matlab

说明：  文主要目的是针对讯号频谱分析仪(Signal spectrum analyzer)做功能测试，以确定讯号频谱分析仪之各种运算功能正确，其中测试共 分为正弦与余弦波检查、反假象滤波器检查(Antialiasing Filter Check)、频率响应函数与相位角检查(FRF & Phase Check)、自身能量密度函 数检查(Power Spectrum Check)、动态范围检查(Dynamic Range Check)等五个项目的快速傅立叶转换检查(Fast Fourier Transform Check)，并 对五个项目之测试原理、测试步骤及测试结果加以说明，提供频谱分析仪功能测试之正确方法，亦可作为自制频谱信号处理单元及频谱分 析程式之验证。(The main purpose of the text is for the signal spectrum analyzer (Signal spectrum analyzer) to do functional testing, to determine the signal spectrum analyzer features a variety of computing the right, which is divided into sine and cosine test wave inspection, anti-false filter inspection (Antialiasing Filter Check), the frequency response function and phase angle of inspection (FRF &amp Phase Check), its energy density function check (Power Spectrum Check), dynamic range checking (Dynamic Range Check) and other five projects FFT check (Fast Fourier Transform Check ), and principles of the five test items, test steps and test results to show that the spectrum analyzer to provide the proper testing method may be used as self-spectrum signal processing unit and the spectral analysis of the verification.)

描述了matlab关于图论的工具箱使用和应用，主要是英语显示的(MATGRAPH BY EXAMPLE)

模糊自适应整定PID控制,利用模糊控制规则在线对PID参数进行修改(fuzzy adaptive tuning PID control, fuzzy control rules online right PID parameter changes)

小脑模型 仿真 二维 函数 随机 matlab 代码 函数(Two-dimensional simulation model of cerebellar function random function matlab code)

c函数H运用.rar------是初学者的宝库 包含所有函数的运用(c function H use. rar is for beginners includes all of the treasure-house of the use of function)

基于Matlab的X-CT图像重建程序开发(Matlab-based X-CT image reconstruction program development)

L algorithme K nearest neighbor

说明：  《雷达系统分析与设计matlab版第三版》所有代码(Radar Systems Analysis and Design with Matlab(3 Edition))

一种基于小波变换的边缘检测Matlab源程序代码，对边缘检测方面的学习者很有帮助。(Based on wavelet transform edge detection Matlab source code for edge detection in learners helpful.)

Model Predictive Control模型预测控制是目前流行的控制算法，以往的MPC算法都是要依靠S函数实现，本例使用MPC工具箱，详细说明了控制变量和状态变量的设定(Model predictive control (MPC) is a popular control algorithm at present. The previous MPC algorithms are implemented by S function. In this case, MPC toolbox is used to specify the setting of control variables and state variables)