small_signal_9009301

Matlab相关教程，里面包含了很多资料，对学习Matlab的朋友很有帮助(Matlab-related tutorials, which contains a lot of information very helpful for learning Matlab' s friends)

用互相关法实现时延差估计，时延差是使用TDOA算法实现定位的关键步骤！！！(use cross correlation function to estimate the time delay，time difference is a very important parameter when using the TDOA algorithm to positioning！)

采用极点配置的方法控制一级倒立摆系统，通过改变系统的参数，即增益系数K，最后使系统达到平衡。(Pole placement method using an inverted pendulum control system, by changing the system parameters, ie gain coefficient K, the last to make the system balanced.)

this is m file distribiution

一个关于通信系统仿真的实用程序，可以提供详细的步骤分析(A communication system simulation on a utility that provides detailed analysis of the steps)

基于Matlab产生1024QAM程序，然后导入到任意波形发生器AWG中，最后由示波器进行采样离线分析的程序。可以结合硬件学习这整个过程。(Matlab based programs produce 1024QAM program, and then imported into the arbitrary waveform generator AWG, the last off-line analysis by the sampling oscilloscope. You can learn this whole process with hardware.)

Data distill from text file

testocx.m － 用于测试ActiveX控件ActVoice的MATLAB录音程序

The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. (The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.)

TIPP策略效果模拟测算。通过蒙特卡罗方法模拟风险中性下的风险资产的价格路径，采用时间不变性投资组合保险策略(Time Invariant Portfolio Protection,TIPP)计算(Time Invariant Portfolio Protection,TIPP)