lianxi

：滤波 fs=400 采样频率,必须大于两倍基带信号最高频率 ts=1/fs 采样时间间隔 T=5 时间窗大小 t=0:ts:T (hf1=zeros(1,N) hf1(f<=B1&f>=-B1)=1 y1=hf1.*fftshift(y) figure subplot(211) plot(f,abs(fftshift(y))/N,f,hf1, r-- ) axis([-fs/2,fs/2,0,1.2]) title( 原信号频谱 ) xlabel( f /Hz ) subplot(212) plot(f,abs(y1)/N) title( 低通滤波，截止频率90Hz ) xlabel( f /Hz ))

接收来自下位机的数据,然后进行数据处理和通讯(From under the machine to receive data bit, and then data processing and communications)

电流谐波分析,对电力方面的电流做谐波分析(Current harmonic analysis, the current electricity do harmonic analysis)

一种波达方向估计的CAPON方法。波束形成就是从传感器阵列重构源信号。(The Capon method for direction of arrival estimation.)

Finds the roots of a function using the arc-length method

介绍matlab的ppt，介绍了matlab中所使用的各种画图函数，初学者很容易上手。(Matlab introduction of ppt, introduced matlab used in a variety of drawing functions, beginners can easily get started.)

说明：  通带截止频率 =1000Hz，阻带截止频率 =1200Hz，采样频率fs=5000Hz，通带衰减系数 =0.3dB，阻带衰减系数 =40dB。(The digital filter are the digital signal processing important content, the digital filter may divide into IIR and the FIR two main kinds. As for the IIR digital filter design, we need the help of analog prototype filter, and then transform analog filter into digital filter. )

：在介绍过程监控主要内容及方法的基础上，归纳分析了统计过程监控的发展，详细阐述了传统 的PCA、PCR、PLS、FDA、HMM 和几种改进的PCA方法．指出，将人的经验和专家知识融人到PCA统计过程 监控，提高PCA的故障检测、隔离能力，完善故障诊断与评价能力，将是一个有价值的研究方向(: In the introduction the main content and methods of process monitoring based on the inductive analysis of the statistical process monitoring of development, elaborated on the traditional PCA, PCR, PLS, FDA, HMM, and several improved PCA method. Pointed out that the human experience and financial expertise to the PCA statistical process monitoring of people and improve the PCA fault detection, isolation, and improve fault diagnosis and evaluation capacity, will be a valuable research)

机器人各种机构的控制仿真例程，代码都能运行，适合初学者(Robot control simulation routines of various institutions, the code can run, suitable for beginners)

毕设内容，高光谱图像基本处理，使用matlab实现智能预测控制算法，包括最小二乘法、SVM、神经网络、1_k近邻法。( Complete set content, basic hyperspectral image processing, Use matlab intelligent predictive control algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)