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均方误差。 The iteration form of the super-exponential (SEI) algorithm, which was proposed by Shalvi and Weinstein, c...
We construct and explore the properties of a generalization of hyperbolic and trigonometric functions we call superexponentials. The generalization is based on the characteristic second-order differential equations (DE) these functions satisfy, and leads to functions satisfying analogous math order ...
The true essence of stacked AI innovation lies in its exponential multiplier effect. Each layer of learning and adaptation does not merely add to the AI's capabilities; it magnifies them, enabling quantum leaps in understanding and application. This signifies a fundamental shift in our approach to...
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...
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...
The approach provides an super-exponential convergence rate as $m o \\infty$. The eigenpairs can be computed in parallel for all given indexes. The algorithm is based on some recurrence procedures including the basic arithmetical operations with the coefficients of some expansions only. This is ...
Exponential Backoff Retry. Supercrawler will retry failed requests after 1 hour, then 2 hours, then 4 hours, etc. To use this feature, you must use the database-backed or Redis-backed crawl queue. Hostname Balancing. Supercrawler will fairly split requests between different hostnames. To us...
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This paper presents a method to solve this problem by applying a maximal inequality to a suitable constructed supermartingale. For a network with D/M input, end-to-end backlog bounds obtained with this method improve existing results at low utilizations. For the same network, it is shown ...
Super-quadratic enhancement or exponential gain for XUV generationSeres, JSeres, EEcker, BHochhaus, DZimmer, DBagnoud, VAurand, BZielbauer, BSpielmann, C