convolution_codes_BPSK_OFDM

2014研究生数学建模B题，包括说明问题以及相应的数据(Mathematical Modeling 2014 graduate B title)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

mesuremant of the temperature

信号测量时，传感器优化布置的条件数方法。提供自由度信息，输出不同数量传感器的最优布置方案。(signal measurement, the sensor layout optimization of several methods. Provide freedom of information, the number of different sensor output optimal layout of the program.)

Space Time Trellis Coding simulation It verifies the BER performace of STTC.

computing zeros of functions and then combines three of the basic methods into a fast,

这段程序是用来实现最优控制的，一段是关于倒立摆系统的，还有一个是一本书上的例题。比较适合初学者。(This procedure is used to achieve optimal control, a section is about the inverted pendulum system, there is a example on a book. More suitable for beginners.)

matlab 课程实习 第六章 答案 附源码(Chapter Answers with source matlab internship programs)

说明：  基于matlab简单图像处理系统中对图片进行增强对比度的处理(Based on a simple matlab image processing system to enhance the contrast of the picture processing)

BP辨识，，，，，，，，，，，，，，，，，，，，，(bp identify，，，，，，，，，，，，，，，，， )