void Huffman_Coding(HTree* root, Huff_code& curcode) { if(root->Isleaf()) { Huff_Dic[root->ch] = curcode; return; } Huff_code lcode = curcode; Huff_code rcode = curcode; lcode.push_back(false); rcode.push_back(true); Huffman_Coding(root->left,lcode); Huffman_Coding(root-...
void Huffman_Coding(HTree* root, Huff_code& curcode) { if(root->Isleaf()) { Huff_Dic[root->ch] = curcode; return; } Huff_code lcode = curcode; Huff_code rcode = curcode; lcode.push_back(false); rcode.push_back(true); Huffman_Coding(root->left,lcode); Huffman_Coding(root-...
Hufmann coding 是最古老,以及最优雅的数据压缩方法之一。它是以最小冗余编码为基础的,即如果我们知道数据中的不同符号在数据中的出现频率,我们就可以对它用一种占用空间最少的编码方式进行编码,这种方法是,对于最频繁出现的符号制定最短长度的编码,而对于较少出现的符号给较长长度的编码。哈夫曼编码可以对各种类型...
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huffman.cpp: #include <stdlib.h> #include <stdio.h> #include <string.h> #include "huffman.h" #include "pQueue.h" void traverseTree(htNode *treeNode, hlTable **table, int k, char code[256]) { //If we reach the end we introduce the code in the table ...
//test.cpp #include <iostream> #include <string> #include <fstream> #include "Huffman_H.h" usingnamespacestd; /* int main(int argc,char *argv[]) { if(argc != 3) { cout << "Usage:\n\t huffmancoding inputfile outputfile" << endl; ...
typedef vector<bool> Huff_code;//8 bit code of one char map<char,Huff_code> Huff_Dic; //huffman coding dictionary class HTree { public : HTree* left; HTree* right; char ch; int weight; HTree(){left = right = NULL; weight=0;} ...
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That would require a check in the code, plus proper error handling. Of course, I'm not in the depth of your (or Tom's) code for that matter. In the ISO code, this check is done in coding/huffmantemplate.cpp, line 853. However, this code is much younger, and of course, there ...