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3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segme
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三种非平稳信号时频分析的方法 窗口傅里叶变换、wigner分布和小波变换-Three non-stationary time-frequency analysis window Fourier transform, wigner distribution and wavelet transform
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本文把小波变换应用于心电信号的识别。探讨了伸缩尺度和伪频率(译自pseudo—frequency)-~．间的关系；利用二进双正
交样条小波对室扑信号按Mallat算法进行小波分解；提出了心室扑动和心室颤动信号的小波变换识别方法-Wavelet transform in used to identify the ECG si a1．The relation between scale and pseudo—frequency is discussed．The ventrlcular
flu
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掌握双线性变换法及脉冲相应不变法设计IIR数字滤波器以及窗函数法设计FIR数字滤波器的原理，具体方法及计算机编程。 2.观察双线性变换法，脉冲响应不变法及窗函数法设计的滤波器的频域特性，了解各种方法的特点。 3.用MATLAB画出三种方法设计数字滤波器的幅频特性曲线，记录带宽和衰减量，检查是否满足要求-Master bilinear transform and impulse response invariance IIR digital filter design and window fun
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基于小波变换和 HHT 的分布式并网系统谐波检测方法。
该方法利用小波变换多分辨率分析思想对信号进行划分，并对划分后的信号进行经验模态分解，得到一系列的经验模态函数IMF，并从 IMF分量中提取出基波分量和高次谐波；再对IMF分量进行Hilbert 变换得到信号的频率、幅值信息。-Wavelet transform and HHT based distributed systems and network harmonic detection method.
The method use
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The continuous wavelet transform can be used to produce spectrograms which show the frequency
content of sounds ~or other signals! as a function of time in a manner analogous to sheet music.
While this technique is commonly used in the engineerin
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Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being
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The sampling process is described in this paper and can be analyzed in the frequency domain as explained. Applying Fourier transform one can show that the Fourier transform of a product of two
functions is equal to the convolution of the Fourier tr
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基于分数阶傅里叶变换的无线通信系统关键技术研究,最优分数阶傅里叶域的乘性滤波算法较频域方法有更好的均衡效果.
-Research on the key technology of wireless communication system based on fractional Fourier transform better than the frequency domain method.
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here are several existing approaches for computing localized frequency information. These approaches are advantageous because unlike the Fourier transform, these filters can more easily represent discontinuities in the signal. For example, the Fourie
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