Scm_code

遗传算法基本理论 经典应用实例 演化程序——遗传算法和数据编码的结合(The basic theory of classical genetic algorithm application examples Evolution process, genetic algorithm and data coding)

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.

对正选信号进行仿真，并分别通过时域和频域对其延迟，对比延迟效果(A signal being selected for simulation, respectively, through the effect of the time and frequency domains its delay, Comparative delay)

一个粒子群算法实例，介绍粒子群算法的编程技巧(A particle swarm algorithm instance, introduced particle swarm algorithm programming skills)

该文档一步步的描述如何将matlab源程序打包成可执行exe文件。(This document describes step by step how to make matlab source packaged into an executable exe file.)

说明：  扩频通信中的两大常见扩频方式，直接序列扩频和跳频(Direct sequence spread spectrum and frequency hopping are two common spread spectrum methods in spread spectrum communication)

有关血氧测量算法的算法实现，分别用C语言和Matlab语言(youguan xueyang celiang suanfa de suanfa shixian fen bie yong C and Matlab)

基于MATLAB的QPSK调制解调性能仿真，用simulink仿真QPSK结构。(Based on MATLAB QPSK demodulation performance simulation, using simulink QPSK structure.)

this metal detector full project (pulse induction)

In order to capture the spatial dependence of gray-level values which contribute to the perception of texture, a 2d dependence matrix known as a gray-level co-occurrence matrix is extensively used in texture analysis.So, this is a code that calculate a co-occurrence matrix of the image and return the following features: ENERGY, CONTRAST, CORRELATION and HOMOGENEITY.