The concept of structure functions, which is an extension of the variance approach, is useful to determine the variance (the structure function) which is optimized for a type of noise and for an order of drift. The multivariance method was developed to use different variances over the same sig...
The unknown noise value is generated by the noise power, the quality of service (QoS) and the signal-to-noise ratio (SNR) bound. Simulation results show that by considering both two noise values, the proposed algorithm makes an efficient reduction while the performance drops little. 展开 ...
The paper begins by summarizing accepted frequency stability measures and places these into perspective with structure functions of oscillator instability. The paper ends by showing how the rms fractional frequency deviation differs from the Allan variance; numerical examples are given. 展开 ...
NIBPs are independent of the parameter initialization strategy or the locality of the cost function. Second, NIBPs exhibit exponential decay of the gradient itself; not just of the variance of the gradient, which is the hallmark of noise-free barren plateaus. Noise-free ...
In this paper we examine empirically the predictive power of model-free option-implied variance and skewness in wheat, maize and soybeans derivative market... A Triantafyllou,G Dotsis,AH Sarris - 《Journal of Agricultural Economics》 被引量: 8发表: 2015年 Volatility Analysis of Nepalese Stock...
We show that the energy detector is near-optimal (within 1 dB SNR) when the noise variance is known. Thus, when the noise power is known, no substantial gain can be achieved by using any other detector than the energy detector. 展开 ...
For effective noise removal prior to video processing, noise power or noise variance of an input video sequence needs to be found exactly, but it is actually a very difficult process. This paper presents an accurate noise variance estimation algorithm based on motion compensation between two adjacen...
variance = 1/(Ts*(10^(SNRdb/10))); W = sqrt(variance).*randn(1,size(Xmodt,2)); %Gaussian white noise W Xmodt = Xmodt + W; %Add the noise I know that in this example variance equals to 1, but I need to find a general solution. So, is this code co...
Application example: modeling the random signal errors of a gyroscope (Allan variance of synthetic noise) Installation Dependencies NumPy ≥ 1.17 (see NEP 19) SciPy ≥ 1.3 Installing from PyPI pip install pyplnoise Installing directly from GitHub Download the release tarball and run python setup.py...
If no noteworthy variance is found, we can conclude that results can be generalized to the whole of Italy. Following this, another Mann–Whitney test was performed between overall Italian and International surveys, in order to extend results to a global context. Furthermore, CART Decision Trees...