TickErrObsData

mimo系统的仿真，提供发射天分别使用1发1收，和1发多收的各种情况下的误码率比较。IEEE论文的远程序。(MIMO system simulation, respectively, provide the launch-day use of one fat one admission, and one fat collected under a variety of circumstances BER comparison. IEEE papers far procedures.)

说明：  suoha.rar 哈梭matlab源程序(Soe suoha.rar Kazakhstan matlab source)

很详细的matlab实现FDTD二维圆柱波仿真的源代码(Very detailed matlab FDTD simulation of two-dimensional cylindrical wave source code)

MATLAB信号处理宝典,包括各种函数，滤波器的源程序等(Collection MATLAB signal processing, including the various functions, such as the filter source)

Geddes,肤色分割，数字滤波器，Otsu-最大类间方差，非线性映射所产生的混沌序列(Geddes, color segmentation, digital filter, Otsu- Otsu, nonlinear mappings from the chaotic sequence)

Specific color noise generator (MatLab function)

说明：  用鲁棒控制方法来控制一个简单的二阶机械系统：质量块-阻尼器-弹簧系统。该系统是本科生实验教学中常见的控制实验装置。作为本书中的第一个案例，将针对该装置介绍三种控制器的详细设计方法，分析闭环系统的鲁棒稳定性和鲁棒性能。为了简化设计过程，此处仅考虑模型的结构扰动（参数扰动）。针对此例，介绍了matlab鲁棒控制工具箱（Robust Control Toolbox）一些鲁棒控制器设计指令。希望此章的学习不仅能够教授鲁棒控制系统设计方面的知识，也能够教会大家如何使用鲁棒控制工具箱。(Robust control method is used to control a simple second order mechanical system: mass damper spring system. The system is a common control experimental device in undergraduate experimental teaching. As the first case in this book, the detailed design methods of three controllers for the device are introduced, and the robust stability and robust performance of the closed-loop system are analyzed. In order to simplify the design process, only the structural disturbance (parameter disturbance) of the model is considered here. For this example, some robust controller design instructions of MATLAB robust control toolbox are introduced. I hope that this chapter can not only teach the knowledge of robust control system design, but also teach you how to use robust control toolbox.)

验证在时域AWGN添加的SNR的数值等于在频域获得的SNR数值(Validation added in the time domain SNR value equal to access to the SNR in the frequency domain values)

粒子群算法及其改进，在原有粒子群算法基础上进行改进，增加免疫算法，使其尽快跳出早熟，收敛更快，结果更优！(Particle swarm optimization (PSO) and its improvement are improved on the basis of the existing particle swarm algorithm, and the immune algorithm is added to make it jump out of premature, faster convergence and better results)

fingerprint recognition using matlab