Multi-agent-formation

是Digital signal processing--using Matlab中的一些函数，那本书网上可以找到，对学习数字信号处理可以说是相当有用的。(Is the Digital signal processing- using Matlab some function, that book can be found online on the study of digital signal processing can be said to be quite useful.)

数字控制系统是一种以数字计算机为控制器去控制具有连续工作状态的被控对象的闭环控制系统。因此，数字控制系统包括工作于离散状态下的数字计算机和工作于连续状态下的被控对象两大部分。我的课题的数字部分（PID）仿真由相应的离散传函实现，运用数字PID对被控对象实行准确控制。通过调节比例（P）、积分（I）、微分（D），使对象的输出达到预期的效果。(Digital control system is a kind of digital computer for the controller to control a continuous state of the object and closed loop control system. Therefore, the digital control system, including work on the discrete state of the digital computer and work in a continuous state of the plant is two parts. My topic of digital section (PID) simulation by the realization of the corresponding discrete transfer function using the digital PID control of the plant is implemented accurately. By adjusting the ratio of (P), integral (I), differential (D), so that the output of the object to achieve the desired results.)

This a matlab program for synthetics of slab waveguide for TM modes.

this runs a nonlinear dynamic analysis of a 4 story braced frame under earthquake loading

learning matlab this file contains information about matlab. programming etc..

采用Matlab实现16QAM的调制与解调，要求画出星座图。(Matlab realize 16QAM modulation and demodulation, and asked to draw a constellation diagram.)

信号处理基于MATLAB的信号处理实验,相关卷积,是处理信号,提取有用信号打压干扰信号的有用代码(Signal processing-based MATLAB signal processing experiments related convolution is the processing of signals, extraction of useful signal to suppress interference signals useful code)

采用16QAM调制方式对一串二进制信息进行基带调制，并分析其功率谱，在AWGN信道上进行传输，并解调，最后对其误比特（BER）性能加以分析。(Using 16QAM modulation methods on a string of binary information in the baseband modulation, and analyze the power spectrum, in the AWGN channel for transmission, and demodulation, the last of its bit error (BER) performance analysis.)

阈值模型系统仿真，每个智能体向不同方向的移动的代码(Threshold model system simulation, each agent in different directions of movement of the code)

Learn Kalman Filter( Kalman Filter)