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matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理,matlab compressed file, based on the time-frequency analysis of the ISAR echo processing course, based on the time-frequency analysis of multi-component FM signal processing edition
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In mathematics, the discrete-time Fourier transform (DTFT) is one of the specific forms of Fourier analysis. As such, it transforms one function into another, which is called the frequency domain representation, or simply the "DTFT", of the original
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S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。-S transform matlab source, and apply some signal as an example to illustrate how to use s and s transform transform can be used to do thing
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hht（希尔伯特黄变换）的matlab工具箱，其中包括时频分析工具箱-hht (Hilbert-Huang Transform) of the matlab toolbox, including the time-frequency analysis toolbox
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计算时间序列的快速傅里叶变换并画出时域和频域图，之前进行小波降噪。-Calculate the time series and fast Fourier transform time-domain and frequency domain plot diagram, before wavelet decomposition.
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FRFT时频变换代码（参考算法：H.M. Ozaktas, M.A. Kutay, and G. Bozdagi.Digital computation of the fractional Fourier transform.IEEE Trans. Sig. Proc., 44:2141--2150, 1996.）-FRFT transform time-frequency code (reference algorithm: HM Ozaktas, MA Kutay, and G. Bozda
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The frequency domain plays an important role in image
processing to smooth, enhance, and detect edges of images. Although
image data typically does not include imaginary values, the fast Fourier
transform (FFT) has been used for obtaining spect
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Linear and non-linear approximation with wavelets
Linear approximation is obtained by keeping M low frequency coefficients and then applying the inverse wavelet transform. Here we take M=n^2/4 by keeping n/2 x n/2 low frequency coefficients.
Lin
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Hilbert transform，在频率域实现实数序列的hilbert变换-Hilbert transform, in the frequency domain sequence to achieve real hilbert transform
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图像中的频率变换，包括快速傅里叶变换，幅度图像和相位图像，频率成分等-The image frequency transformation, including the fast Fourier transform, amplitude images and phase images, the frequency components, etc.
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离散分数阶傅里叶变换，可以处理非平稳信号，也可以很好的对抗多普勒频移，用在OFDM系统中尤为重要。-Discrete fractional Fourier transform, can handle non-stationary signal can also be very good against the Doppler frequency shift, used in the OFDM system is particularly important.
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CWT (Continuous Wavelet Transform). It can resolve seismic data and detect hydrocarbon directly. We may set it in a single frequency to visualize current frequency of stratigraphy
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使用每秒10个采样的频率 ，对信号 进行采样，画出原始信号的傅立叶变换X(f) 和理想采样信号的傅立叶变换 。假定重构滤波器是带宽为 的理想低通滤波器，具有带通增益 ，画出重构滤波器的输出-Using 10 samples per second frequency, the signal is sampled, to draw the original signal Fourier transform X (f) and the ideal sampling signal Fourier tra
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很好的空间music谱估计的例子 空间傅里叶变换-A good example of space music spectrum estimation Fourier transform space
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語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。-Voice signal is based on the timeline of one-dimensional digital signal, where mai
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本文分析了语音数字信号的采集来源以及其预处理。通过实例，利用Matlab对语音信号进行时频变换与分析，同时构造一个固定频率的干扰信号，对两个信号进行合成，设计数字滤波器，实现对语音信号的F IR、IIR滤波处理，最后在时域和频域中对信号进行分析比较。-This paper analyzes the sources of voice digital signal acquisition and its pretreatment. By example, voice signals using Ma
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对一维信号进行连续小波变换，从时频角度分析和处理信号！-One-dimensional continuous wavelet transform signals from time-frequency analysis and signal processing point of view!
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Matlab source code for all of time frequency distribution: choi-Williams, short time fourier transform, Wigner Ville, Hilbert,.... Clear explain in english. All source code have been tested and WORKED!!!!!
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The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly
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Time Frequency Toolbox matlab时频分析工具箱,里面有各种时频分析函数，用matlab实现的，小波变换，Gabor变化，短时傅里叶变换等等(AF Ambiguity function
AR Auto-regressive (filter or model)
ASK Amplitude shift keyed signal
BJD Born-Jordan distribution
BPSK Binary phase shift keyed signal
BUD
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