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BCS_upload
This is a demo code to illustrate application of
blind compressive sensing framework to
recommender system design (to predict users
choice for items).
- 2014-09-28 08:34:57下载
- 积分：1
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concretetem
concrete temperature at early ages
- 2014-11-23 00:52:59下载
- 积分：1
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DVB-T2-MATLAB-BCH
DVB-T2中13种码率的BCH编码matlab仿真程序(BCH code in DVB-T2)
- 2012-01-05 16:14:54下载
- 积分：1
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Viterbi
Viterbi Decoder Matlab file
- 2014-02-16 03:14:14下载
- 积分：1
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Spread_Frequency
TD中扩频的链路级仿真
通过MATLAB实现(TD Spreading the Link Simulation through MATLAB)
- 2007-04-18 14:19:23下载
- 积分：1
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modis_Spectral_response_function_fit
处理一定的遥感数据，可以自动读取，也可以将其生成。(Processing of remote sensing data can be automatically read, and can also be generated.)
- 2012-05-19 10:46:36下载
- 积分：1
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802.11a-baseband_2
IEEE 802.11a-1999 or 802.11a was an amendment to the IEEE 802.11 wireless local network specifications that defined requirements for an orthogonal frequency division multiplexing (OFDM) communication system. It was originally designed to support wireless communication in the unlicensed national information infrastructure (U-NII) bands (in the 5–6 GHz frequency range) as regulated in the United States by the Code of Federal Regulations, Title 47, Section 15.407.
- 2014-02-01 23:29:12下载
- 积分：1
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RMSE
求解各类误差，精确，如RMSE，样本数据是自己给出的可替换(finding all kinds of error)
- 2015-11-14 09:52:47下载
- 积分：1
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k-means
说明： k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)
- 2020-11-08 10:47:08下载
- 积分：1
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K-Ltransform
Using K-L transform to compress data is straightforward, since we can use a d dimensional vector to represent a D dimensional one without lose of much information. (Using KL transform to compress data is straightforward, since we can use ad dimensional vector to represent a D dimensional one without lose of much information.)
- 2007-11-27 15:12:27下载
- 积分：1
