star_move

说明：  卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值，他是用状态方程和递推的方法进行估计，本例用来追踪一个5阶的FIR不确定的滤波器系数。(Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation methods, in this case is used to track a 5-order FIR filter coefficients of uncertainty.)

spring-mass-dampper simulation with mtlab simulink and C++

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

在matlab/simulink环境下开发的基于光流法的车辆检测器应用程序。(Vehicle detector applications based on optical flow method developed in the matlab/simulink environment.)

Dijkstra最短路算法实现：求任意两点间的最短路；任一点到其它各点的最短路(Dijkstra shortest path algorithm)

this source code is gm2lc matlab

matlab code for Circle fit

着重介绍了OFDM 系统 中的峰值平均功率比（PAR）问题，给出了峰值平均功率比的定义以及高PAR 产 生的原因和它带来的问题，并且分析了OFDM 系统内PAR 的分布，最后对国内 外各种降低PAPR 的方法进行了简单介绍。(Focuses on the OFDM system The peak to average power ratio (PAR), and gives the definition of peak to average power ratio and high PAR production Health reasons and problems it brings, and the analysis of the distribution of the PAR of OFDM system, the last of the domestic A variety of methods to reduce PAPR outside a brief introduction.)

matlab coding for Background sub

说明：  最近看到有人提问怎样用FFT实现频谱分析，我认为能够进行到频谱分析的人，对于系统研究的深度基本上已经相当不错了。本人今天做了一个例程，发给大家参考一下。 历程主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(The question was asked recently to see the realization of how to use FFT spectral analysis, I think that spectral analysis can be carried out to those who study the depth of the system basically is already quite good. Today I made a routine, distributed to Members for reference. The main contents of the course (signal_analyzer.rar) are as follows: test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as a system output signal. signal_analyzer.m first test1.txt data read into workspace, and then proceed to FFT, analysis of the two signal frequency, output amplitude for input attenuation (db), the output of the input phase difference.)