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signal相关的网络例句

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与 signal 相关的网络例句 [注:此内容来源于网络,仅供参考]

The classical signal analysis method is Fourier transformation, whose essence is to decompose the signal wave into many sine waves, and which also can be seen as representation of time function in frequency domain.

傅里叶变换是经典的信号分析方法,其实质是:把波形分解成许多不同频率的正弦波之和,可看作是时间函数在频率域上的表示。

Based on discussing the fundamental topology of a neural net for signal analysis and synthesis in mathematical way, a complete structure for adaptive signal analysis was implemented with modified functional-link net.

在此基础上,用NNAS方法对语音信号进行了分析与合成实验,在高压缩率的情况下,仍能得到很高清晰度的合成语音。

Detection on signal singularity point is also discussed in this thesis. Lift Wavelet this text also discussed lifting wavelet usage in other fields, such as: Detection on signal singularity point, Image fusion. Experiment enunciation, Lifting wavelet to all has a good performance in these aspects.

另外本文还用提升小波实现了变换信号奇异点的检测以及基于加权融合策略的图像融合;实验表明,提升小波在图像处理的其他方面也有很好的处理效果。

At first, the characteristics of probability distribution and frequency spectrum of noise inside measuring signal of feedback elements are discussed. Statistic filter method is come up with for noise signal of being Gauss distribution. It is analyzed reason that statistic filter method is superior to arithmetic average filter method.

分析了反馈元件测量信号中噪声的概率分布特性和频谱特性,对呈正态分布的噪声信号提出了统计滤波法,分析了该滤波法优于算术平均滤波法的原因。

Above all, the identification principle based on genetic algorithm is introduced. As a general method, the validity of algorithm is tested when testing signal is complex or testing signal includes noise.

作为一种通用性较强的辨识方法,分析和仿真验证了当测试信号为各种信号或测试信号含有噪声时本文提出的算法的有效性。

Then, utilizing the generalized distance difference of signal and noise to the anticipant signal, a novel detection algorithm is presented through polarization accumulation. In this paper, detect performance of radar system is improved obviously and more than 10dB.

在此基础上,利用信号和噪声的IPPS到期望点广义距离之间的差异,基于极化积累的思想,提出了一种基于IPPS的微弱信号检测算法,仿真结果表明该文算法可以实现10dB以上的性能改善。

In view of universality, function generator with the core of high speed MCU uses the chips of DDS and FPGA. On the basis of generating routine sine wave, it can modulate signal frequency and range. At the same time function generator can generate binary PSK and ASK signal.

考虑到通用性,信号发生器以高速单片机为核心,利用DDS芯片和FPGA,在产生常规正弦波的基础上,还可以对信号进行频率调制和幅度调制;同时还能产生二进制PSK、ASK信号。

This description refers to a "received signal" to generically describe a signal received at the base station, for example.

本说明所提到的"接收的信号"一般表述的是例如在基站上接收到的信号。

We decompose curvature signal with wavelet at first and then extract itslow frequency coefficients as new smooth curvature signal, which is used to constructa G~2 continuous piecewise rational cubic Bezier curve with GHI method subsequently.

本文首先对估算得到的离散曲率进行小波分解,提取其低频部分作为新的曲率,然后利用几何Hermite插值方法,重建出光顺的截面线。

We decompose curvature signal with wavelet at first and then use its low frequency coefficients as new smooth curvature signal, which is used to construct a G^2 continuous piecewise rational cubic Bezier curve with (Geometric Hermite Interpolation, GHI) GHI method subsequently.

针对在逆向工程的实践中常见的轮廓线的光顺问题,给出了一种先对曲率图进行小波分解,提取其低频部分作为新的曲率图,并利用几何Hermite插值方法,生成G^2连续的分段三次有理Bézier曲线,从而重建出光顺的产品轮廓曲线的新方法。

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Smoke Signal
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Signal De Plane
Zero Signal
Signal To Noise
Signal Faded
Bad Signal
Signal In The Sky
The Signal
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