�bstract—A method for evaluation of the performance of fundamental frequency estimation algorithms is proposed. The method determines the minimum signal-to-noise ratio �SNR) necessary for given frequency estimation algorithm to work properly and also provides the accuracy of the estimates. Therefore, the proposed method allows one to determine if a given frequency estimation algorithm is adequated for a specific application, taking into account the available SNR and the precision requirements. Index Terms—digital signal processing, fundamental fre-quency, performance evaluation. I
This thesis addresses three aspects of frequency estimation. First, the problem of accurately estima...
This paper describes two different measuring methodology for calculating fundamental power system fr...
Precise frequency and phase estimation are important aspects of a telecommunication system. They are...
Fundamental frequency is a critical component in speech signal processing analysis. The fundamental ...
Three frequency estimation algorithms are considered and their performance evaluated against real da...
AbstractMeasurement system requires frequency to be estimated using digital signal processing techni...
Frequency estimation has been studied for a number of years.One reason for this is that the problem ...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
A new algorithm of power system frequency estimation is presented. The algorithm applies orthogonal ...
The paper addresses the problem of fast and accurate esti-mation of sinusoidal frequencies from nois...
Abstract-In this paper a new method for estimating PO, the fundamental frequency of voiced speech ve...
response of the frequency estimation loop and simplified its design. The estimates were unbiased and...
Fundamental frequency (fo) is often estimated based on electroglottographic (EGG) signals. Due to th...
Frequency response, and hence transfer function, estimation of systems is of vital importance in sev...
This paper proposes a robust and accurate method of estimating the fundamental frequencies (F0s) for...
This thesis addresses three aspects of frequency estimation. First, the problem of accurately estima...
This paper describes two different measuring methodology for calculating fundamental power system fr...
Precise frequency and phase estimation are important aspects of a telecommunication system. They are...
Fundamental frequency is a critical component in speech signal processing analysis. The fundamental ...
Three frequency estimation algorithms are considered and their performance evaluated against real da...
AbstractMeasurement system requires frequency to be estimated using digital signal processing techni...
Frequency estimation has been studied for a number of years.One reason for this is that the problem ...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
A new algorithm of power system frequency estimation is presented. The algorithm applies orthogonal ...
The paper addresses the problem of fast and accurate esti-mation of sinusoidal frequencies from nois...
Abstract-In this paper a new method for estimating PO, the fundamental frequency of voiced speech ve...
response of the frequency estimation loop and simplified its design. The estimates were unbiased and...
Fundamental frequency (fo) is often estimated based on electroglottographic (EGG) signals. Due to th...
Frequency response, and hence transfer function, estimation of systems is of vital importance in sev...
This paper proposes a robust and accurate method of estimating the fundamental frequencies (F0s) for...
This thesis addresses three aspects of frequency estimation. First, the problem of accurately estima...
This paper describes two different measuring methodology for calculating fundamental power system fr...
Precise frequency and phase estimation are important aspects of a telecommunication system. They are...