2) binomial prediction model
二项式预测模型
3) polynomial prediction
多项式预测
1.
A novel decision feedback differential detection based on the polynomial prediction (PP-DFDD) to improve the performance of Turbo product coded M-ary DPSK (TPC-MDPSK) in flat Rayleigh-fading channels is proposed.
本文提出一种基于多项式预测的判决反馈差分检测(PP-DFDD)来改善平坦 Rayleigh 衰落信道中 Turbo 乘积编码多元 DPSK 系统(TPC-MDPSK)性能的新方法。
2.
A novel state model of unknown signal-polynomial prediction model(PPM) and its optimal filtering algorithm are proposed in this paper.
提出了一种新的未知信号状态模型——多项式预测模型,并给出其滤波算法。
3.
Based on a constant acceleration motion law represented by a polynomial,this article proposes a novel dynamic model of maneuver target—polynomial prediction model(PPM) and its optimal filtering algorithm by means of modeling the target state by a polynomial prediction filter.
根据匀变速运动的多项式描述形式,利用多项式预测滤波器对目标状态建模,提出了一种全新机动目标运动的动态模型——多项式预测模型,并针对这个全新的模型给出了相应的最优滤波算法。
4) multinomial model
多项式模型
1.
At first,risk-neutral probabilities of option pricing were obtained which with asymmetrical multinomial model of two assets,then the American option price of two assets were gotten,which volatility followed Markov process.
通过二元离散随机变量对连续随机变量的逼近,首先获得了两资产非对称多项式模型期权定价的风险中性概率,然后给出了两资产波动率都服从Markov过程的美式期权定价结果,改进了对称多项式模型风险中性概率和单资产美式期权定价的结果。
5) polynomial model
多项式模型
1.
OFDM blind channel estimation based on polynomial models;
基于多项式模型的OFDM信道盲估计(英文)
2.
To improve the precision of short stroke control in hot mill, the broken line model is converted into the slick curve model,a polynomial model and a RBF neural network model are studied,which have been simulated and applied to online controlling.
为提高热轧带钢短行程控制精度 ,将折线模型改进为光滑模型 ,研究了短行程控制的多项式模型和RBF神经网络模型 ,进行了仿真分析 ,并投入现场使
3.
Using the polynomial model as the dynamics model of magneto-rheological damper,the bad effect of the damping force jump with the "on-off" semi-active control on vibration acceleration of vehicle sprung mass is investigated.
用多项式模型作为磁流变减振器的力学模型,研究了传统"开-关"型半主动控制的阻尼力跳跃对汽车簧载质量振动加速度产生的不利影响,针对1/2汽车模型对具有磁流变减振器的汽车悬架简单模糊和自适应模糊神经半主动控制策略进行了数值仿真,基于数值仿真结果分析了各控制策略的效果。
6) polynomial FIR predictors
多项式预测滤波
1.
Identification of sensor s dynamic characteristic based on denoising by polynomial FIR predictors;
用多项式预测滤波消噪的传感器动态特性辨识
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。