Application of the Wigner distribution to the detection of late potentials in ECG

Peyrin, Françoise; Karoubi, Bruno; Morlet, Dominique; Dupont, Florent; Rubel, P.; Desseigne, P.; Touboul, P

doi:10.1117/12.130947

Cited by 4 publications

(1 citation statement)

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“…If s(t) is the transmitted signal and is given by where u(t) is the complex low pass signal, then received signal r(t) in a multipath channel is given by (3) where is the carrier frequency, N is the total number of received paths and and are the amplitude and time delay of n th path.…”

Section: B Signal Model In Multipath Fading Channelmentioning

confidence: 99%

Performance Analysis of Automatic Modulation Classification using Time Frequency Transforms under Non-Ideal Channel Conditions

Subbarao*¹,

Samundiswary²

2019

IJITEE

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Classification of different analog and digital modulation classes using Time-Frequency Transforms (TFTs) through MST and MFSWT under ideal channel conditions is presented in this paper. It also deals with performance analysis of proposed Modified S- Transform (MST) and Modified Frequency Slice Wavelet Transform (MFSWT) based Automatic Modulation Classification (AMC) methods under different channel conditions such as Gaussian and fading channels. The performance of the proposed TFT based AMC methods under AWGN (with SNR values varied from -10 dB to 20 dB) and fading channels is examined through simulation. Moreover, the performance of the proposed TFT based AMC is compared with that of the existing techniques in terms of performance metric namely classification accuracy which is also discussed in this paper.

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Section: B Signal Model In Multipath Fading Channelmentioning

confidence: 99%