-
waveletintroduction
matlab小波的学习工具，用于初学者使用，介绍了一般matlab书中为提到的默认工具(matlab wavelet learning tool for beginners, the book introduces the general matlab default tools for the mentioned)
- 2010-05-14 16:41:39下载
- 积分：1
-
correlation
correlation similarity measure
- 2010-06-01 01:58:22下载
- 积分：1
-
ipexndvi
It is related to image processing
- 2011-06-22 17:23:26下载
- 积分：1
-
MCQPSKrun
本程序仿真在给定系统延时下的QPSK系统误码率，其中没有使用成形滤波器，考虑了相位同步和符号同步，对工程人员很有参考价值(QPSK err rate simulation)
- 2013-05-04 21:36:23下载
- 积分：1
-
gprmax3g
三维地质雷达正演模拟,可以对二进制数据读取，利于学习(3D GPR simulation)
- 2013-11-28 16:35:02下载
- 积分：1
-
MyEnvelope
本实验程序用于计算信号的包络和包络信号的频谱（包络谱）。
算法采用了Hilbert变换计算包络( This experiment is used to calculate the envelope (envelope) of the envelope and envelope of the signal.
The algorithm uses a Hilbert transform to compute the envelope)
- 2021-04-16 15:18:53下载
- 积分：1
-
phase_coded_pulse
五位巴克码相位编码信号仿真以及时域、频率特性研究(Simulation of Five Barker Code Phase Coded Signals and Study of Time Domain and Frequency Characteristics)
- 2020-08-14 19:58:30下载
- 积分：1
-
109chemgxu
该程序实现心电信号的去噪，同时对原信号与去噪后的信号进行对比(De-noising of ECG signal)
- 2018-06-29 23:05:05下载
- 积分：1
-
fourth
用matlab生成下列500*500的RGB红绿蓝彩色图像，框内的颜色如图所示（a）假定将该图像转换到HSI空间，用25*25的平均模板模糊H分量图像，再转换回RGB空间，会看到什么结果?(Generated with matlab the following 500* 500 RGB red, green and blue color image, the color box as shown (a) assumes that the image is converted to HSI space, with the average template 25* 25 Fuzzy H component image, and then converted back RGB space, see what results?)
- 2010-06-20 01:35:12下载
- 积分：1
-
Artificial-Intelligence-pneumonia
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.)
- 2013-01-04 23:27:12下载
- 积分：1
