In this paper, we present a novel algorithm for sampling rate conversion by an arbitrary factor. Theoretically, sampling rate conversion of a discrete-time (DT) sequence can be performed by converting the sequence to a series of continuous-time (CT) impulses. This series of impulses is filtered with a CT lowpass filter, and the output is then sampled at the desired rate. If the CT filter is cho...

where Fin = 1/Tin (Tin) and Fout = 1/Tout (Tout) are the original input sampling rate (period) and the sampling rate (period) after the conversion, respectively. The sampling rate conversion can be divided into two general cases. For R < 1, the original sampling rate is reduced and this process is known as decimation. For R > 1, the original sampling rate is increased and this process is known ...

An efficient method for signal scaling and sampling rate conversion is presented. The method is particularly suitable for the sampling rate conversion ratios, or equivalently signal scaling ratios, close to unity, such as 24/25. Within the scope of the present work, the rate changes around unity is called as “gentle” changes. The implementation of gentle rate changes through conventional techni...

A new voice conversion method that improves the quality of the voice conversion output at higher sampling rates is proposed. Speaker Transformation Algorithm Using Segmental Codebooks (STASC) is modified to process source and target speech spectra in different subbands. The new method ensures better conversion at sampling rates above 16KHz. Discrete Wavelet Transform (DWT) is employed for subba...

A new voice conversion method that improves the quality of the voice conversion output at higher sampling rates is proposed. Speaker Transformation Algorithm Using Segmental Codebooks (STASC) is modified to process source and target speech spectra in different subbands. The new method ensures better conversion at sampling rates above 16KHz. Discrete Wavelet Transform (DWT) is employed for subba...

In single-rate systems, only one sampling rate is used throughout a digital signal processing system, whereas in multirate systems the sampling rate is changed at least once. This laboratory deals with the realization and analysis of multirate systems. In the first experiment we will examine the effects of decimation and interpolation. Furthermore, a small multirate signal processing system is ...

background: the aim of this study was to estimate the conversion rate from radiologically isolated syndrome (ris) to definite multiple sclerosis (ms). methods: during a mean (standard deviation [sd]) follow-up period of 17.4 (5.4) (range 8-29) months, 25 subjects with ris and without neurological symptom aged 22-45 year from a single-center have been examined for the occurrence of definite ms. ...

Recent results in sampling theory [1] showed that perfect reconstruction of non-bandlimited signals with finite rate of innovation can be achieved performing uniform sampling at or above the rate of innovation. We study analog-to-digital (A/D) conversion of these signals, introducing two types of ovrsampling and consistent

We consider analog to digital (A/D) conversion, based on the quantization of coefficients obtained via the projection of a continuous time signal over a set of basis functions. The framework presented here for A/D conversion is motivated by the sampling of an input signal in domains which may lead to significantly less demanding A/D conversion characteristics, i.e., lower sampling rates and low...