Add to ORKGWe address the problem of decomposing a handpass signal into amplitude arid frequency modulated components (AM and FM respectively). Several estimators have been pro posed in literature. each of which works under specific assumptions. In this paper, we perform a comparative study of some popular techniques hy studying their performance with changes in the modulation parameters and the tradeoffs involved. We also study their performance in the presence of handpass white Gaussian noise
Frequency Domain Linear Prediction (FDLP) represents an effi-cient technique for representing the lo...
The optimum performance is determined for amplitude-phase correlation FM demodulators which exploit ...
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and ...
We address the problem of decomposing a handpass signal into amplitude arid frequency modulated comp...
Non-stationary signal modeling is a well addressed problem in the literature. Many methods have be...
The paper addresses the problem of estimation of amplitude envelope and instantaneous frequency of a...
Due to its simplicity and accuracy, quadratic peak interpolation in a zero-padded Fast Fourier Trans...
We present a new zero-crossing based algorithm for decomposing a bandpass signal into the amplitude ...
We present a new zero-crossing based algorithm for decomposing a bandpass signal into the amplitude ...
We present an analysis for evaluating the probability density function (pdf) of the noise at the out...
Abstract—The problem of joint estimation of power spectrum and modulation from realizations of frequ...
In this paper, we address the problem of estimating the in-stantaneous frequency (IF) of an FM modul...
The optimum performance is determined for amplitude-phase correlation FM demodulators which exploit ...
Modulation and demodulation hold dominant positions in communication. Communication quality heavily ...
Modulation and demodulation hold dominant positions in communication. Communication quality heavily ...
Frequency Domain Linear Prediction (FDLP) represents an effi-cient technique for representing the lo...
The optimum performance is determined for amplitude-phase correlation FM demodulators which exploit ...
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and ...
We address the problem of decomposing a handpass signal into amplitude arid frequency modulated comp...
Non-stationary signal modeling is a well addressed problem in the literature. Many methods have be...
The paper addresses the problem of estimation of amplitude envelope and instantaneous frequency of a...
Due to its simplicity and accuracy, quadratic peak interpolation in a zero-padded Fast Fourier Trans...
We present a new zero-crossing based algorithm for decomposing a bandpass signal into the amplitude ...
We present a new zero-crossing based algorithm for decomposing a bandpass signal into the amplitude ...
We present an analysis for evaluating the probability density function (pdf) of the noise at the out...
Abstract—The problem of joint estimation of power spectrum and modulation from realizations of frequ...
In this paper, we address the problem of estimating the in-stantaneous frequency (IF) of an FM modul...
The optimum performance is determined for amplitude-phase correlation FM demodulators which exploit ...
Modulation and demodulation hold dominant positions in communication. Communication quality heavily ...
Modulation and demodulation hold dominant positions in communication. Communication quality heavily ...
Frequency Domain Linear Prediction (FDLP) represents an effi-cient technique for representing the lo...
The optimum performance is determined for amplitude-phase correlation FM demodulators which exploit ...
Several studies have been dedicated to the analysis and modeling of AM–FM modulations in speech and ...