In this paper, a novel method for the extraction of aspect-independent parameters (that are analogous to complex natural resonances) chipless radio frequency (RF) identification (RFID) tags is presented. This based on short-time Fourier transform (STFT). The concept proved by utilizing classical depolarizing tags. Owing proposed spectrogram approach, reading success rate RFID tag improved accur...

The Fourier transform is an integral part of signal processing of any kind. To be able to analyze an input signal as a superposition of infinitely many signals of different frequency allows for manipulation of the coefficients and, after completing the inverse Fourier transform, interesting effects on the initial signal. Thus, in my project I focused on creating pitch correction effects as seen...

A framework for approximate signal processing is introduced which can be used to design novel classes of algorithms for performing DFT and STFT calculations. In particular , we focus on the derivation of multi-stage incremen-tal reenement algorithms that meet a variety of design criteria on the tradeoo achieved at each stage between solution quality and computational cost.

Examples of applications special trans function theory (STFT) which may be useful in obtaining closed-form analytical solutions certain transcendental equations found undergraduate physics is presented. The novelty the method can utmost importance to academia involved physics.

The time–frequency characteristics of electromagnetic radiation (EMR) waveform induced by rock fracture are very important to the monitoring and early–warning using EMR method for mine rockburst. empirical wavelet transform (EWT), as a analysis method, has advantages clear theoretical basis, convenient calculation, no modal aliasing. To apply EWT field analysis, operation Fourier axis segmentat...