With efficient tools for computing the Fourier transform in hand, in this lecture we briefly describe issues that arise when we try to use this tool to analyze signals. We will discuss two major issues. The first is the effect of only collecting a finite number of samples x[0], . . . , x[L − 1], rather than observing x[n] for all n. The second is what happens when the signal of interest has fre...

The chirplet transform is the generalization form of fast Fourier Transform, short-time Fourier transform, and wavelet transform. It has the most flexible time frequency window and successfully used in practices. However, the chirplet transform has not inherent inverse transform, and can not overcome the signal reconstructing problem. In this paper, we proposed the improved chirplet transform (...

In this paper we present an example of the use of the singing voice as a controller for digital music synthesis. The analysis of the voice with spectral processing techniques, derived from the Short-Time Fourier Transform, provides ways of determining a performer’s vocal intentions. We demonstrate a prototype, in which the extracted vocal features drive the synthesis of a plucked bass guitar. T...

After several decades of continuously optimizing computing systems, the Moore's law is reaching itsend. However, there an increasing demand for fast and efficient processing systems that can handlelarge streams data while decreasing system footprints. Neuromorphic answers thisneed by creating decentralized architectures communicate with binary events over time. Despiteits rapid growth in last f...

During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...

the purpose of the current research is investigating the phenylalanine removal by using magnetic nanoparticles (fe3o4) from water samples. the effect of ph, contact time and phenylalanine concentration on phenylalanine adsorption efficiency by magnetite nanoparticles are studied in a batch system. transmission electron microscopy (tem), x-ray diffraction patterns (xrd) and fourier transform inf...