Huffman codes In telecommunication, how do we represent a set of messages, each with an access frequency, by a sequence of 0’s and 1’s? To minimize the transmission and decoding costs, we may use short strings to represent more frequently used messages. This problem can by solved by using an extended Binary tree which is used in the 2- way merging problem.
標簽： telecommunication represent messages Huffman
上傳時間： 2014-01-04
上傳用戶：x4587
All of Java s Input/Output (I/O) facilities are based on streams, which provide simple ways to read and write data of different types. Java provides many different kinds of streams, each with its own application. The universe of streams is divided into four large categories: input streams and output streams, for reading and writing Binary data and readers and writers, for reading and writing textual (character) data. You re almost certainly familiar with the basic kinds of streams--but did you know that there s a CipherInputStream for reading encrypted data? And a ZipOutputStream for automatically compressing data? Do you know how to use buffered streams effectively to make your I/O operations more efficient? Java I/O, 2nd Edition has been updated for Java 5.0 APIs and tells you all you ever need to know about streams--and probably more.
標簽： facilities streams provide Output
上傳時間： 2013-12-17
上傳用戶：6546544
HDFDUMP and BRFDUMP are utility programs developed for use with MISR data files. HDFDUMP will extract data from a MISR file in the HDF-EOS grid format (MISR Level 1B2 and Level 2 files) and writes unformatted Binary files. BRFDUMP calculates radiances and bidirectional reflectance factors (BRF) from MISR Level 1B2 files and creates unformatted Binary files.
標簽： HDFDUMP developed programs BRFDUMP
上傳時間： 2017-04-02
上傳用戶：yy541071797
Very good Java Applet used to animate Inserting, Deleting and Searching (Preorder & Postorder algorithm) nodes in Binary Trees. This is a part of mine students project. You can use and redistribute the source code absolutelly free!
標簽： Inserting Searching Postorder Deleting
上傳時間： 2014-01-25
上傳用戶：蟲蟲蟲蟲蟲蟲
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a Binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
標簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
A few drivers for the Motorola C380 s celluar phone hardware with a simple test application. It s configured to build a Binary that is to be uploaded at 0x03fd0000 and run at 0x03fd0010
標簽： application Motorola hardware drivers
上傳時間： 2017-05-01
上傳用戶：zhangzhenyu
This is a Stack Class with Funtions Push,Pop, check Stack is Full or Empty Application: Change a number from Decimal to Binary
標簽： Stack Application Funtions Change
上傳時間： 2014-12-06
上傳用戶：變形金剛
Huffman codes 1.In telecommunication, how do we represent a set of messages, each with an access frequency, by a sequence of 0 s and 1 s? 2.To minimize the transmission and decoding costs, we may use short strings to represent more frequently used messages. 3.This problem can be solved by using an extended Binary tree which is used in the 2-way merging problem. the sourse code is to encode and decode the Huffman.
標簽： telecommunication represent messages Huffman
上傳時間： 2013-12-22
上傳用戶：ztj182002
我們的注意焦點要轉到搜尋樹（search tree）了，要深度討論兩種標準的樹結構（tree structure），就是本章所要說明的二元搜尋樹（Binary search tree）以及下一章所要討論的 AVL 平衡樹（AVL tree）。這兩種樹其資料都依序排列的，它們之間的差別只在於 AVL 是一種平衡樹，而二元搜尋樹卻不是。
上傳時間： 2013-12-27
上傳用戶：561596
) Compression using huffman code -with a number of bits k per code word -provide huffman table Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a Binary code tree.
標簽： code Compression huffman provide
上傳時間： 2017-05-30
上傳用戶：yuchunhai1990
