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2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wave
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在图象中，边缘是由灰度级和相邻域点不同的象素点构成的。因而，若想增强边缘，就应该突出相邻点间的灰度级的变化。微分运算可用来求信号的变化率，因而具有加强高频分量的作用。如果将其应用在图象上，可使图象的轮廓清晰。由于我们常常无法事先确定轮廓的取向，因而挑选用于轮廓增强的微分算子时，必须选择那些不具备空间方向性的和具有旋转不变的线形微分算子。-In the image, the edge is adjacent to the gray-scale and different domains consi
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MATLAB在信号处理中的应用 2
线性时不变系统
线性时不变系统的响应
线性时不变系统的频率响应 -MATLAB in signal processing of the application of two linear time-invariant system linear time-invariant system response linear time-invariant system, the frequency response
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About UWB A co-basis is a special orthonormal basis, of the Hilbert function space, whose base functions are shape-invariant to Fourier transform except for phase shifts known a priori. A notable advantage of the co-basis orthonormal-expansion method
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Frequency Selective Time Invariant Channel Model Function
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离散时域分析，变换离散频域分析，通过各个分析更好的理解离散信号-Laboratory Exercise 4
LINEAR, TIME-INVARIANT DISCRETE-TIME SYSTEMS: FREQUENCY-DOMAIN REPRESENTATIONS
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Coefficients a and b control the low and high frequency ranges that the watermark affects. Because of the watermark invariant properties, we embed the watermark only in the Fourier descr iptor magnitude. We use the inverse Fourier transform of the Fo
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Theory and design of broadband sensor arrays with frequency invariant far-field beam patterns
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线性时不变离散时间系统的频域分析传输函数和频率响应，-Linear time-invariant discrete-time system transfer function and frequency domain analysis of frequency response,
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系统识别大牛Ljung对最新时域和频域技术的总结，感兴趣的朋友可以看一看！-Identifi cation of time-invariant linear dynamic
systems is a mature subject. In this contribution we focus on
the interplay between methods that use time and frequency
domain data, respectively.
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A Bode plot is a graph of the transfer function of a linear, time-invariant system versus frequency, plotted with a log-frequency axis, to show the system s frequency response. It is usually a combination of a Bode magnitude plot, expressing the magn
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频域光照归一化的人脸识别
基于NSCT和SQI的光照不变量及人脸识别
张量局部判别投影的人脸识别
基于全局和局部特征集成的人脸识别-Frequency-domain light normalized face recognition
based on the NSCT and SQI s illumination invariant face recognition
Zhang amount Bureau Ministry of discriminant projectio
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双线性变换法及脉冲相应不变法设计IIR数字滤波器,观察双线性变换及脉冲响应不变法设计的滤波器的频域特性，了解双线性变换法及脉冲响应不变法的特点。-Bilinear transform and impulse response invariant design method of IIR digital filter, and observed the frequency domain characteristics of the bilinear transformation and impul
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基于平移不变小波变换的多普勒速度声纳输出信号处理.针对水下航行器组合导航系统所使用的多普勒速度声纳输出信号的特点,采用了平移不变小波变换的多分辨率分析的方法,利用Daubechies小波函数,采用了半软阈值去噪的方法,能够在低信噪比的情况下准确地估计多普勒声纳的频移,从含有噪声的多普勒输出信号中提取出原始信号.通过仿真实验表明:采用4层小波分解,算法计算量减小,有效地消除多普勒噪声,从而提高水下组合导航系统的精度. -Doppler speed the sonar output signal p
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Contourlet 变换的平移不变性在奇异性方面导致了伪Gibbs 效应。而NSCT是一种平移不变、多尺度和多分辨率的冗余变换，它对滤波器上采样再进行分析和综合滤波，这种滤波器的设计及重构易于实现，能更好地采集频率且具规律性，在图像去噪中得到了广泛的应用。-Contourlet transform translation invariance in singularity aspects led to the pseudo Gibbs effect. And NSCT is a kind o
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在图象中，边缘是由灰度级和相邻域点不同的象素点构成的。因而，若想增强边缘，就应该突出相邻点间的灰度级的变化。微分运算可用来求信号的变化率，因而具有加强高频分量的作用。如如果将其应用在图象上，可使图象的轮廓清晰。由于我们常常无法事先确定轮廓的取向，因而挑选用于轮廓增强的微分算子时，必须选择那些不具备空间方向性的和具有旋转不变的线形微分算子。
-In the image, the edge is constituted by the pixel dots of different gray le
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arious linear time-invariant electromagnetic systems are
most conveniently analyzed in the frequency domain
because there exist mature computational techniques (e.g.,
[1]) and related software (e.g., [2, 3]). Most measurements of
antennas and
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线性定常系统的频域分析方法matlab仿真程序-Linear time-invariant system frequency domain analysis methods matlab simulation program
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HOG即histogram of oriented gradient, 是用于目标检测的特征描述子，该技术将图像局部出现的方向梯度次数进行计数，该方法和边缘方向直方图、scale-invariant feature transform类似，不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG，用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
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frequency offset invariant multiple symbol differential detection of MPSK.the objective is to design most robust receiver against random frequency variations.-frequency offset invariant multiple symbol differential detection of MPSK.the objective is
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