The standard method for spectrum analysis in digital signal processing (DSP) is the discrete Fourier transform (DFT), typically implemented using a fast Fourier transform (FFT) algorithm. However, there are applications that require spectrum analysis only over a subset of the N center frequencies of an N-point DFT. A popular, as well as efficient, technique for computing sparse DFT results is t...

The main objective of the present paper is to introduce a new approach for measuring and calculation of fundamental power components in the case of various distorted waveforms including those containing harmonics. The parameters of active, reactive, apparent power and power factor, are measured and calculated by using Goertzel algorithm instead of fast Fourier transformation which is commonly u...

This paper introduces the theory and hardware implementation of two new algorithms for computing a single component of the discrete Fourier transform. In terms of multiplicative complexity, both algorithms are more efficient, in general, than the well known Goertzel Algorithm.

Dual-tone Multi-frequency (DTMF) Signals are used in touch-tone telephones as well as many other areas. Since analog devices are rapidly changing with digital devices, digital DTMF decoders become important. There are many DTMF decoding algorithms, but most of them cannot comply with the related International Telecommunications Union (ITU) and Bell Communications Research, Inc. (Bellcore) recom...

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the main purpose of this paper is to introduce afast method for gene prediction in dna sequences based on the period-3 property in exons. first, the symbolic dna sequences are converted to digital signal using the eiip method. then, to reduce the effect of background noise in the period-3 spectrum, we use the discrete wavelet transform (dwt) at three levels and apply it on the input digital sig...

3 Initial Pilot Study: September 2017, Hong Kong 7 3.1 Preliminary Experimental Results . . . . . . . . . . . . . . . . . 7 3.2 Comments by the Project Leaders . . . . . . . . . . . . . . . . . 8 3.2.1 Julia Mossbridge . . . . . . . . . . . . . . . . . . . . . . . 9 3.2.2 Eddie Monroe . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.2.3 Ben Goertzel . . . . . . . . . . . . . . . . . . . ....

Development of robust and efficient front-end is crucial for robust ASR. Proper time and frequency resolution of the TFR of speech, motivated by the auditory models is considered an important factor for robustness. An efficient method of realizing a variable resolution TFR using DTFT/Goertzel algorithm is proposed instead of the standard FFT based approach. It is shown that the new representati...