为消除VGA到TV视频转换中的图像闪烁及获得图像的TV显示，分析了闪烁产生及分辨率变换的机理。
For eliminating graphic flicker and acquiring TV display of image from VGA to TV video conversion, the mechanisms of graphic flicker and resolution conversion are analyzed.
接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation.
该方法与反褶积方法比较，小波变换后的测井曲线更能反应细节信息，具有更高的纵向分辨率。
Compared with deconvolution method, the well log curves transformed by wavelet analysis contain more detailed information and reach higher vertical resolution.
快速傅立叶变换用到的窗宽度长度有限，因此不能获得完美的频率分辨率。
In STFT is window is of finite length, and we no longer have perfect frequency resolution.
从理论上计算各个参数的设置范围，并且证明小波变换方法比FFT方法有较高的频率分辨率。
Calculates the setting range of each parameter in theory, and proves the method of wavelet transformation has higher frequency resolution than the method of FFT.
对核测井曲线进行付氏变换，其纵向分辨率可以从分析振幅谱斜率变化中获得。
Used Fourier transforming the nuclear logs, its vertical resolution can be achieved from analyzing the changes of amplitude spectrum slope.
图像的分辨率调整和格式变换，都需要用到图像缩放技术。
Both image resolution adjustment and format conversion need the image zooming technique.
与传统的数据长度补零逆傅里叶变换方法相比，在相同的采样分辨率条件下，该方法能有效减小计算量。
Compared with traditional inverse Fourier transform method, which used zeros padding method, at the same condition of sampling resolution, the method proposed could decrease the calculation load.
双线性时间-频率变换在时间域与频率域都具有较高的分辨率，有利于复杂背景条件下微弱瞬时信号的探测。
Bilinear time-frequency transform possesses a high resolution both in the time domain and the frequency domain. It can be utilized to detect weak transient signal in complex background.
提出了一种基于分波前干涉结构的全反射式高分辨率傅里叶变换成像光谱仪。
We present an all-reflective Fourier transform imaging spectrometer (FTIS) with high resolution based on the principle of wavefront-splitting interference.
光纤傅里叶变换光谱仪的光谱分辨率是由最大光程差决定的。
Spectral resolution of optical fiber Fourier transform spectrometer depends on maximum optical path difference (OPD).
小波变换作为一种新型的信号处理方法，因其可以对信号进行多分辨率分析并有高效算法，所以在DSP上得到了广泛应用。
As a new signal processing method, wavelet transform has been widely used on DSP, for it can analyze signal with multi-resolution and has efficient algorithm.
此方法回避了多维谱峰搜索和参数配对，克服了在短数据时离散傅立叶变换测频分辨率低和性能差的不足。
Without any spectral peak search and parameters pairing, the resulting method is computationally efficient with high resolution and small variance, even in the short data length.
文中重点研究了数字高程模型的小波变换简化以及构建多分辨率数字模型中LOD简化技术并进行试验应用。
In the paper focal point was put on the model simplification with wavelet transform and the construction of multi-resolution model with LOD technology and at the same time trial was applied.
短时傅里叶变换技术存在窗口问题，限制了垂向分辨率，而且不能适应地层厚度的变化；
STFT method has the window problem, which limits the vertical resolution, and cannot adapt the thickness transverse change of layers.
首先，通过拉普拉斯金字塔变换将源图像分解为各级分辨率的子图像。
Firstly, the source images are decomposed into sub-images at different scales through Laplacian pyramid transform.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
图像的分辨率调整和格式变换，都需要用到图像缩放技术。
Image scaling is used when the resolution and format of image is adjusted.
一旦迭代过程收敛，通过对点扩散函数进行傅立叶变换即可得到待测低分辨率图像的MTF。
Once the process has converged, taking the Fourier Transform of the PSF gives the estination of the low resolution image MTF.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
实践证明：用基于短时傅里叶变换的瀑布图来分析非平稳信号，具有分辨率高、特征提取结果更为精确的特点。
It proved that using the Waterfall based on Short-Time Fourier Transform to analyze non-balanced signal has many advantages such as.
噪声的存在是图像分割的困难所在，本文着重研究了基于小波变换的多分辨率分割中噪声抑制的问题。
Suppressing noise is the difficult problem in image segmentation, so we have study suppressing noise in multiresolution segmentation based on Wavelet transform.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
对去噪后的心音信号，本文进行了短时傅立叶变换，不同长度的时间窗对应了不用的时频分辨率。
After denoising, it analyzes PCG signal by Short-Time Fourier Transform (STFT). Different window-width is corresponding to different time-frequency resolution.
文中研究了简单的图像融合方法、基于多尺度塔形分解的多分辨率图像融合方法和基于小波变换的图像融合方法。
The simple image fusion method, the multiresolution image fusion techniques based on multiscale pyramid decomposition (MPD), and the image fusion method based on wavelet transform are studied.
提出一种基于二进小波变换与多层分组神经网络的自由手写体数字的多分辨率识别算法。
In this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.
同时利用了小波变换的多分辨率性质，以渐近分辨率的方式压缩图片，具有分辨率可扩展性。
In addition, by exploiting the multi-resolution property of wavelet, the scheme that is resolution-scaleable can compress the transformed image for progressive resolution.
依据信号与噪声的小波变换在不同分辨率下呈现不同特性的特点，提出了多分辨率支集图像低通滤波方法。
Multiresolution support for lowpass filtering is introduced according to different property of wavelet transform for signal and noisy at different scale.
提出了一种基于小波变换的块大小可变的多分辨率运动估计方法(VBMRME)，以减少图象间的时间冗余。
A scheme of variable block size Multiresolution Motion Estimation (VBMRME) is presented in this paper, which reduces temporal redundancy between pictures of the image sequence.
提出了一种基于小波变换的块大小可变的多分辨率运动估计方法(VBMRME)，以减少图象间的时间冗余。
A scheme of variable block size Multiresolution Motion Estimation (VBMRME) is presented in this paper, which reduces temporal redundancy between pictures of the image sequence.
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