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This routine performs a 1-D Periodic Orthogonal Wavelet decomposition. It also performs the row decomposition component of a 2-D wavelet transform. An input signal x[n] is low pass and high pass filtered and the resulting signals decimated by factor
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ACONV and ICONV are a convolution tool for two-scale transform.Filtering by periodic convolution with the time-reverse.-ACONV and ICONV are a convolution tool for two-scale transform.Filtering by periodic convolution with the time-reverse.
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CONVOLVE2可以用于任何CONV2使用，采取同样的参数并返回一个小的公差范围内同样结果。加速计算是通过使用面膜中的奇异值分解，表示为外产品总结一下。这些都可以有效地计算与行和列向量的卷积。 CONV2是用来从事这项运动。
可分面具是一个特殊情况，并受CONVOLVE2处理多达FILTER2一样。许多不属于其他口罩可分低等级（如Gabor函数口罩），并更有效地处理CONVOLVE2。
该功能也将计算出降秩逼近一个给定的面具如果需要的话，将使用此是否会加速计算。一个额外
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circular convolution is one of the property of discrete fourier transforms. This circular convolution is simply a liner convolution of the periodic extensions of the finite sequences being convolved. Here matlab M file is written for this circular co
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卷积积分的MATLAB实现 相关函数与卷积的关系及MATLAB实现
通过实验熟悉自相关和互相关性质在周期信号识别、延迟信号检测、CDMA中的应用。-Convolution integral correlation function of MATLAB and MATLAB convolution relationship through experiments familiar autocorrelation and cross correlation properties of the p
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1、连续时间信号在MATLAB中的表示
2、连续时间信号在MATLAB中的应用
3、连续时间信号的卷积计算
4、连续时间LTI系统的时域分析
5、周期信号的傅里叶级数及频谱分析
6、傅里叶变换及其性质
7、连续时间LTI系统的频率特性分析及频域分析
8、信号抽样及抽样定理
9、拉普拉第五章 连续时间LTI系统的时域分析
斯变换
-A continuous-time signal representation in MATLAB 2, continuous
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The circular convolution, also known as cyclic convolution, of two aperiodic functions (i.e. Schwartz functions) occurs when one of them is convolved in the normal way with a periodic summation of the other function.
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E ective image compression requires a non-expansive discrete wavelet transform (DWT) be
employed consequently, image border extension is a critical issue. Ideally, the image border
extension method should not introduce distortion under compressio
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内附实验报告、源码及参考资料。1.周期卷积、循环卷积和线性卷积比较，2.DFT性质探究-Enclosing the lab reports, source code and reference materials. 1. Periodic convolution, circular convolution and linear convolution comparison, 2.DFT explore nature
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一、实验目的
1.掌握DFT频谱分析的原理与编程方法。
2.理解FFT算法的编程思想。
2.熟练掌握利用FFT对信号作频谱分析，包括正确地进行参数选择、画频谱
及读频谱图。
3. 利用FFT频谱分析进行快速卷积和太阳黑子周期性检测。
二、实验环境
1.Windows xp以上操作系统
2.安装MATLAB2007a软件(First, the purpose of the experiment 1. master the principle and programming m
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