frequency band signals

Using this algorithm , low frequency band signals , which include pitch information , can be precisely separated from noisy speech signal , and the pitch 's saltation can also be corrected .

该算法能精确地从含噪语音中分离出包含基音信息的低频子带信号，并且对基音周期的突变能够很好地纠正。

Using wavelet package transform ( WPT ) constructed on the basis of wavelet transform , the frequency band of signals can be uniformly divided and the signal features in time domain and frequency domain can be better extracted , so WPT possesses better performance for harmonic analysis .

小波包变换（WPT）建立在小波变换的基础上，可以实现信号频带的均匀划分，能够更好地提取信号的时频特性，具有更好的谐波分析特性。

So the targets we want to detect are belonged to low frequency and wide band signals .

所以我们要探测的目标多属于低频宽带信号。

Bandstop filter is also commonly used in anti-jamming equipment to prevent interference within a frequency band and noise signals .

利用滤波，可以从复杂的信号中提取所需的信号，抑制不需要的信号。

The wavelet analysis can effectively pick out each kind of noise and distinguish the characteristic frequency band of AE signals from rolling bearing .

小波分析有效剔出了各类噪声，识别出滚动轴承特征频带。

Secondly , through wavelet packet analysis , the bearing vibration signals are decomposed into a series of time-domain signals , each of which covers a specific octave frequency band . The signals covering the high-frequency resonance frequency-band are automatically extracted and reconstructed .

然后利用小波包分析可以在全频带内把信号分解到相邻的不同频带上的特性，对滚动轴承的振动信号进行小波包分解，自动提取共振频带上的信号并进行重构。

Real-time frequency and 2D angle estimation of wide frequency band signals with uniform circular arrays

用均匀圆阵实现宽频段来波信号频率和二维角估计

Frequency Angle 2D Angle Estimation of Wide Frequency Band Signals with Sub Nyquist Spatio temporal Sampling

时空欠采样宽频段信号频率和二维角估计方法

The fault feature frequency values and their frequency spectrum were extracted to obtain the feature in the fault frequency band of wavelet decomposition signals via Hilbert envelope spectrum .

在小波分解的故障频带内采用Hilbert包络谱提取故障特征频率值及其频谱获取特征信号。