5 , the discrete time periodic signals was represented by discrete time Fourier series using a parallel development of continuous time system. The Fourier series representations of CT and DT signals in these chapters are however applicable only if the signal is periodic. If the signal is non-...
Fourier Analysis of Discrete-time Signals and Systems In this chapter we present the Fourier representation and processing of discrete-time signals. If the Z-transform of a signal or the transfer function of a... L Chaparro - 《Signals & Systems Using Matlab》 被引量: 2发表: 2015年 Principl...
3. 在通信系统中,DTFT常用于分析信号的调制和解调过程,以确保信号的正确传输。 - In communication systems, DTFT is often used to analyze the modulation and demodulation process of signals to ensure the correct transmission of signals. 总结来说,DTFT是一种重要的数学工具,它能够将离散时间信号转换到频域,...
This is my understanding of sampling a signal in time domain. When performing a Fourier transform on a time discrete signal, we have to apply the... Luk Thread Oct 17, 2017 Tags Discrete Dtft Fourier Signals and systems Time Transformation Replies: 3 Forum: Electrical Engineering M ...
In the DWT, the signals of interest are aperiodic discrete signals. The discrete-time Fourier transform (DTFT) is used to analyze this type of signals... Sundararajan,D. - John Wiley & Sons, Singapore Pte. Ltd 被引量: 3发表: 2015年 基于迭代离散时间傅里叶变换插值的高精度频率估计 为实现...
However in most cases you do not know the mathematical formulas for the terms when you have arbitrary input. fft, Fast Fourier Transform, is an adaptation to finite discrete signals and so is suitable for arbitrary input of unknown properties. 댓글 수: 1...
The core element is the discrete time Fourier transform (DTFT), that leads to a maximum likelihood (ML) frequency estimation and can be conveniently implemented in a software defined radio (SDR) HW platform. The algorithm is based on the iterative evaluation of DTFTs in a single frequency ...
A method for the calculation of spectrum samples of discrete, aperiodic and finite signals based on the DTFT is proposed. This method is based on a flexible discretization of the frequency variable that could produce equidistant, sparse or unique spectrum samples. It is implemented in a GPU ...
frequency estimation in noisy signals, essential for signal synchronization, is pervasive in numerous domains such as power transmission [1,2,3], satellite control [4,5], mechanical systems [6,7], mobile communication [8,9], radar systems [10,11,12], and biomedical signal processing [13]....
The frequency estimation of complex exponential carrier signals in noise is a critical problem in signal processing. To solve this problem, a new iterative frequency estimator is presented in this paper. By iteratively computing the interpolation of DTFT