spra702

用MATLAB语言实现模糊控制算法，在300s处施加了一个干扰，运行结果理想(MATLAB language fuzzy control algorithm, applied in the 300s at a disturbance, the results satisfactory)

matlab code for morlet transform

HI MATLAB DECODE FILE

：随着无线技术的飞速发展，频谱缺乏已经成为一个非常严重的问题．感知无线电技术能有效解 决频谱紧张的现状．介绍了感知无线电概念及其内涵，然后介绍了检测频谱空穴的方法．为提高检测概率、 降低设备复杂度及计算复杂度，将UWB与感知无线电结合，提出了基于能量检测及用户合作（EDAUC）的 协作感知方法．仿真和分析表明：该方法能有效提高检测频谱空穴的概率．(: With the rapid development of wireless technology, the lack of spectrum has become a very serious problem. Cognitive radio technology can effectively solve the spectrum tense situation. Introduced the concept of cognitive radio and its content, and then introduces the method of detection of spectrum holes. To improve the detection probability and reduces the complexity and computational complexity, the combination of UWB and cognitive radio is proposed based on energy detection and user cooperation (EDAUC) the cooperative sensing methods. Simulation and analysis: This method can improve the probability of detection of spectrum holes.)

改进的自适应遗传算法与BP算法结合算法的整套算法及子程序(Improved adaptive genetic algorithm combined with BP algorithm algorithm set of algorithms and subroutines)

DTW与MFCC相结合的语音特征提取算法，改进了MFCC的性能(Combination of DTW and the MFCC feature extraction algorithm for voice, improving the performance of MFCC)

产生GPS的C/A码。主函数模块为gen_ca.m 调用gen_ca(m,n)即可产生以（m,n）为抽头系数的CA码(GPS-generated C/A code. Main function modules for gen_ca.m call gen_ca (m, n) can be generated by (m, n) for the tap coefficient of CA Code)

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第4章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 4)

《MATLAB7.0从入门到精通》对MATLAB 7.0进行了详细的介绍，力求做到细致全面。全书共分为15章。前5章是有关MATLAB的基础知识，包括MATLAB的安装、卸载及系统功能的简述，MATLAB的数学运算和数据可视化工具以及MATLAB的编程等内容。第6章～第9章是MATLAB的高级应用部分，分别介绍了MATLAB 7.0的数据分析和处理功能，符号计算功能，Simulink仿真环境和文件I/O操作。第10章～第12章和第14章介绍了信号处理工具箱、图像处理工具箱和编译工具箱以及应用广泛的高级图形设计。第13章、第15章介绍了MATLAB的外围功能，包括与Word、Excel的混合使用和MATLAB的应用程序接口。附录部分列出了常用命令和函数，Simulink的库模块和应用程序接口函数库。( MATLAB7.0 entry to the proficient on MATLAB 7.0 for a detailed description, and strive to achieve a comprehensive and detailed. The book is divided into 15 chapters. The first five chapters are on MATLAB basics, including MATLAB installation, uninstallation and brief system functions, MATLAB math and data visualization tools, and MATLAB programming and other content. Chapter 6- Chapter 9 is an advanced application part of MATLAB, introduced the data analysis and processing functions in MATLAB 7.0, symbolic computation capabilities, Simulink simulation environment, and file I/O operations. Chapter 10 ~ 12 Chapter 14 describes the Signal Processing Toolbox, Image Processing Toolbox and compilation toolkit and widely senior graphic design. Chapter 13, Chapter 15 describes the peripheral functions of MATLAB, including Word, Excel, and MATLAB mixed use application interface. The appendix lists the common commands and functions, Simulink library modules and application program interface l)

粒子群优化算法pso优化支持向量机svm(Particle swarm optimization algorithm pso optimization support vector machine svm)