We propose a general framework for quantum error mitigation that combines and generalizes two techniques: probabilistic cancellation (PEC) zero-noise extrapolation (ZNE). Similar to PEC, the proposed method represents ideal operations as linear combinations of noisy are implementable on hardware. However, instead assuming fixed level hardware noise, we extend set by noise scaling. By constructi...

A broadband input matching technique for low noise amplifiers (LNAs) is presented which exploits an active feedback network to achieve better noise performance. The presented matching scheme is compared to the common-gate and conventional noise canceling structures. The noise performance of the presented technique is similar to that of the conventional noise canceling technique with much less p...

A novel algorithm for use in stereophonic acoustic echo cancellation is introduced. The alternating fixed-point structure of the algorithm descends each of the channels alternatively and avoids nonuniqueness in the solutions by employing interand intra-channel orthogonal projections. For a noisy environment, the algorithm is shown to provide improved misalignment performance and echo cancellati...

Radio fuze needs to detect exactly target signal from the echo signal being polluted by noise in real time. Traditional interference cancellation system cannot meet the needs. The Hopfield neural network not only has the ability of nonlinear mapping but also has the ability of selflearning. So it can be used to possess a desired result against the effect of uncertainties and incomplete informat...

Adaptive filter is a primary method to filter ECG signal, because it does not need the signal statistical characteristics. In this project we present a novel adaptive filter for removing the artifacts from ECG signals based on Constrained Stability Least Mean Square (CSLMS) algorithm .The adaptive filter essentially minimizes the mean-squared error between a primary input, which is the noisy EC...