EEE-212-lab-sheet

低通抽样定理程序有课程设计的要用的自己看看吧(Low-pass sampling theorem of the curriculum design process should take a look at your own)

Used to perform vertical handoff using fuzzy controller

异步电机软启动模型，使用matlab的电气系统库进行建模仿真(Asynchronous motor soft start model, the electrical system libraries use matlab modeling and simulation)

matlab编程的一些入门资料，包括基本操作指南，具体语法及算法(matlab programming some introductory information, including basic operating guidelines, the specific syntax and algorithm)

生理信号和生物医学图像的MATLAB处理书籍，适合生物医学专业需要(Biosignal and Biomedical Image Processing MATLAB based Applications)

均匀线阵方向图仿真程序 包括静态方向图 阵列方向图 带切比雪夫权的阵列方向图的仿真(With a cut over the right plane array direction Schiff Figure simulation)

维纳滤波器（Wiener filter）是由数学家维纳（Rorbert Wiener）提出的一种以最小平方为最优准则的线性滤波器。在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。(Wiener filter (Wiener filter) is caused by a mathematician Wiener (Rorbert Wiener) proposed guidelines for the minimum square optimal linear filter. Under certain constraints, which outputs a given function (often called the desired output) reaches the minimum squared differential, the final mathematical operation may become a problem solving Equation Leeds Taub. Wiener filter is also known as the least squares filter or least squares filter, currently one of the basic filtering methods.)

采用专家PID设计控制器，实现三阶传递函数的阶跃响应(PID controller is designed by experts to achieve third-order transfer function of the step response)

一个按自己意愿设计子图和轴外注释的小程序，很具有个性化。(A small program to design figure and explanation of outer axes according to one s own willingness, with personal characteristics.)

研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础 上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统 模型预测精度高，泛化能力强(Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base The establishment of a new model of neural network software reliability. By MATL AB simulation tool was simulated, confirmed that the new model than the traditional Model predicts high precision, strong generalization ability)