MicroWind2

fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms；用脉冲响应不变法设计一Butterworth数字低通滤波器，观察所设计数字滤波器的幅频特性曲线，记录带宽和衰减量，检查是否满足要求。(fp=0.2KHz,Rp=1dB, fs=0.3KHz,As=25dB,T=1ms；The same method to design a digital low-pass Butterworth filter, observe the design of digital filter frequency characteristic curve, recording the amount of bandwidth and attenuation, check with the impulse response meets the requirements.)

matlab一个入门级ppt，希望有用！ (matlab an entry-level ppt, hope useful!)

说明：  基于Matlab的数字滤波器设计及其在捷联惯导系统中的应用(Digital Filter Design Based on Matlab and its sins of)

在电力系统中，计算整个网络的网损的程序。(In the power system, calculation of network network loss procedures. )

单相三电平SPWM瞬时电流调制，版本MATLAB7.0，效果好，附有不同负载下的切换运行功能(single phase three level SPWM control with different load)

programs used with matlab toolbox

说明：  很好用的小波分解程序，简单，实用，对初学者很有帮助。(Nice wavelet decomposition program, for beginners helpful.)

滤波器的设计，无限冲激响应数字滤波器设计(Something about the desire of filter)

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

Filename: target_core_device.c (based on iscsi_target_device.c).