Title :
Higher order neural network based noise canceller
Author :
Mishra, Agya ; Yadav, R.N. ; Trivedi, D.K.
Author_Institution :
Maulana Azad Nat. Inst. of Technol., Bhopal
Abstract :
The noise cancellation has become the essential requirement in the field of signal processing. This paper presents the noise-cancellation technique based on higher-order neural network (HONN). These network consists of an aggregation function(Generalized-mean Neuron) which is based on the generalized mean of all the inputs applied to it. The simulation results show these network can be suitably applied for the signal detection.
Keywords :
neural nets; signal denoising; signal detection; aggregation function; higher order neural network; noise canceller; noise-cancellation technique; signal detection; signal processing; Mean square error methods; Neural networks; Neurons; Noise cancellation; Noise figure; Noise generators; Signal detection; Signal generators; Signal processing; Signal processing algorithms; Higher-order neuron; Noise canceller; Noisy signals; function approximation;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555565
