资源列表
baizaosheng
- 按如下模型产生一组随机序列： x(n)=0.8x(n-1)+w(n) 其中w(n)为均值为1，方差为4 的正态分布白噪声序列。估计过程的自相关函数与功率谱。
10.1.1.136.6437
- A New Wavelet Based Method for Denoising of Biological Signals shrinkage method based on a New Thresholding filter for denoising of biological signals is proposed
WAVELETFILTERINGOFECGSIGNALS
- WAVELET FILTERING OF ECG SIGNALS USING PILOT ESTIMATION
Gotchev2003
- spline and wavelet based techniques for signal and image processing
11
- 离散傅里叶变换和快速傅里叶变换，课件，深入浅出-fft
FractionalCalculusandWavelettansforms
- 该文讲解了分数阶微积分和小波变换之间的关系，很不错的论文-The article explained the fractional calculus and the relationship between the wavelet transform, a very good paper
Variable-scale-based-on-wavelet-multi-resolution.r
- 基于小波分解的变尺度多分辨率纹理分割Variable scale based on wavelet multi-resolution texture segmentation-Variable scale based on wavelet multi-resolution texture segmentation
Super-orthogonal-wavelet-transform-based-iterative
- 基于正交小波变换的超指数迭代联合盲均衡算法Super-orthogonal wavelet transform based iterative joint blind equalization algorithm index-Super-orthogonal wavelet transform based iterative joint blind equalization algorithm index
kuaisujiance
- 提出一种结合小波变换与共现矩阵用于纺织品图像缺陷检测的方法。首先将灰度图像分解成子带 然 后将纹理图像分割成互不重叠的子窗口, 提取共现特征 最后用无缺陷样品训练的M ahalanob is分类器将每一子 窗口划分为缺陷的和无缺陷的。应用该算法进行实际工厂环境中的纺织品缺陷检测。实验结果表明, 集中处理 具有强判决能力的某一频带提高了检测性能, 也改善了计算效率。-Propose a wavelet transform and co-occurrence matrix for the
lunwen22
- 小波去噪的仿真研究 ：介绍了小波软门限和硬门限法上嗡的处理方法．分析了采用不同的小波进行软门限去噪的效果，比较了软门限去噪和硬门 限去噪的特点。仿真结果表叫，对高斯白噪声的上哚处理，选用c1b8小波比用symI和haar小波町以得到更好的去噪效果， 软门限法优于硬门限法-Simulation Study of Wavelet Denoising: The wavelet soft threshold and hard thresholding approach on the hum.
A_wavelet_tour_of_signal_processing
- 由著名小波大牛mallat最新写的关于小波变换信号处理的书，里面包括小波变换的最新进展。如稀疏矩阵，压缩传感等概念-Daniel mallat by well-known wavelet-date written on the wavelet transform signal processing books, which include the latest developments of wavelet transform. Such as sparse matrix, the concep
paper
- 音频数字水印用的是小波变换的方法，里面有详细的方法说明-Audio Watermarking Using Wavelets