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MATLAB
里面是一个matlab的程序是设计FIR滤波器的 里面有 实际的代码 (There is a matlab procedure is to design FIR filters there are the actual code)
- 2008-04-15 09:46:58下载
- 积分：1
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hist
本程序计算HSV空间的非均匀量化直方图，空间维数为36柄(HSV space, the program calculates the histogram of non-uniform quantization, space dimension of 36 handle)
- 2011-09-08 08:59:46下载
- 积分：1
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plot_hht
hht希尔伯特黄变化的matlab实现不错试过了(hht Hilbert Huang changing tried matlab realize good)
- 2013-07-22 21:11:51下载
- 积分：1
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lvboqisheji
数字信号处理中，布特沃斯滤波器设计。很好的东西。(Digital signal processing, Butterworth filter design. A good thing.)
- 2011-10-25 18:33:11下载
- 积分：1
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TFaceRecognith
这是一个matlab编写的计算人脸识别率的小程序，选选用的图像数据库位ORL数据库。，已通过测试。
(This is a matlab write a small program to calculate the face recognition rate, the election chosen image databases bit ORL database. , Has been tested.)
- 2012-09-30 18:12:46下载
- 积分：1
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soft-sensors
The file is about soft sensors in industrial applications.
- 2012-12-28 17:17:33下载
- 积分：1
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matlab
matlab画圆形，然后四周涂成其他颜色--换言之，可以画出口面场的分布情形，非常形象逼真(matlab draw round, and then painted the other colors around- in other words, can draw the distribution of farm export side, a very vivid)
- 2011-05-10 15:20:11下载
- 积分：1
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iriscode
虹膜识别算法，包括定位，归一化，编码。很有用的算法。(iris recognition algorithms, including positioning, in the final one, coding. Useful algorithms.)
- 2006-10-13 15:37:59下载
- 积分：1
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mseFea
multi-view spectral learning
- 2010-11-12 20:48:28下载
- 积分：1
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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
