• 经验模式分解主要思想类似小波变换分解结果高频低频分布的,噪声主要集中层。

    EMD similars the wavelet transforms, the decomposition result is from high frequency to the low frequency distribution, namely the noise mainly concentrates in first several.

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  • 分解出的高频图像经过后继处理即可定位车牌,这种算法不仅提高了车牌定位的速度而且大大提高了定位的准确率

    The license plate region is positioned by disposing the high frequency image created by wavelets operationthis arithmetic enhances the position velocity and accuracy.

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  • 首先信息函数最小选择优小基,然后其对燃气负荷进行二层分解得到负荷的低频信号高频信号。

    Firstly, the best wavelet basis selection was conducted via message entropy function; then the gas load was decomposed to low frequency signal and high frequency signal by two times through it.

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  • 不同融合策略中,多光谱图像分解高频系数融合图像贡献区别的,这种区别在一定程度上导致了融合结果的差别。

    The contribution of multi-spectral image decomposition high-frequency coefficients to the fused image is different, and it is this distinction has led to the difference of fused image.

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  • 基于信号奇异性检测理论利用小波分解高频系数是否具有极大值作为区分稳态稳态现象判据

    Based on the theory of signal strangeness detect, the maxima modulus in high frequency of wavelet resolving can be used as a criterion to classify steady and non-steady state phenomena.

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  • 通过对开关函数求傅里叶级数,将开关函数模型分解高频低频两个模型,从而求得整流器状态空间平均模型。

    The switching function model may be divided into two models of high frequency and low frequency. Then the average model for condition space of the rectifier is developed.

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  • 网络流量分解不同频段,根据高频段频谱能量波方变化对网络流量异常进行检测

    Network traffic is broken down into different frequency, and anomaly change of network traffic is detected through the high-frequency power analysis, that is the change of wavelet variance.

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  • 针对高频地波雷达回波信号中的电离层提出了利用时频分析特征值分解抑制杂波的方法

    To suppress ionospheric clutter in the echo signal of high frequency surface wave radar (HFSWR), a method to suppress clutter based on time-frequency analysis and eigenvalue decomposition is proposed.

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  • 校正量可以分解低频高频分量

    Static correction can be broken down into low-frequency and high-frequency components.

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  • 从而获得大小随频率分解而增长

    Improving the frequency resolution requires more data points per average. Thus, the acquisition block size increases with finer frequency resolutions.

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  • 从而获得大小随频率分解而增长

    Improving the frequency resolution requires more data points per average. Thus, the acquisition block size increases with finer frequency resolutions.

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