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This paper presents the theoretical principles and the measurement results of a fully integrated Ku-band coupled Voltage Controlled Oscillator (VCO) with very low phase noise, implemented in the QUBiC4X 0.25 μm SiGe C BiCMOS process of NXP semiconductors.
NEMo assumes that every stimulus is encoded with some amount of noise, implemented by a zero-mean Gaussian with standard deviation σ.
To establish a stochastic model with sources of both intrinsic and extrinsic noises, we employ the stochastic model with intrinsic noise, implemented by modified Gillespie SSA method as described above, while generating random abundances of CC protein and/or IAP protein.
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We begin by considering first-order filters for dephasing noise implementing target single-qubit rotations.
Maximum instrument sensitivity for detecting near-transparent particles is achieved by automatically optimizing threshold values, using low-noise electronics, implementing noise reduction algorithms, and compensating for all possible non-uniformities in spatial and pulse-to-pulse illumination.
The ANC system for impulsive noise is implemented using the MATLAB platform.
The cantilever spring constants were determined with the thermal noise method implemented in the Veeco software and were assumed to have a 5% error [33].
The noise is implemented as discretized Brownian motion.
In the proposed approach, the de-noising is implemented by soft thresholding the transform coefficients in each subband.
In Sections 6-9 we apply the above framework to derive several novel families of noise filters implementing nontrivial logic gates.
The new computationally efficient algorithm is developed here based on tracking significant frequencies of the noise and implementing MNADF at those frequencies.
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