An adaptive equalizer of dispersive non-linear channels based on non-linear difference equation model is proposed.
提出一种基于非线性差分方程模型的弥散非线性信道自适应均衡器。
It features simplicity in calculation, higher precision in consequence compared with analytic method. It can be applied generalized to solve non-linear difference equation.
该算法与解析法相比具有计算简单、结果精度高的特点，其作图可推广到非线性微分方程的求解。
It has four conspicuous features: non-linear, maintaining individual difference, interdependence and qualitative change.
它具有非线性、语言保持个体差异、互相依赖性与质变等四个显著特征。
Numerical example demonstrates the necessity of non-linear analysis and the feasibility of the difference solution and simplified solution.
然后采用数值算例说明了进行非线性分析的必要性及本文差分方法和简化分析方法的可靠性。
Selected for use MFCC and the difference and divided the characteristic parameter as phonetic recognition, to describe the non-linear characteristic of frequency of sense of hearing of ears of people.
选用美尔倒谱系数及其差分作为语音识别的特征参数，来描述人耳的听觉频率非线性特性。
By means of the comparison theorem, and the oscillation of some non-linear partial difference equations is discussed and some concise conditions and authenticity are given.
给出系统振动的比较定理，利用比较定理讨论了一类非线性偏差分方程的振动性，给出简单的判别条件及证明。
The mathematical expression of this model is a second order non linear ordinary difference equation.
该模型的数学形式是一个非线性二阶常微分方程，利用有限差分方法进行求解。
Based on the non-linear kinematic wave method, a technique using the four point, excentric, implicit, finite-difference numerical scheme to simulate the urban storm sewer system is introduced.
本文根据非线性运动波法理论，介绍了四点非中心隐式有限差分格式模拟城市雨水管网的技术。
The present paper deals with the sufficient and necessary condition of the final positive solutions of non-linear partial-difference equations and first presents the comparison theorem.
建立关于具有连续变量非线性偏差分方程存在最终正解的充要条件。
The non-linear indices among normal, single-vessel, multi-vessel coronary artery disease patients, and diabetic patients showed markedly difference.
一些非线性参数可显示正常人、冠心病患者冠脉病变程度及糖尿病伴植物神经病变患者之间的差异。
The non-linear indices among normal, single-vessel, multi-vessel coronary artery disease patients, and diabetic patients showed markedly difference.
一些非线性参数可显示正常人、冠心病患者冠脉病变程度及糖尿病伴植物神经病变患者之间的差异。
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