1.odt

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz，As=20dB。 ((A) design using the bilinear transformation method and the experimental system of a third-order Chebyshev low-pass type Ⅰ digital filter, the sampling frequency Fs = 8KHz, 1DB passband boundary frequency is fp = 2KHz. (B) Bilinear transformation method used to design and use of the experimental system of a third-order Chebyshev type Ⅱ high-pass digital filter, the sampling frequency Fs = 16KHz, stopband boundary frequency fst = 4KHz, As = 20dB.)

分别建立命令文件和函数文件 转换想x，y的值 求一元二次方程的根(The establishment of a command file and function file Conversion to x, y values Seeking the root of one dollar a quadratic equation)

两通道滤波器组的设计，包括正交镜像fb,仿酉fb,准确重建fb.(two channel filter design, including the orthogonal images fb, fake Unitary fb, accurate reconstruction fb.)

Underdetermined Anechoic Blind Source

微分方程组数值解方法，遗传算法无功优化，基于掌纹识别的在线身份验证 识别算法本科毕设。( Numerical solution of differential equations method, Genetic algorithm based reactive power optimization, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.)

通信天线建模与MATLAB仿真分析 基本天线仿真，chapter 2 内容(Communications antenna modeling and simulation analysis of the basic antenna MATLAB simulation, chapter 2 content)

我上传一个用Matlab画的光学双稳特性曲线程序，欢迎大家提出宝贵意见(I upload a painting using Matlab optical bistable characteristic curve procedures, welcome you to give valuable advice)

说明：  matlab系统仿真 计算机仿真和辅助设计概述（1） 第二章MATLAB语言基础（5） 第三章控制系统的数学描述与建模（4） 第四章控制系统的分析方法（4） 第五章SIMULINK仿真基础（6）(matlab simulation computer-aided design simulation and an overview of (1) chapter based on MATLAB language (5) Chapter III control system mathematical description and modeling (4) Chapter IV control system analysis method (4) Chapter V SIMULINK simulation basis (6))

多核变换，稀疏变换，核变换自适应学习，图形图像变换(Description ----------- Multi-Kernel-Path package is a Matlab program that computes the entire regularization path for multiple-kernel learning problems. More precisely, it solves any learning problem with a smooth loss function and where the kernel itself is optimized over combinations of several basis kernels. It returns the solutions for ALL values of the regularization parameter.)

双馈异步风机的simulink模块图，很难得啊(oubly-fed induction fan of simulink module chart, very rare ah )