ber

模式分类（中文版），课后题，164页第2题，MATLAB源程序(Pattern Classification (Chinese version), after-school question, 164 2 title, MATLAB source code)

Why use C/C++ with Matlab? • Matlab can be slow • C++ can be fast – How can we integrate C++’s speed with Matlab’s convenience? Matlab’s convenience? • Goal: -Implement critical functions with (fast) C++ code, and use (slow) Matlab code for data structure management (which can be difficult/annoying in C++)

This project deals with modeling and simulation technique of a Dynamic Voltage Restore (DVR).The DVR is a dynamic solution for protection of critical loads from voltage sags / swells. The DVR restores constant load voltage and voltage wave form by injecting an appropriate voltage. Present novel structure improves power quality by compensating voltage sag and voltage swells. The transient response of any natural system is the way in which the response of the system behaves as a function of time. Electromagnetic transient studies have always played an essential behavior of the system in the event of different forms of transient phenomena, which can hardly be achieved by other means. This project addresses the transient studies of electrical networks with embedded, power electronics-based, FACTS and Custom Power (CP) controllers.

说明：  HOG特征提取在进行SVM行人检测，经典算法(HOG feature extraction in SVM pedestrian detection, classical algorithm)

Essential MATLAB for Engineers and Scientists - 3ed. Brian D. Hahn, Daniel T. Valentine 2007

MIPI Interface Introduction

实现维纳滤波的功能。包括时域和频域的实现。需要实现维纳滤波的可以参考。(Implement of Wiener Filter)

Matlab中三相交-交变频器的仿真,利用SPWM调制实现开关管的动作(the simulantion model of three-phase ac-ac converter )

在数字通信系统中，滤波器是其中重要部件之一， 滤波器特性的选择直接影响数字信号的恢复。在数字信号接收中， 滤波器的作用有两个方面，第一是使滤波器输出有用信号成分尽可能强；第二是抑制信号带外噪声，使滤波器输出噪声成分尽可能小，减小噪声对信号判决的影响。 (In digital communication system, the filter is one of the important components of the filter characteristics of the choice of a direct impact on digital signal recovery. In the digital signal receiver, the filter s role is twofold, first is to filter the output useful signal components strong as possible the second is the signal-band noise suppression, so that filter output noise components as small as possible, reducing the noise on the signal the impact of decision.)

This source code shows the implementation of two codes C1(gray) and C2(other). The error rates(theorical and practical) are shown in figures for both codes (depending on the noise density) The two code are MDA-4.(codage in 2 bits)