Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％ ％ compute the forward/backward Campbell/specgtrogram ％ ％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％ ％ Fs Sampling frequnecy ％ ％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz])
标签： experience elliptical decompose important
上传时间： 2015-06-23
上传用户：372825274
. 缓存处理技术，定时更新系统数据，提升系统性能 B. 系统模板管理功能，方便制作个性化的系统模板，可后台管理 C. 首页商品和店铺的自助推荐功能，用户可使用虚拟币采用竞价方式自助推荐自己的商品和店铺 D. 店铺的皮肤转换，重新设计店铺结构 E. 商品，店铺，求购信息的搜索，采用积木式查询，减少等待时间 F. 支付宝按钮支付功能（用于系统用户与用户间的付款交易） G. 重新制作广告系统，静态JS读取速度更快 H. 最高价竞拍模式中加入一口价购买的功能 I. 后台管理员的分权限管理（管理，添加，查看） j. 后台商品首页推荐，店铺首页推荐功能 K. 商品可实现四级分类处理 L. 增加店铺分类功能 M. 外接用户数据库（AC和SQL两种），系统邮件发送，图片上传，缓存更新，MD5加密等后台管理功能 N. 实现了商品登陆收费的功能
上传时间： 2015-06-24
上传用户：我干你啊
加密算法 Test Driver for Crypto++, a C++ Class Library of Cryptographic Primitives: - To generate an RSA key cryptest g - To encrypt and decrypt a string using RSA cryptest r - To calculate MD5, SHS, and RIPEMD-160 message digests: cryptest m file - To encrypt and decrypt a string using DES-EDE in CBC mode: cryptest t - To encrypt or decrypt a file cryptest e|d input output - To share a file into shadows: cryptest s <pieces> <pieces-needed> file (make sure file has no extension, if you re running this under DOS) - To reconstruct a file from shadows: cryptest j output file1 file2 [....] - To gzip a file: cryptest z <compression-level> input output - To gunzip a file: cryptest u input output - To run validation tests: cryptest v - To run benchmarks: cryptest b [time for each benchmark in seconds]
标签： Cryptographic Primitives generate Library
上传时间： 2015-07-16
上传用户：wqxstar
光学设计软件zemax源码： This DLL models an nular aspheric surface as described in: "Annular surfaces in annular field systems" By Jose M. Sasian Opt. eng. 36 (12) P 3401-3401 December 1997 This surface is essentially an odd aspheric surface with an offset in the aspheric terms. The sag is given by: Z = (c*r*r) / (1+(1-((1+k)*c*c*r*r))^ 1/2 ) + a*(r-q)^2 + b*(r-q)^3 + c*(r-q)^4 + ... Note the terms a, b, c, ... have units of length to the -1, -2, -3, ... power.
标签： described aspheric surfaces Annular
上传时间： 2014-01-08
上传用户：yyyyyyyyyy
C# BigInteger class. BigInteger.cs is a csharp program. It is the BIgInteger class. It has methods: abs() , FermatLittleTest(int confidence) ,gcd(BigInteger bi) , genCoPrime(int bits, Random rand) , genPseudoPrime(int bits, int confidence, Random rand) , genRandomBits(int bits, Random rand) , isProbablePrime(int confidence) , isProbablePrime() , Jacobi(BigInteger a, BigInteger b) , LucasSequence(BigInteger P, BigInteger Q, BigInteger k, BigInteger n) ,max(BigInteger bi) , min(BigInteger bi) , modInverse(BigInteger modulus) , RabinMillerTest(int confidence) ,
标签： BigInteger class BIgInteger program
上传时间： 2013-12-23
上传用户：ynzfm
代入法的启发示搜索 我的代码实现是：按照自然语言各字母出现频率的大小从高到低（已经有人作国统计分析了）先生成一张字母出现频率统计表（A）--------(e),(t,a,o,i,n,s,h,r),(d,l),(c,u,m,w,f,g,y,p,b),(v,k,j,x,q,z) ，再对密文字母计算频率，并按频率从高到低生成一张输入密文字母的统计表（B），通过两张表的对应关系，不断用A中的字母去替换B中的字母，搜索不成功时就回退，在这里回朔是一个关键。
上传时间： 2015-10-24
上传用户：wanqunsheng
“网络基本输入／输出系统”（Network Basic Input/Output System, NetBIOS）是一种标准的应用程序编程接口（ A P I），1 9 8 3年由S y t e k公司专为I B M开发成功)
标签： Network NetBIOS Output System
上传时间： 2015-12-09
上传用户：wanghui2438
This a calculator simulation program written in Labview. It is based on event structure introduced by Labviw 8.0 or later editions.
标签： calculator simulation introduced structure
上传时间： 2015-12-27
上传用户：123456wh
CHAPT08\TESTTERM.CPP 16-Bit test program for the terminal emulation classes CHAPT08\TESTTERM.EXE 16-Bit executable of the test program. CHAPT08\TESTTERM.MAK A makefile for Borland or Microsoft C++.
标签： TESTTERM CHAPT emulation terminal
上传时间： 2016-02-03
上传用户：小宝爱考拉
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
