stochastic signal

Objective To study the stochastic resonance phenomenon in biological sensory systems through signal detection theories and psychophysical experiments.

目的通过信号检测理论和心理物理学实验来研究人体感觉系统中噪声增强感觉的现象。

The Polarization of Reflected Light and Refracted Light and the Amount of the Polarization; Effects of time period modulation of the noise correlation intensity and bias signal modulation of the noise on stochastic resonance of a single-mode laser

反射光及折射光的偏振状态和偏振度偏置信号调制下噪声关联的周期调制对单模激光随机共振的影响

Modeling and analysis of a kind of stochastic signal transfer systems with Gauss white noise

一类带Gauss白噪声的随机信号传递系统的优化建模与系统分析

Yet the theory of stochastic resonance ( SR) provides a new way for weak signal detection.

随机共振理论的提出，为微弱信号检测提供了新的途径。

The first task of applying deterministic chaos theory to studying the dynamics of fluidized bed from the time series of pressure fluctuation is the computation of delay time of reconstructed phase space. This paper studies the influence of periodic and stochastic signal on the computation.

应用混沌理论从流化床压力波动时间序列来研究流化床动力学行为的首要任务就是确定重构相空间滞时。

In the case of the noises modulated by the bias signal, the stochastic resonance of a single-mode laser driven by two colored noises with time period modulation correlation intensity is investigated.

在噪声受偏置信号调制的情况下，讨论色噪声之间的关联受时间周期调制所驱动的单模激光系统中的随机共振。

It is proved that stochastic resonance useful tool for weak signal extraction from strong noise.

实验证明了随机共振技术在强噪声背景下弱信号检测的优越性.

We can see the ample chaotic information in Chinese speech, and Chinese speech is a non-linear system between deterministic periodic signal and indeterministic stochastic signal.

可以看到汉语语音中蕴涵着丰富的混沌学信息，是介于周期性确定信号和随机性不确定信号之间的一种信号。

We study numerically the effect of signal modulating noise in bistable stochastic dynamical systems.

用数值方法研究了双稳随机动力系统的信号调制噪声效应.

As a statistics model, Hidden Markov Model ( HMM) have been widely used in pattern recognition and stochastic signal processing.

隐马尔科夫模型（Hidden Markov model，简记为HMM）作为一种统计模型，在模式识别与随机信号处理中有着广泛的应用。

A sell signal occurs when the Stochastic Oscillator rises above and then declines below that level.

出售的信号时发生随机子80%以上的上升,然后拒绝低于该级别.

In this dissertation, algorithms of signal estimation for a class of nonlinear discrete stochastic systems with multiplicative noise have been studied, which have important background of application.

本文从理论上研究了一类有重要应用背景的带乘性噪声非线性离散随机系统的信号估计算法。