ve一個簡單的數字電子密碼鎖，密碼為4 位。 功能 密碼輸入：每按下一個鍵，要求在數碼管上顯示，并依次左移； 密碼清除：清除密碼輸入，并將輸入置為”0000”；密碼修改：將當前輸入設為新的密碼；上鎖和開鎖.
上傳時間： 2013-12-14
上傳用戶：hustfanenze
the attached utility is a work I ve submitted to the university It shows what a jpeg compression is all about. the function implements the DCT transform, using a matrix operator. note that matlab has a function for the DCT and iDCT transforms that might be more efficient.
標簽： compression university the submitted
上傳時間： 2014-01-15
上傳用戶：Altman
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
This folder has some scritps that you may find usefull. All of it comes from questions that I ve received in my email. If you have a new request/question, feel free to send it to marceloperlin@gmail.com. But please, don t ask me to do your homework. Passing_your_param0 This folder contains instructions (and m files) for passing you own initial parameters to the fitting function. I also included a simple simulation script that will create random initial coefficients (under the proper bounds) and fit the model to the data.
標簽： that questions scritps usefull
上傳時間： 2013-12-28
上傳用戶：netwolf
I ve written some many years ago dynamic Huffman algorithm to compress and decompress data. It is mainly targeted to data with some symbols occuring more often than the rest (e.g. having some data file consisted of 3 different symbols and their total number of occurence in that file s1(1000), s2(200), s3(30) so the total length of file is 1000+200+30=1230 bytes, it will be encoded assigning one bit to s1 and 2 bits to s2, s3 so the encoded length will be 1*1000+2*(200+30)=1460 bits=182 bytes). In the best case the file consisted of just one symbol will be encoded with compression ratio as 1:8. Huffman coding is used in image compression, however in JPEG2000 arithmetic codec is imployed.
標簽： decompress algorithm compress Huffman
上傳時間： 2016-05-16
上傳用戶：aysyzxzm
利用ECLIPSE＋ve實現介面，同時實現文件管理。
標簽： ECLIPSE
上傳時間： 2013-12-23
上傳用戶：梧桐
Where We ve Been Where We re Going Back in February (that s 1998, but it almost seems longer), Dr. GUI set off to start a set of columns on the Active Template Library (ATL).
標簽： Where February almost longer
上傳時間： 2016-08-29
上傳用戶：JIUSHICHEN
蕃茄炸彈超人[ACT]I ve no Tomatoes 開放原始碼，45度視角，有點像炸彈超人， 你操作一個"蕃茄"，在迷宮里炸敵人，這是跨平臺游戲。游戲目的很簡單，就是把對手炸了，至於為什么主角是蕃茄... 游戲本身是開源的，而且跨Windows/Linux/Mac，基於SDL，說起來SDL跨平臺的能力是很不錯...雖然有些人不是很喜歡。游戲支援2人同時玩～
上傳時間： 2016-10-02
上傳用戶：我干你啊
The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
標簽： gradient function provided versions
上傳時間： 2016-11-07
上傳用戶：秦莞爾w
To review what a metaball is, and how to render them and to describe a new optimization I ve made for rendering metaballs. For complex scenes, it can render hundreds of times faster, though I m certain others have discovered this trick as well. It does very slightly change the characteristic shape of the blobs, but there is no loss in image quality whatsoever. (I actually developed all this about two years ago, but just now felt like writing it all down, and had the time!)
標簽： optimization and metaball describe
上傳時間： 2013-12-27
上傳用戶：彭玖華
