qpsk_16psk_pam

This class allows one to iterate through all the strings that are canonically equivalent to a given string. For example, here are some sample results.

wirlessman ofdma model simulink by mathworks

使用MATLAB代码作图，观察Gibbs现象，可以改变参量，观察变化规律(Mapping using the MATLAB code to observe the Gibbs phenomenon, can change the parameters to observe the changes of)

参考作物蒸散量计算公式，FAO国际农粮组织推荐的那个方法(ET0 )

蚁群算法,关于蚁群算法的matlab仿真，蚁群算法基本算法(ant althoriam)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.

This file, is an example of induction machine simulink model under matlab

3D方式演示欧拉角 通过鼠标就可以更改欧拉角的方位，其中代码适用于欧拉角方向余弦矩阵的转换。(findEulerAngs generates Euler angle sets and animates rotations in response to user manipulation of a 3D rigid body (a box). Use the mouse to change the orientation of the box. A wireframe of the original box position will appear. The Euler Axis button animates the rotation about the Euler Axis between the original and new box positions. The Rotate button calculates a set of Euler angles for the rotation type currently selected ( Body or Space ) and the axis set selected in the dropdown menu to orient the axes to the new box position. Derotate reverses this process and brings the axes back to their previous position. Once the axes have been rotated, subsequent rotations are calculated from this new orientation. This means that Space rotations use the coordinate system associated with the previous cube orientation (i.e. the axes of the wireframe cube). Axes DCM is the direction cosine matrix of the current axes orientation in the unrotated inertial frame. Box DCM (in)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

MATLAB APPS AIR_PITCH_CONTROL (MATLAB APPS AIR_PITCH_CONTROL)