kalman

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An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

说明：  利用最小总错误概率准则设计检测器的程序，计算最佳门限，研究门限在一定范围内变化时，Pe随门限变化的情况，给出Pe~ 曲线，对模拟结果进行分析。程序有注释。 (Use of design guidelines for minimizing the probability of error detection procedures, calculate the best threshold of threshold changes in a certain range, Pe threshold changes with the situation, given Pe ~ curve analysis of the simulation results. Procedure notes.)

空间电压矢量PWM控制中电机模型的设计与实现(Design and Implementation of the space voltage vector PWM control of the motor model)

用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。(Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.)

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AUTOMATIC TEMPRATURE Report

Implementation of a kalman filter

使用MATLAB实现对信号的fft变换从而进行频谱分析(The use of MATLAB to achieve transformation of the signal in order to carry out the fft spectrum analysis)

本课题主要研究当信道中的加性噪声为高斯白噪声时，对接收端数字信号的判决带来的影响。 通过实验的手段分析信道无噪声的情况时，对接收端译码译码带来的影响；通过实验的手段分析信道有噪声的情况时，对接收端译码译码带来的影响； 代码可直接运行，包括基带下的误码率仿真，频带下的仿真，以及相互间的对比。界面很好(Signal in channel transfer process, not only by the channel itself, it brought, also influenced by the additive noise, Gaussian white noise is a communication channel additive noise. The main subject of study when the additive channel noise is white Gaussian noise, the impact of digital signal on the receiving end of judgment. By means of analysis of the experimental channel without noise, the impact on the receiving end decoding decoding noisy channel decoder decoding on the receiving end, the impact by means of analysis of the experiment )