搜索资源列表
work4_1
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现-Mallat Haar wavelet decomposition and reconstruction algorithm in C Language
MALLAT_PROGRAM
- 基于Mallat的二维Haar小波分解与重构算法的C语言实现最大分解级数:5级*/ -Mallat Haar wavelet decomposition and reconstruction algorithm in C language to achieve maximum decomposition Series : 5 * /
HARRwavelet
- HARR小波分解与重构，包括高低通滤波上下采样延拓及文件输出-HARR wavelet decomposition and reconstruction, including high and low pass filtering up and down sampling extension and file output
wave1
- 小波单尺度和多尺度的分解和重构，显示最低频和所有高频系数及重构信号-Wavelet single-scale and multi-scale decomposition and reconstruction, show the low-frequency and high-frequency coefficients and the reconstructed signal
haar
- Haar小波的分解与重构,供大学学习小波使用-the decomposition and reconsitution of Haar wavelet
1DSignal_DecomRecon
- 对一维信号进行小波分解和重构的C程序，绝对误差为10^-11. 1）主程序：Mallat.c 2）一维信号的输入文件：wdata.dat 2）分解重构过程中产生的数据的文件：Data.txt-One-dimensional signal wavelet decomposition and reconstruction of C procedure, the absolute error of 10 ^-11. 1) The main program: Mallat.c 2)
wavelet_signal
- 多层小波分解变换，适用一维二维小波变换，经分解后实现重构-Multi-layer wavelet transform, it is suitable for one-dimensional two-dimensional wavelet transform, reconstruct after decomposition
DWT1D
- C语言实现一维离散小波变换，通过mallat算法实现对一维信号的快速重构和分解。-C language implementation of a one-dimensional discrete wavelet transform, fast algorithm by mallat one-dimensional signal reconstruction and decomposition.
lililili
- 小波变换，对于一个给定信号进行小波变换后分解得到的低频和高频信号进行叠加，得到重构的原始波形！-Transform, for low and high frequency signal to a given signal wavelet transform decomposed superimposed to obtain the reconstructed original waveform!
wavelet
- 基于DB4 的小波变换，实现了小波的分解与重构，可根据实际需要修改阈值的选取方法-Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method
wavepacket-cpp-0.1.1b
- c++编写的小波包算法，可以实现小波包分解与重构，速度较快-A wavelet packet implementation written in C++, does wavepacket decomposition and reconstruction quite efficiently
xiaobo_echo1.m
- 主要通过对信号实现小波分解，将部分频段系数置零，然后进行小波重构，实现对信号的滤波功能-filter through wavlet decomposition and recover
Wavelet-packet-
- 小波包分解重构，说明很详细，望大家共同进步-Wavelet packet decomposition reconstruction, indicating very detailed, we hope common progress