle of using a parameter estimation techniques. The principle is the point of the image space using the Hough parameter space and line- duality converting the detection problem in the image space to the parameter space. By a simple statistical accumulated in the parameter space, and then in the Hough parameter space to find a method of detecting the peak accumulator line.)

说明：  本文件是实现Harris检点检测的程序源代码，可以作为毕业论文的程序源代码(Harris behave in this document is to achieve detection of program source code, source code as a thesis)

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.)