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采用OPENCV封装的图像二维DFT运算，通过该类可生成图像二维傅里叶变换矩阵，通过可选参数可调整生成傅里叶矩阵、傅里叶频谱同时可选择对数加强属性增强傅里叶频谱的显示效果。-OPENCV package using two-dimensional DFT computation of image, the image can be generated through such two-dimensional Fourier transform matrix generated by the op
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Fourier变换，逆变换后信号的合成，及Fourier变换的一些性质分析。-Fourier transform, inverse transform signal synthesis, and some properties of Fourier transform analysis.
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数字图象处理教程
INTRODUCTION 4
DIGITAL IMAGE DEFINITIONS 5
COMMON VALUES 6
CHARACTERISTICS OF IMAGE OPERATIONS 7
TYPES OF OPERATIONS 7
TYPES OF NEIGHBORHOODS 8
VIDEO PARAMETERS 9
TOOLS 9
CONVOLUTION 10
PROPERTIES OF CONVOLUTION 10
FOUR
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门信号的波形及其频谱；付里叶变换的对称特性-Gate signal waveform and its spectrum Fourier transform symmetry properties
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付里叶变换的频移特性；付里叶变换的时域卷积特性-Fourier transform of the frequency shift characteristics the Fourier transform of time domain convolution properties
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快速傅氏变换（FFT）是离散傅氏变换(DFT)的快速算法，它是根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的。快速傅里叶变换有广泛的应用，如数字信号处理、计算大整数乘法、求解偏微分方程-Fast Fourier Transform (FFT) is the discrete Fourier transform (DFT) in the fast algorithm, which is based on discrete Fourier transform of t
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快速傅氏变换（FFT）是离散傅氏变换的快速算法，它是根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的。它对傅氏变换的理论并没有新的发现，但是对于在计算机系统或者说数字系统中应用离散傅立叶变换，可以说是进了一大步。数字信号处理器(DSP)是一种可编程的高性能处理器，近年来发展很快．它不仅适用于数字信号处理，而且在图像处理、语音处理、通信等领域得到了广泛的应用．通用的微处理器在运算速度上很难适应信号实时处理的要求．联沪处理器中集成有高速的乘法器硬件，能快速地进行大量数据的
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快速傅氏变换，是离散傅氏变换的快速算法，它是根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的-Fast Fourier transform, discrete Fourier Transform Algorithm, which is the discrete Fourier transform of the odd and even, true, real and other properties, on the discrete Fourier transform
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快速傅氏变换，是离散傅氏变换的快速算法，它是根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的-Fast Fourier transform, discrete Fourier Transform Algorithm, which is the discrete Fourier transform of the odd and even, true, real and other properties, on the discrete Fourier transform
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This demonstration is intended for people who know something about the theory of the discrete Fourier transform, and who would find it helpful to see some its properties demonstrated graphically, using a programming language.
The demonstration s
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1 Haar Wavelets
1.1 The Haar transform
1.2 Conservation and compaction of energy
1.3 Haar wavelets
1.4 Multiresolution analysis
1.5 Compression of audio signals
1.6 Removing noise from audio signals
1.7 Notes and references
2 Daub ech
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提出Radon变换的一系列性质，对于重要性质给予了证明，并且利用广义函数和Fourier变换得到Radon变换的反演定理
-The Radon transform of a series of properties, and give a proof of the important properties, and the use of generalized functions and the Fourier transform of the Radon transform inversi
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A Fast Fourier Transform(FFT) is an efficient algorithm for calculating the discrete Fourier transform of a set of data. A DFT basically decomposes a set of data in time domain into different frequency components. DFT is defined by the following equa
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使用图形化的方法显示傅里叶变换的一些性质(至少应包括时移性质和尺度变换性质)
对于信号的时移和频谱的关系，选择一个信号，让它在时域上作移位，可调节不同的时移大小，然后用软件演示其傅立叶变换在幅度上几乎没有变换，但在相位上会有变化。
对于信号的时间与频率的尺度变换，给出一个信号，保持其幅度不变，让信号的宽度发生变化，再观察其频域的变化。-Using a graphical method to display some of the properties of the Fourier tra
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2.1 傅里叶变换
2.1.1 经典傅里叶变换
2.1.2 傅里叶变换的基本性质
2.1.3 快速傅里叶变换
2.1.4 短时傅里叶变换
2.2 小波分析与多分辨率分析的历史
2.3 小波分析与傅里叶变换的对比
2.4 小波变换
2.4.1 连续小波变换
2.4.2 离散小波变换
2.4.3 高维小波连续变换
2.5 常用小波基函数
2.5.1 小波函数
2.5.2 小波函数系
2.5.3 复数小波
2.6 构造紧支撑正常小波基
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The generalized continuous wavelet transform associated
with the fractional Fourier transform-The main objective of this paper is to study the fractional Fourier transform (FrFT ) and the
generalized continuous wavelet transform and some of their
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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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In this
section, the procedure for Fourier magnitude computations is described examples
using real speech signals are included to illustrate the technique. Note that Fourier
magnitudes are calculated only when the frame is voiced or jittery voi
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傅里叶光学。
光学衍射
透镜
理论和实验(A complete descr iption of the imaging system, however,
requires the wave properties of light and associated processes like diffraction to be included. It is these processes that determine the resolution of optical devices, t
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FT是一种FT的高效算法，称为快速傅立叶变换（fast Fourier transform），它根据离散傅氏变换的奇、偶、虚、实等特性，对离散傅立叶变换的算法进行改进获得的。(FT is an efficient algorithm for DEFT, called fast U Lie transform (fast Fourier transform). It is obtained by improving the algorithm of discrete U Lie transform
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