IPD

RAIM 完好性分析 (RAIM good analysis)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

A detailed study and implementation of an RPC for FMCW radar

说明：  kanl kna kioh anlhcoiai aknlkdcsalio vad

数学建模：下料问题数学建模：下料问题数学建模：下料问题数学建模：下料问题数学建模：下料问题(Mathematical modeling: automatic lathes)

simulink仿真实现全桥电路的功能，已验证，可用。支持Matlab版本(Simulink simulation to achieve full bridge circuit function, has been verified, available. Support Matlab version)

采用线性卡尔曼滤波估计阻尼简谐振荡器的速度和位置(demonstration of a Kalman filter estimating the state (position and velocity) of a damped harmonic oscillator with constant forcing.)

说明：  实现水声通信传输损耗的功能，传输损耗与频率的关系(Acoustic communication to achieve the function of transmission loss, transmission loss and frequency of the relationship between the)

cvt混合动力汽车仿真模型图，前后轮制动力分配曲线图绘制(cvt hybrid vehicle simulation model diagram, front and rear brake force distribution curve drawing)

基于MATLAB的信号采样与重构的实现,该文档是基于理论算法的研究，同时给出了较为详细的说明。(Realization of signal sampling and reconstruction based on MATLAB)