HOSA

kalman滤波器的使用，对于学习kalman有很大的帮助。(kalman filter)

Road vehicles — Modular vehicle communication interface

基于混沌理论构建的信号检测系统具有敏感微弱周期信号和对噪声有强免疫力的特点,用于微弱信号检测领 域优势明显。实验室内研究需要产生包括混沌噪声在内的各种噪声,并叠加微弱周期信号作为微弱信号检测系统的信号 源。介绍一种基于LabVIEW平台并结合Matlab计算模块的混沌噪声发生器,可产生典型的3种混沌噪声:Logistic,Duff2 ing,Lorenz形式。该发生器将LabV IEW易于接口实现和Matlab计算精度高、编程简捷的特点相结合,具有结构清晰、通用 性强、易于实现、使用方便的特点。 (Built based on chaos theory, sensitive signal detection system with weak periodic signal and has a strong immunity to noise characteristics of the area for weak signal detection have obvious advantages. Laboratory studies need to generate, including noise, chaos, including a variety of noise and superimposed weak periodic signal as a weak signal detection system, signal source. Introduction of a platform based on LabVIEW and Matlab calculation module with the chaotic noise generator can produce the typical three kinds of chaotic noise: Logistic, Duff2 ing, Lorenz form. The generator will be LabV IEW easy interface, and Matlab calculation of high accuracy, simple programming features combined with a clear structure and versatility, easy to implement, easy to use features.)

有关三维点云数据的配准程序，使用matlab编写的(For three-dimensional point cloud data registration procedures, matlab prepared using)

这里面包含了几乎全部的SIMULINK在通信仿真中所要用到的命令(That which contains almost all of the SIMULINK simulation in communications to use in order)

本人用matlab编写的rels(最小二乘法），rls(递推增广最小二乘法),riv(辅助变量法递推算法)的程序，都是2阶的，稍改动就可以变成其它阶次(I use matlab prepared rels (least squares), rls (augmented recursive least squares method), riv (auxiliary variable method recursive algorithm) procedure, are 2 bands, a little change can be turned into other order)

Matlab优化工具箱的几个函数调用例题(Matlab Optimization Toolbox, a few Examples)

语音仿真程序，生成房间的冲击响应，方法为Image方法，程序简单可用。(Voice simulation program to generate the room impulse response, methods for the Image methods, procedures can be simple.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

I simulate a very simple interfrogram