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GM(1-1)populaction-forecast
深圳人口20年灰度预测,采用GM（1，1），原深圳杯数模程序(The Shenzhen population 20 years grayscale forecast)
- 2012-11-29 00:40:44下载
- 积分：1
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MATLAB课堂考勤（GUI）
说明： MATLAB课堂考勤（GUI）
该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸，分割，计算人数，然后提前制作好这些人的人脸库，进行逐一识别是谁，是不是库内人脸，如是，具体是谁，如果不是，那提示库外人脸。具有友好的人机交互界面，还可以二次开发成摄像的，但是摄像头误差可能会有点。识别流程为：读取图像，人脸定位，人数统计，人脸分割，人脸识别，库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)
- 2021-04-27 00:18:45下载
- 积分：1
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java
图片，很经常用的一副matlab里面的图片(Picture, it is often used inside a pair of matlab Photos)
- 2009-03-24 20:12:30下载
- 积分：1
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autosynb
synchrhonization effects
- 2011-02-03 05:34:36下载
- 积分：1
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cmeans
实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the largest category of the similarity between the smallest.)
- 2006-06-24 16:58:21下载
- 积分：1
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11
说明： 单点坐标转换本地区的matlab拟合单点坐标转换本地区的matlab拟合(The single point coordinate transformation in the matlab fitting)
- 2012-08-10 16:15:44下载
- 积分：1
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kMeansCluster
k均值聚类算法Matlab代码实现,可以直接运行(k-means clustering algorithm Matlab code to achieve, can be run directly)
- 2013-03-09 18:50:24下载
- 积分：1
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pid
基于Z-N的PID参数整定，代码简单实用，适合初学者使用(ZN-based PID parameter tuning, the code is simple and practical, suitable for beginners)
- 2020-11-27 20:39:30下载
- 积分：1
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DCT-and-Image-Compression
DCT and Image Compression
In the JPEG image compression algorithm, the input image is divided into
8-by-8 or 16-by-16 blocks, and the two-dimensional DCT is computed for each
block. The DCT coefficients are then quantized, coded, and transmitted. The
JPEG receiver (or JPEG file reader) decodes the quantized DCT coefficients,
computes the inverse two-dimensional DCT of each block, and then puts the
blocks back together into a single image. For typical images, many of the
DCT coefficients have values close to zero these coefficients can be discarded
without seriously affecting the quality of the reconstructed image.
The example code below computes the two-dimensional DCT of 8-by-8 blocks
in the input image, discards (sets to zero) all but 10 of the 64 DCT coefficients
in each block, and then reconstructs the image using the two-dimensional
inverse DCT of each block. The transform matrix computation method is used.
- 2014-01-28 16:55:07下载
- 积分：1
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matlab
matlap程序设计 刘卫国版 课后实验6(matlap Liu Weiguo version of Experiment 6)
- 2009-12-14 10:56:06下载
- 积分：1
