proj03_04

Windowing, FIR filters

数字图像处理及MATLAB实现（余成波）.pdf(Digital image processing and MATLAB to achieve (Yu-bo). Pdf)

《MATLAB语言在建筑抗震工程中的应用》侧重于介绍MATLAB语言在建筑结构抗震工程中的实际应用,涉及科学计算、动态仿真、图形处理、神经网络和模糊控制。(Application of MATLAB language in the earthquake engineering in the focused on the practical application of the MATLAB language in the earthquake resistance of engineering structures, involving scientific calculation, dynamic simulation, image processing, neural network and fuzzy control.)

TabActivity实现多页面切换,经典的底部导航栏功能(TabActivity demo)

小世界优化算法MATLAB源程序，因为保存的问题需要修改一下开头和结尾(Small-world optimization algorithm MATLAB source code, because the preservation of the problem need to change it at the beginning and end of)

matlab字鱼香处理数字图像处理 ，边缘检测源代码，数鱼香处理数字图像处(matlab)

粒子滤波案例，结构有待改进,希望大家提点意见谢谢(the particle filtering method which needs to be modified by others)

Curve Fitting with MATLAB

书号的识别程序，带有相应的图解。可以作为识别的参考程序。(ISBN identification procedures, with the corresponding illustrations. Identification procedure can be used as a reference.)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.