mm1

source codes--bluetooth,fsk,wcdma ,rake receiver

空间等离子体磁零点附近的实验粒子模拟,主要方向是空间物理中地球磁尾磁零点附近的粒子动力学研究！(particle dynamics around magnetic null in space plasma magnetic reconnection)

说明：  最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)

说明：  matlab程序，小波谱分析mallet算法经典程序，包括1.正弦波定义，2.小波滤波器谱分析，3.MALLET分解算法，4.MALLET重构算法(matlab program, the small spectral analysis algorithm for the classic mallet procedures, including 1. Sine definition, 2. wavelet filter spectrum analysis, 3.MALLET decomposition algorithm, 4.MALLET reconstruction algorithm)

二进制dpsk matlab实现仿真程序(dpsk modulation)

程序实例，以简洁高效的代码来实现许多程序的功能，是初学者快速入门的经典教材。(procedures matlab examples, concise and efficient code to achieve a number of procedures and functions, are beginners QuickStart classic materials.)

常用的matlab数学建模工具包,您可以使用命令帮助mathmodl视图内容或直接从命令mathmodl学习教程(Commonly used matlab mathematical modeling toolkit, you can use the command help mathmodl view content or directly from the command mathmodl learning tutorial)

对于惯性器件的标定进行自动处理,实现一次试验过程中完成对标度因素,安装角多个参数的标定(For calibration of inertial devices for automatic processing, once the testing process is completed on the scale factor, installation angle calibration of multiple parameters)

实现极大值查找，可输出数值和下标，并带有阈值功能。(search for maximum value)

蛙跳算法,包含Flow_Shop_Scheduling_Problem、 Function_Optimization、 Knapsack_Problem、 Traveling_Salesman_Problem(flog leap algorithm, including Flow_Shop_Scheduling_Problem, Function_Optimization, Knapsack_Problem, Traveling_Salesman_Problem)