Although the filtering method in frequency domain can solve the time variant filtering problem based on Fourier transform, the method may appear a false anomaly in conjunct part between Windows.
频率域滤波方法虽然可解决时变滤波问题，但这种方法是基于傅里叶变换，在窗口与窗口之间的接合部位会出现假异常。
The wavelet transform is of good localization property in the domain of time and frequency, which provides a comprehensive application in processing acoustic wave.
小波变换同时有在时间域和频率域对信号进行局部化的特点，使其在声波信号处理中有着广泛的应用前景。
The basic function of this program is the signal to Fourier transform, and the simultaneous extraction of his time domain and frequency domain characteristic values.
说明：本程序的基本功能是对信号进行傅里叶变换，并同时提取出他的时域和频域的特征值。
The main characteristics of wavelet transform is that some character can well outstanding by transformation and it is an important way to study signal in time-frequency domain.
小波变换的主要特点是通过变换能够充分突出某些方面的特征，它是研究信号时-频分析的重要方法。
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.
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。
Meanwhile, data of complete time domain waveform is needed in order to calculate accurate S-parameters of frequency domain via fast Fourier transform (FFT).
而要通过快速傅立叶变换(FFT)获得准确的频域参数，又必须得到完整的时域波形数据。
Here, secondary treatment methods are introduced in detail, include time domain signal statistics character, frequency analysis fast Fourier transform (FFT), and short time Fourier transform (STFT).
这里，主要对二次处理的方法作了详细的介绍，包括时域信号的统计特征，频域分析的傅立叶变换和短时傅立叶变换。
How to transform a character string into a numerical sequence is discussed from the time domain and the frequency domain.
主要从时域和频域两方面说明符号序列如何转换为数值序列。
Short time Fourier transform was used to analyze the simulated signal in the time-frequency domain, a micro-Doppler image that can demonstrate the target characteristics was generated.
采用了短时傅里叶变换方法对仿真信号进行了时频分析，得到了能够较好地反映目标特征的微多普勒图像。
Order analysis based on FFT is a transform between time-domain signal and frequency-domain signal and furthermore, it is the most important vibration analysis of rotational machinery.
阶次分析是基于FFT的一种时频转换谱分析，它是变速旋转机械体振动分析的最重要的一种方法。
Firstly we have detailedly studied the time-domain, frequency-domain and transform-domain LMS adaptive digital filters.
首先较细地研究了时域、频域和变换域最小均方自适应滤波器。
This paper describes the need to transform the continuous periodic signal in time domain to the discrete signal in frequency domain by using Fourier Series (FS).
讨论了利用傅里叶级数把连续周期时域信号转换成离散的频域信号的必要性。
The wavelet transform has favorable localization character in time domain and frequency domain, which is specially applicable in wideband signal.
介绍了连续子波变换的定义和性质：基于子波变换在时域和频域的良好局部化性质；
The discrete wavelet transform(DWT) has a localized characteristic in time-frequency domain and a transform mechanism that accords with human visual system.
小波变换具有时频局部化特性和与人眼视觉特性相符的变换机制，而混沌序列具有确定、似随机、不可预测等特性。
Implementing Fourier Transform to solve the acoustic pressure correction equation in the frequency domain can avoid cockamamie retarded time calculation.
通过傅立叶变换在频域求解声压方程，避免了繁琐的时间延迟计算。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
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