ruili

著名的开源仿真软件yale，功能与matlab完全有得比(Well-known open source simulation software yale, function and matlab completely than has)

利用Matlab软件编程实现DDS（直接数字频率合成技术）。设时钟的频率为固定值f_C，在CLK的作用下，如果按照0000,0001,0010，…，1111的地址顺序读出ROM中的数据，即表1中的幅值编码，其正弦信号频率为f_01；如果每隔一个地址读一次数据（即按0000,0001,0100，…，1110顺序），其输出信号频率为f_02，且f_02将比f_01提高一倍，即f_02=2f_01；其余类推。这样，就可以实现直接数字频率合成器的输出频率的调节。(Matlab software programming DDS (direct digital frequency synthesis). Clock frequency set to a fixed value f_C, under the effect of CLK, according to 0000,, ..., 1111 of the sequence of addresses in the ROM reads the data, i.e., the amplitude of the encoding in Table 1, the frequency of the sinusoidal signal f_01 if every time a read address data (ie 0000,0001,0100, ..., the order of 1110), the output signal frequency is f_02, and f_02 f_01 than doubled, i.e. f_02 = 2f_01 rest on. This allows direct digital frequency synthesizer output frequency regulation.)

现代通信信号在matlab中的实现以应用程序(good )

数字图像处理和机器识别C++和matlab识别书籍第一部分，讲解详尽，适合学习(Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning)

基于均方误差参数比较OFDM系统中LS和MMSE两种自适应信道估计算法的性能，程序开头都有英文注释，可以直接运行的~个人认为写得比较好，跟大家一起分享~(Based on the Mean Square Error Comparison of OFDM system parameters LS and MMSE channel estimation of two adaptive algorithms, procedures are available in English at the beginning of the Notes, you can directly run the ~ personally think that is better written, with the U.S. to share ~)

说明：  免疫算法和遗传算法的结合，非常不错，希望对大家有用。(Immune algorithm and genetic algorithm combination, very good, and I hope useful.)

说明：  原创_平面圆阵的多目标分类（music）算法(original_ Planar circular array for multi-objective classification (MUSIC) algorithm)

Antenna can also be termed as an Aerial. Plural of it is, antennae or antennas. Now-adays, antennas have undergone many changes, in accordance with their size and shape. There are many types of antennas depending upon their wide variety of applications.

时变参数的粒子群优化的matlab实现，可用于解决多种连续优化问题(A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of the algorithm performance during the search is also enabled. )

this about the dynamic voltage restorer