huffman-code

问题 I was building a Huffman coding tree and I wanted to create an array where each position contains a separate tree, as the code follows: // Number of initial nodes int number; cin >> number; int* weights = new int[number]; for (int i = 0; i < number; i++) cin >> weights[i]; // Convert to huffman tree with one element intHuffTree* tree = new intHuffTree[number]; for (int i = 0; i < number; i++) { tree[i] = intHuffTree(weights[i]); } where the class is defined like: // Huffman tree with integers

问题 I was building a Huffman coding tree and I wanted to create an array where each position contains a separate tree, as the code follows: // Number of initial nodes int number; cin >> number; int* weights = new int[number]; for (int i = 0; i < number; i++) cin >> weights[i]; // Convert to huffman tree with one element intHuffTree* tree = new intHuffTree[number]; for (int i = 0; i < number; i++) { tree[i] = intHuffTree(weights[i]); } where the class is defined like: // Huffman tree with integers

问题 I am trying to create a Huffman tree and i am bit confused by reading several links on internet. Some add the greater(in terms of weight) child nodes in left or some on right. So my question: (1)Is it really a matter that where to add the nodes(in left or right) ? (2) May i add node with greater weight in right or lower weight in Left ? Thanks for the help. 回答1: As long as you're consistent, it makes no difference. Either you put all the lower weights on left children and all the higher

问题 I am trying to create a Huffman tree and i am bit confused by reading several links on internet. Some add the greater(in terms of weight) child nodes in left or some on right. So my question: (1)Is it really a matter that where to add the nodes(in left or right) ? (2) May i add node with greater weight in right or lower weight in Left ? Thanks for the help. 回答1: As long as you're consistent, it makes no difference. Either you put all the lower weights on left children and all the higher

问题 I need Matlab code that solves the example problems below. According to the probability values of the symbols I have given, the huffman code will find its equivalent, step by step. If you help me, i will be very happy. I've put examples of this below. All of them have obvious solutions. For example: Symbol Probability a1 enter probability value input a2 enter probability value input a3 enter probability value input a4 enter probability value input a5 enter probability value input a6 enter

问题 I have a byte stream that is a concatenation of sections, where each section is composed of a header plus a deflated byte stream. I need to split this byte stream sections but the header only contains information about the data in uncompressed form, no hint about the compressed data length so I can advance properly in the stream and parse the next section. So far the only way I found to advance past the deflated byte sequece is to parse it according to the this specification. From what I

问题 I have a byte stream that is a concatenation of sections, where each section is composed of a header plus a deflated byte stream. I need to split this byte stream sections but the header only contains information about the data in uncompressed form, no hint about the compressed data length so I can advance properly in the stream and parse the next section. So far the only way I found to advance past the deflated byte sequece is to parse it according to the this specification. From what I

问题 I'm trying to implement a deflate compressor and I have to decide whether to compress a block using the static huffman code or create a dynamic one. What is the rationale behind the length associated with the static code? (this is the table included in the rfc) Lit Value Bits --------- ---- 0 - 143 8 144 - 255 9 256 - 279 7 280 - 287 8 I thought static code was more biased towards plain ascii text, instead it looks like it prefers by a tiny bit the compression of the rle length What is a good

问题 I'm trying to implement a deflate compressor and I have to decide whether to compress a block using the static huffman code or create a dynamic one. What is the rationale behind the length associated with the static code? (this is the table included in the rfc) Lit Value Bits --------- ---- 0 - 143 8 144 - 255 9 256 - 279 7 280 - 287 8 I thought static code was more biased towards plain ascii text, instead it looks like it prefers by a tiny bit the compression of the rle length What is a good

问题 For my assignment, I am to do a encode and decode for huffman trees. I have a problem creating my tree, and I am stuck. Don't mind the print statements - they are just for me to test and see what the output is when my function runs. For the first for loop, I got all the values and index from the text file I used in my main block for testing. In the second for loop I inserted all the stuff into the priority queue. I am so stuck about where to go next - I'm trying to make nodes, but I am