Adaptive whitening of the electromyogram to improve amplitude estimation

2000 ◽  
Vol 47 (6) ◽  
pp. 709-719 ◽  
Author(s):  
E.A. Clancy ◽  
K.A. Farry
Keyword(s):  
2017 ◽  
Vol 141 (3) ◽  
pp. 2243-2255 ◽  
Author(s):  
Julien Bonnel ◽  
Salvatore Caporale ◽  
Aaron Thode

Quantum ◽  
2020 ◽  
Vol 4 ◽  
pp. 291 ◽  
Author(s):  
Nikitas Stamatopoulos ◽  
Daniel J. Egger ◽  
Yue Sun ◽  
Christa Zoufal ◽  
Raban Iten ◽  
...  

We present a methodology to price options and portfolios of options on a gate-based quantum computer using amplitude estimation, an algorithm which provides a quadratic speedup compared to classical Monte Carlo methods. The options that we cover include vanilla options, multi-asset options and path-dependent options such as barrier options. We put an emphasis on the implementation of the quantum circuits required to build the input states and operators needed by amplitude estimation to price the different option types. Additionally, we show simulation results to highlight how the circuits that we implement price the different option contracts. Finally, we examine the performance of option pricing circuits on quantum hardware using the IBM Q Tokyo quantum device. We employ a simple, yet effective, error mitigation scheme that allows us to significantly reduce the errors arising from noisy two-qubit gates.


Author(s):  
Hairong Jia ◽  
Weimei Wang ◽  
Dong Wang ◽  
Xueying Zhang

Aiming at the problem of auditory negative enhancement of typical phase reconstruction method, an improved method of phase reconstruction and MMSE-LSA estimation is proposed. First, the geometric relationship between noisy speech and clean speech in unvoiced segment is used to estimate the phase of the clean speech; Second, considering the randomness of speech appearance in the actual noise environment, a modified MMSE-LSA amplitude estimation is proposed by using the binary hypothesis model. Finally, the new phase reconstruction in voiced and unvoiced speech is combined with the modified MMSE-LSA. The simulation results show that the performance of the algorithm proposed in this paper is better than typical phase reconstruction method in terms of the SegSNR and PESQ.


1993 ◽  
Vol 42 (5) ◽  
pp. 926-931 ◽  
Author(s):  
C.S. Koukourlis ◽  
V.K. Trigonidis ◽  
J.N. Sahalos

Author(s):  
Masayuki KATO ◽  
Katsuhiro HIRATA ◽  
Yasuyoshi ASAI ◽  
Takamichi YOSHIMOTO

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