Description: 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 of two. This results in a reference signal r1[n] which is the decimated output obtained by dropping the odd samples of the low pass filter output and a detail signal d[n] obtained by dropping the odd samples of the highpass filter output. A circular convolution algorithm is implemented and hence the wavelet transform is periodic. The reference signal and the detail signal are each half the size of the original signal. Platform: |
Size: 1024 |
Author:pranav |
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Description: 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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Size: 1024 |
Author:humbang |
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Description: 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。一个额外的参数允许在错误控制。
附加形状选项允许：（一）2 - D“的通知“执行卷积- 也就是说，输入数组被视为周期，而不是零包围 （二）一个“反思“的边界条件- 那就是，输入数组被视为体现了自身的副本包围。
看到 计算机和机器人视觉 第一卷，由R.M. Haralick和L.G.夏皮罗（Addison - Wesley出版1992年），第298-299
-CONVOLVE2 can be used wherever CONV2 is used, taking the same arguments and returning the same results to within a small tolerance. The computation is speeded up by using the singular value decomposition of the mask to express it as a sum of outer products. Each of these can be computed efficiently as convolution with a row and a column vector. CONV2 is used to carry this out.
Separable masks are a particular case and are handled by CONVOLVE2 much as FILTER2 does. Many other masks which are not separable have low rank (e.g. Gabor function masks) and are handled more efficiently by CONVOLVE2.
The function will also compute a reduced-rank approximation to a given mask if required and will use this if it will speed up the computation. An extra argument allows control over the error.
Additional shape options allow: (a) 2-D "circular" convolution to be performed- that is, the input array is taken to be periodic rather than surrounded by zeros (b) a "reflection" boundary c Platform: |
Size: 6144 |
Author:namind |
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Description: 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 convolution-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 convolution Platform: |
Size: 1024 |
Author:prabu |
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Description: 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 periodic signal recognition, delayed signal detection, CDMA application. Platform: |
Size: 3072 |
Author:shelly |
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Description: 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 time signal in MATLAB applications 3, continuous time signal convolution calculation 4, continuous-time LTI system 5 time domain analysis, Fourier series and periodic signal 6 spectral analysis, Fourier transform and its properties 7, continuous time-frequency characteristics and frequency domain analysis of LTI Systems Analysis 8, 9 signal sampling and sampling theorem, time domain Rio de la Chapter systematic analysis of continuous-time LTI transform Sri Lanka Platform: |
Size: 769024 |
Author:小张 |
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Description: 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. Platform: |
Size: 1024 |
Author:ashish jalli |
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Description: 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 compression. It has been shown in
literature that symmetric extension performs better than periodic extension. However, the
non-expansive, symmetric extension using fast Fourier transform and circular convolution
DWT methods require symmetric lters. This precludes orthogonal wavelets for image compression
since they cannot simultaneously possess the desirable properties of orthogonality
and symmetry. Thus, biorthogonal wavelets have been the de facto standard for image compression
applications. The viability of symmetric extension with biorthogonal wavelets is
the primary reason cited for their superior performance.-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 compression. It has been shown in
literature that symmetric extension performs better than periodic extension. However, the
non-expansive, symmetric extension using fast Fourier transform and circular convolution
DWT methods require symmetric lters. This precludes orthogonal wavelets for image compression
since they cannot simultaneously possess the desirable properties of orthogonality
and symmetry. Thus, biorthogonal wavelets have been the de facto standard for image compression
applications. The viability of symmetric extension with biorthogonal wavelets is
the primary reason cited for their superior performance. Platform: |
Size: 2140160 |
Author:bamerni |
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Description: 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 method of DFT spectrum analysis. 2. understand the programming idea of FFT algorithm. 2. skillfully using FFT to make spectrum analysis of signals, including correctly selecting parameters and drawing spectrum And the spectrum reading. 3. the fast convolution and the periodic detection of sunspot are carried out by FFT spectrum analysis. Two. Experimental environment 1.Windows XP operating system 2. install MATLAB2007a software) Platform: |
Size: 63488 |
Author:球球ss |
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Description: Circular convolution, also known as cyclic convolution, is a special case of periodic convolution, which is the convolution of two periodic functions that have the same period. Platform: |
Size: 733 |
Author:HarshRanjan |
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Search - convolution periodic