搜索资源列表
OneDimentionWaveletDicomposeAndCombination
- 这是一个有关一维信号小波分解与重构的VC++源程序，对学习小波很有用的
extr_onesrc2
- 基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号-Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal
mallat
- 对一维语音信号进行分解和重构运算，最后比较原信号与生成信号的区别-On the one-dimensional speech signal decomposition and reconstruction operations, and finally compare the original signal and the difference between the signal generated
Mallat_2ceng
- mallat算法实现信号的分解与重构，这里实现了一维信号的2层分解，并且用db1和db2小波两种小波进行比较-the mallat signal decomposition and reconstruction algorithm here to achieve a one-dimensional signal layer decomposition, and compared with db1 and db2 wavelet two wavelet
yasuo
- 先对信号进行提升小波分解，然后构造传统小波分解结构[c,l]；接着使用函数ddencmp获取信后压缩阈值，最后采用函数wdencmp实现信后压缩。-First signal lifting wavelet decomposition, and then construct the traditional wavelet decomposition structure [c, l] then use the function to get the letter ddencmp compressi
signal-wavelet
- 一维信号的小波分解和重构，利用小波变换对一维声音信号进行分解和重构-One-dimensional signal wavelet decomposition and reconstruction, using wavelet transform one-dimensional sound signal decomposition and reconstruction
xiaobo
- 小波压缩 用小波函数haar对信号进行3/5层分解 获取信号压缩的阀值 对信号进行压缩-Wavelet compression
mp
- 基于GA和MP的信号稀疏分解matlab程序来自于信号与图像的稀疏分解及初步应用-Sparse signal sparse decomposition of MP GA and matlab program signal and image decomposition and its application based on
DOA
- 信号特征矢量重排法 算法简要说明：该算法是针对相干信号源提出的一种解相干方法，其实现步骤如下： 1.采取N阵元均匀直线标量阵列获取M个相干信号源，假设信号源全部相干（M<N）； 2.求阵列接收数据的最大似然协方差矩阵Rx，并进行特征值分解，确定特征矢量的个数，进而得到重排矩阵的维数L； 3.根据特征矢量重排的法则确定重排矩阵Rr； 4.采取MUSIC算法实现信号源数和DOA的估计（进行100次独立实验）。-Feature vector signal rearr