project2_01

本源码为matlab下所有用于模式识别的聚类算法的程序(The matlab source code for all of the clustering algorithm for pattern recognition procedures)

一个关于BPSK误码率仿真的程序，其中包括信号产生，加入高斯白噪声，和误码率计算！(One on BPSK BER simulation procedures, including the signal generated by adding Gaussian white noise, and bit error rate!)

this file contains basic amplify and forward technique with physical layer network concept

Inverted in grid side

说明连续时间傅里叶变换与DTFT、DFT之间的关系，及由FFT求连续时间傅里叶变换的方法。文档说明加MATLAB代码(This project is about the relationship of CTFT, DTFT and DFT, how to calculating CTFT by using FFT. This project contains document and matlab code.)

该程序用于计算n根平行导线间的串扰,程序结构及说明见程序内。源可以是单频的或脉冲的（这里给出的是频域的）。频率、波形、线长、电源及负载阻抗均可在用MATLAB编写的语句中方便地修改。但必须输入导线系统每单位长度的电感、电容矩阵。(The procedure used to calculate n root of crosstalk between parallel wires, program structure and description of process. Source can be single frequency or pulse (here is given by the frequency domain). Frequency, waveform, the line is long, power and load impedance can be found in the use of MATLAB statements prepared easily modified. However, the system must enter a wire per unit length inductance, capacitance matrix.)

MIMO信道容量仿真，出自于经典MIMO书籍源码(his chapter contains sample programs for determining capacity. The reader is advised to go through the coding. The file "capacity_water.m" is for measuring the waterfilling capacity. It should be made to work with a file similar to "capacity_plot_main.m". The latter file deals with all the other capacity plots given in the book in Chapter 2. )

利用模糊PI控制器对空调室温对象进行控制，给出具体的室温模型及其对应的控制代码。(fuzzy PI controller targets for air-conditioning control room temperature, give a specific room temperature model and the corresponding control code.)

It can be easily seen the above analysis that the shootthrough duty ratio is always constant. This can be reconfirmed a different perspective below

内容包括离散时间信号简介、随机变量和随机过程的基本知识、维纳滤波器的基本知识、误差性能曲面的性质、牛顿法、最陡下降法、LMS算法及各种改进算法、最小二乘算法等的介绍。(Include discrete-time signal profiles, random variables and a basic knowledge of stochastic processes, Wiener filter basic knowledge of the nature of the error performance surface, Newton method, steepest descent method, LMS algorithm and a variety of improved algorithms, least-squares algorithm such as introduction.)