pcode

数字PID算法的Mtalab仿真例程，包含M文件程序和Simulink仿真(Digital PID algorithm of Mtalab simulation routines, including M file and Simulink simulation program)

关于无线网络matlab仿真经典教材的代码，第3章，适合于有一定matlab基础的同志们(On the wireless network matlab code simulation of the classic textbook, the second chapter, the basis for a certain comrades matlab)

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)

Addition for existing code

直接序列扩频，利用MATLAB程序实现对原信号的扩频与解扩，有利于信号的抗干扰传输(Direct sequence spread spectrum, use the MATLAB program for spreading and despreading the original signal, the signal interference in favor of transmission)

说明：  利用小波方法对语音信号进行去噪，取得了很好的效果。(using wavelet method of voice signal denoising, and achieved very good results.)

利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。 根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)

利用Newton迭代法求解f(x)=(x-1)(x-2)(x-3)=x3-6x2+11x-6的根(solve the root of function: f(x)=(x-1)(x-2)(x-3)=x3-6x2+11x-6 by using Newton method)

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed - 2003 - (By Laxxuss).pdf(数值分析Advanced Mathematics And Mechanics Applications Using Matlab, 3Rd Ed- 2003- (By Laxxuss).pdf)