The iteration form of the super-exponential (SEI) algorithm, which was proposed by Shalvi and Weinstein, converges fast, but its residue MSE is large when used for higher-order quadrature amplitude modulation (QAM) signals. 超指数迭代盲均衡算法收敛速度快,但是,该算法对高阶QAM信号具有较大的剩余...
Super-exponential condensationSelf-similar setsHausdorff dimensionWe exhibit self-similar sets on the line which are not exponentially separated and do not generate any exact overlaps. Our result shows that the exponential separation, introduced by Hochman in his groundbreaking theorem on the dimension ...
Just when you caught your breath, a new era is emerging—one that transcends the familiar bounds of exponential growth to venture into the breathless territories of super-exponential acceleration. This seismic shift is largely propelled by the profound and relentless force ofartificial intelligence(AI)...
We introduce a model of super-exponential financial bubbles with two assets (risky and risk-free), in which rational investors and noise traders co-exist. Rational investors form expectations on the return and risk of a risky asset and maximize their constant relative risk aversion expected utility...
The basic idea of the super-exponential algorithm is to de- termine the equalizer at iteration step such that the overall impulse response becomes (8) (9) where the th element of is given by (10) with . It has been shown in [2] that such an ...
The new solution combines super-exponential algorithm with carrier frequency-offset estimation for time-varying channels. The time-varying channel taps described by the complex exponential basis expansion model (CE-BEM) are expressed as a superposition of time-varying complex exponential bases with time...
super-exponentialdecision feedbackvariable step-sizephase rotationdigital phase-locked loopunderwateracoustic channelA novel variable step-size modified super-exponen-tial iteration (MSEI) decision feedback blind equalization (DFE)algorithm with second-order digital phase-locked loop is put for-ward to im...
At higher forces, however, the increase of the unfolding rate with the force becomes faster than exponential, which may indicate anti-Hammond behavior where the structures of the folded and transition states become more different as their free energies become more similar. Such behavior is rarely ...
In order to overcome the slow convergence rate and larger mean square error of feed-forward neural network (FNN) blind equalization algorithm, a feed-forward neural network blind equalization algorithm based on super-exponential iterative (SEI) is proposed, on basis of the futures of super-exponent...
4. Superexponential Growth (J-curves) If you think long-term exponential growth is interesting and disruptive, there’s another kind of growth that is even more curious and potentially disruptive. That is faster-than-exponential (superexponential) growth. Unlike exponential growth, where the curve...