1) transformation and sampling
变换与采样
2) sample rate conversion
采样率变换
1.
Cascaded integrator comb(CIC) filters are widely used for sample rate conversion,but the large distortion of the pass band and the small attenuation of the stop band limit its applications.
为解决应用于采样率变换系统中的级联积分梳状(CIC)滤波器通带失真大和阻带衰减小对其应用的限制,在分析传统CIC滤波器传输函数和频谱特性的基础上,引入二级可调参数简单滤波器,设计一种高性能CIC滤波器。
2.
Directed at overcoming the pressure on DSP computation exerted by huge data quantity due to intermediate frequency sampling in the baseband in software radio system,the paper introduces the use of the technique of sample rate conversion in the receiver/sender and cascade integrator comb(CIC) filter to realize digital sampling rate conversion.
为了解决软件无线电通信系统中频采样之后的极大数据量在基带处理部分对DSP计算的压力,在发射和接收过程中采用采样率变换技术,并引入CIC滤波器实现采样率转换,很好地满足了抗混叠效应的要求。
3.
Directed at overcoming the pressure on DSP computation exerted by huge data quantity due to intermediate frequency sampling in the baseband in software radio system,the paper introduces the use of the technique of sample rate conversion and cascade integrator comb(CIC) filter to realize digital sampling rate conversion.
为了解决软件无线电通信系统中频采样之后的极大数据量在基带处理部分对DSP计算的压力,本文采用采样率变换技术,并引入CIC滤波器实现采样率转换,很好地满足了抗混叠效应的要求。
3) sampling rate conversion
采样率变换
1.
In this paper,a modified multiphase filtering algorithm based on direct decimation after multiphase interpolation is proposed,by which sampling rate conversion with arbitrary fraction for wideband signals can be implemented successfully.
提出了一种改进的多相滤波方法,通过多相内插后的直接抽取,可完成宽带信号任意分数倍的采样率变换。
4) nonsubsampled contourlet transform
非降采样Contourlet变换
1.
A new image de-noising method is proposed based on nonsubsampled contourlet transform(NSCT) with half-soft threshold.
提出一种基于非降采样Contourlet变换(NSCT)和半软阈值的图像去噪方法。
5) multilevel change of sampling rate
采样率多级变换
6) nonsubsampled contourlet transform(NSCT)
非下采样contourlet变换
1.
An image fusion method based on nonsubsampled contourlet transform(NSCT)is presented,which uses the nonsubsampled pyramids(NSP)and the nonsubsampled directional filter banks(NSDFBs)to decompose the source images in a multi-scale and multi-direction way.
摘要:提出了一种基于非下采样contourlet变换(NSCT)的多分辨率图像融合方法,通过非下采样金字塔(NSP)和非下采样方向滤波器组(NSDFB)实现对图像的多尺度多方向分解。
2.
A fusion algorithm based on Nonsubsampled Contourlet Transform(NSCT)and Pulse Coupled Neural Network(PCNN)was proposed.
提出一种基于非下采样contourlet变换(NSCT)与脉冲耦合神经网络(PCNN)的图像融合算法。
3.
This method was to obtain the value of a threshold automatically using the max signal-to-noise ratio and made different directions multiscale products of high frequency coefficient in order to detect edge of SAR images in NonSubsampled Contourlet Transform(NSCT)domain.
该方法利用信噪比最大自动选取阈值,在非下采样Contourlet变换(NSCT)域中,进行不同方向高频系数多尺度乘积以达到SAR图像检测边缘。
补充资料：Radon变换和逆Radon变换
Radon变换和逆Radon变换
X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于，它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积，即体素的线性衰减系数两维空间分布的可能性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条