资源列表
Gaborfeature
- 基于gabor小波变换的论文，对做人脸识别很有用-Gabor wavelet transform-based papers, do face recognition is useful
FFT
- 利用C++程序实现快速傅里叶变换，进而实现对信号的提取与分离，进一步处理的功能-C++ program fast Fourier transform, turn signal extraction and separation, further processing functionality
Ricker2
- 雷克子波的频谱和相位图，便于对地震信号处理方法的频域判别-Ricker wave spectrum and phase diagrams, to facilitate the frequency domain of the seismic signal processing method discriminant
windowfunc
- 利用窗函数设计低通滤波器，使其通带为1MHZ，阻带为小于40dB。-Using window function to design the low-pass filter, its passband is 1MHZ and stopband is less than 40dB.
feichouyangxiaobofenjie
- 1.实现非抽样提升小波包三层分解 2.有效解决了小波包分解频带交错问题 3.有效输出频谱图-1 non-sampling improved wavelet packet three decomposition. Effective solution to the wavelet packet decomposition band interlacing problems. Effective output spectrogram
xiaobofenjie
- 小波对模拟信号的分解，有效地进行时频域的图形输出-Wavelet decomposition of the analog signal and effective manner in the frequency domain graphical output
Fourier-transform
- 一个C++傅立叶变换的例子，源码以及配有图片雷娜和傅里叶变化后的结果。-Fourier transform of a C++ example, source code, as well as with the results after the picture Reina and Fourier transform.
Wavelet-feature-extraction
- 输入一幅图像的像素数据，可以提取该图像的小波特征数据，该数据存储后可以供以后的图像处理操作。-The pixel data of the input image can be extracted the wavelet characteristic data of the image, after the data storage can be used for subsequent image processing operations.
A251
- ods can be put into a level-set framework using a Lipschitz function for automatic topology changes. Both models are discussed in detail and validated with numerical results. Medical Imaging: Segmentation Michael Wasilewski 1 Introduction
InTech-Automatic_diagnosis_of_breast_tissue
- Segmentation is therefore a very important task in medical imaging. However, manual segmentation is not only a tedious and time consuming process, it is also inaccurate. Segmentation by experts is variable up to 20 [WDZ+95]. It is therefore de
Integrative-diagnostic-and-evolution-prediction-m
- and split. Although this topological constraint may be reasonable in the segmentation of the liver, it would certainly be undesirable when segmenting blood vessels in an MR image. An algorithm to overcome these diculties was rst introduced by
AMMA2MA
- 勇士时间序列分析中，将ARMA模型参数转化为等价的MA模型参数-The Warriors time series analysis, ARMA model parameter is converted to an equivalent MA model parameters