The frequency-domain (Fourier) representation not only provides an alternative view of discrete-time signals but also provides a way to compute certain time-domain operations, like convolution and correlation, more efficiently. When a discrete-time signal or sequence is non-periodic or aperiodic, ...
Frequency Domain Representation of Discrete-Time Signals and Systems K Thyagarajan - 《Introduction to Digital Signal Processing Using Matlab with Application to Digital Communications》 被引量: 0发表: 2018年 Spectrum representation of discrete-time signals Page 1. Spectrum representation of discrete-time...
It is the Fourier series of discrete-time signals that makes the Fourier representation computationally feasible. If the region of convergence of the Z-transform of a signal or of the transfer function of a discrete system includes the unit circle, then the DTFT of the signal or the frequency...
1 Chapter3 FourierSeriesRepresentation ofPeriodicSignals 2 3.0INTRODUCTION Representationofcontinuous-timeanddiscrete-time periodicsignals—Fourierseries. UseFouriermethodstoanalyzeandunderstand signalsandLTIsystems. 3 TimedomainFrequencydomain Basicsignal Inputsignal Outputsignal ][)(nt tj et ,cos ][)(nxtx ...
They then show how the exponential kernel controls the cross terms as represented in the generalized ambiguity function domain, and they analyze the ED for two specific types of multicomponent signals: sinusoidal signals and chirp signals. Next, they define the ED for discrete-time signals and the...
In the process we propose a new type of string kernel, i.e. time-decay n-grams, and a sequential Parzen windows algorithm based on discrete representations. We begin our representation by constructing an alphabet using an arbitrary partitioning of the real-valued returns of the currency pair, ...
The Zak transform is one of the various time-frequency representations that are used in the field of signal analysis. We examine its performance for the type of signals encountered in NMR spectroscopy. A discrete version of the Zak transform is derived and typical examples are presented. The res...
Position-Aware and Subgraph Enhanced Dynamic Graph Contrastive Learning on Discrete-Time Dynamic Graph Unsupervised learning methods such as graph contrastive learning have been used for dynamic graph representation learning to eliminate the dependence of la... J Feng,T Liu,C Du - Tech Science Press...
Time-scale and pitch modifications of speech signals and resynthesis from the discrete short-time Fourier transform The modification methods described in this paper combine characteristics of PSOLA-based methods and algorithms that resynthesize speech from its short-time... VH He - 《Speech Communicatio...
For example, the Wigner distribution (WD) in the windowed (pseudo) discrete-time form is given as: (22)WD(t,ω)=∑nw(n)y(t+n)y*(t−n)exp(−j2ωn) (23)=∑nw(n)ryy(t,n)exp(−j2ωn), where w(n) is the window function. For the linear FM signal, x(t)=Aexp(jat...