用于通讯仿真的viterbi算法完整实现方案.用途广泛.

基于遗传算法的多目标优化的例子，是工具箱中的的例子(based on genetic algorithms multi-objective optimization example, the toolkit is an example)

雷达阵列天线的方向图，有结果截图，适合于初学者(Radar array antenna pattern, with results screenshots, suitable for beginners )

运用New-Rapshon方法计算线接触常温弹流润滑程序，并绘制出压力和膜厚曲线图(Calculated using New-Rapshon EHL line contact process at room temperature, and draw out the pressure and film thickness curve)

时钟是人类发明的最古老的一个，会议需要一致的时间间隔的时间短于自然单位：一天，农历和月，和一年。在几千年的物理过程中使用的设备已被使用过。一个日晷 ； ；通过显示在一个平面上的影子的位置显示时间。有一系列的持续时间定时器，一个众所周知的例子是沙漏。水钟 ；随着日晷，可能是最古老的计时仪器。 ；

多种图像边缘检测方法研究源代码用Prewitt算子检测图像的边缘用不同σ值的LoG算子检测图像的边缘等(A variety of image edge detection method of the source code using Prewitt operator edge detection of images with different values of σ LoG operator, such as image edge detection)

说明：  ofdm的matalb仿真，用于交流学习(ofdm the matalb simulation, for the exchange of learning)

说明：  文件里是MATLAB语言常用算法程序集，包括插值、函数逼近、数值微分、数值积分、线性方程组的求解等程序(File is a MATLAB algorithm for the assembly language used, including interpolation, function approximation, numerical differentiation, numerical integration, linear equations and other procedures)

用matlab产生仿真BPSK信号，并对BPSK信号采用FFT进行频谱分析。(Simulation of BPSK signals generated by matlab, and BPSK signals using FFT spectral analysis.)

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.

matlab tutorial for signal processing part 3