对20byte数据进行霍夫曼无损编码的c实现
时间: 2023-12-24 15:02:29 浏览: 30
下面是一个简单的C语言实现,包括霍夫曼编码树的构建和编码过程:
```c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#define MAX_TREE_HT 100
// 霍夫曼编码树节点结构体
struct MinHeapNode {
char data;
unsigned freq;
struct MinHeapNode *left, *right;
};
// 霍夫曼编码树结构体
struct MinHeap {
unsigned size;
unsigned capacity;
struct MinHeapNode **array;
};
// 创建一个新的霍夫曼编码树节点
struct MinHeapNode* newNode(char data, unsigned freq) {
struct MinHeapNode* node = (struct MinHeapNode*) malloc(sizeof(struct MinHeapNode));
node->left = node->right = NULL;
node->data = data;
node->freq = freq;
return node;
}
// 创建一个新的霍夫曼编码树
struct MinHeap* createMinHeap(unsigned capacity) {
struct MinHeap* minHeap = (struct MinHeap*) malloc(sizeof(struct MinHeap));
minHeap->size = 0;
minHeap->capacity = capacity;
minHeap->array = (struct MinHeapNode**) malloc(minHeap->capacity * sizeof(struct MinHeapNode*));
return minHeap;
}
// 交换两个霍夫曼编码树节点
void swapMinHeapNode(struct MinHeapNode** a, struct MinHeapNode** b) {
struct MinHeapNode* t = *a;
*a = *b;
*b = t;
}
// 维护霍夫曼编码树的最小堆
void minHeapify(struct MinHeap* minHeap, int idx) {
int smallest = idx;
int left = 2 * idx + 1;
int right = 2 * idx + 2;
if (left < minHeap->size && minHeap->array[left]->freq < minHeap->array[smallest]->freq)
smallest = left;
if (right < minHeap->size && minHeap->array[right]->freq < minHeap->array[smallest]->freq)
smallest = right;
if (smallest != idx) {
swapMinHeapNode(&minHeap->array[smallest], &minHeap->array[idx]);
minHeapify(minHeap, smallest);
}
}
// 判断最小堆是否只有一个节点
int isSizeOne(struct MinHeap* minHeap) {
return minHeap->size == 1;
}
// 从最小堆中提取最小值节点
struct MinHeapNode* extractMin(struct MinHeap* minHeap) {
struct MinHeapNode* temp = minHeap->array[0];
minHeap->array[0] = minHeap->array[minHeap->size - 1];
--minHeap->size;
minHeapify(minHeap, 0);
return temp;
}
// 将新的节点插入到最小堆中
void insertMinHeap(struct MinHeap* minHeap, struct MinHeapNode* minHeapNode) {
++minHeap->size;
int i = minHeap->size - 1;
while (i && minHeapNode->freq < minHeap->array[(i - 1) / 2]->freq) {
minHeap->array[i] = minHeap->array[(i - 1) / 2];
i = (i - 1) / 2;
}
minHeap->array[i] = minHeapNode;
}
// 判断一个节点是否为叶子节点
int isLeaf(struct MinHeapNode* root) {
return !(root->left) && !(root->right);
}
// 创建一个新的霍夫曼编码树,并构建编码表
struct MinHeapNode* buildHuffmanTree(char* data, int* freq, int size) {
struct MinHeapNode *left, *right, *top;
struct MinHeap* minHeap = createMinHeap(size);
for (int i = 0; i < size; ++i)
insertMinHeap(minHeap, newNode(data[i], freq[i]));
while (!isSizeOne(minHeap)) {
left = extractMin(minHeap);
right = extractMin(minHeap);
top = newNode('$', left->freq + right->freq);
top->left = left;
top->right = right;
insertMinHeap(minHeap, top);
}
return extractMin(minHeap);
}
// 将每个字符的编码存储到哈希表中
void storeCodes(struct MinHeapNode* root, char* codes[], int top) {
if (root->left) {
codes[top] = (char*) malloc(sizeof(char) * 2);
codes[top][0] = '0';
storeCodes(root->left, codes, top + 1);
}
if (root->right) {
codes[top] = (char*) malloc(sizeof(char) * 2);
codes[top][0] = '1';
storeCodes(root->right, codes, top + 1);
}
if (isLeaf(root)) {
codes[top] = (char*) malloc(sizeof(char) * 2);
codes[top][0] = '\0';
codes[top][1] = '\0';
}
}
// 压缩数据
void compressData(char* input, char* output) {
int freq[256] = { 0 };
int size = strlen(input);
for (int i = 0; i < size; ++i)
++freq[input[i]];
char data[size];
int freq2[size];
int index = 0;
for (int i = 0; i < 256; ++i)
if (freq[i] != 0) {
data[index] = (char) i;
freq2[index] = freq[i];
++index;
}
struct MinHeapNode* root = buildHuffmanTree(data, freq2, index);
char* codes[MAX_TREE_HT];
storeCodes(root, codes, 0);
int len = 0;
for (int i = 0; i < size; ++i) {
for (int j = 0; j < index; ++j) {
if (input[i] == data[j]) {
strcat(output, codes[j]);
len += strlen(codes[j]);
}
}
}
}
int main() {
char input[] = "Hello, world!";
char output[100] = "";
compressData(input, output);
printf("Original data: %s\n", input);
printf("Compressed data: %s\n", output);
return 0;
}
```
需要注意的是,上述代码只是一个简单的实现,不考虑各种边界情况和错误处理。在实际使用中,需要根据具体需求进行改进和完善。