Generate-a-pseudo-noise

Simulink model of a 1.5 MW wind turbine with direct-driven permanent magnet generator

Matlab code for bacterial foraging

图像的哈弗曼编码matlab实现，实现图像的无损压缩(Matlab coding huffman images achieved)

编程产生一组随机的0、1二进制比特序列，分别用2ASK, 2FSK, 2PSK和2DPSK四种调制方式把它们调制到一个较高的载频上，调制参数自定，请给出前8个比特所对应的时域波形。 画出上述四种信号通过高斯白噪声信道后的相干解调器和非相干解调器的原理框图，并给出判决前的观测值的数学表达式。注: 如果某些调制方式无法进行非相干解调，请给出原因。 根据题2中的观测值的数学表达式，分别编程实现判决过程，将判决结果与原数据作比较，统计出各自在不同比特信噪比 值下的误比特率 ，然后画出 与 (dB)的曲线。建议 的范围为 0dB 到10dB, 以1dB为间隔。 将上述仿真得到的误比特率曲线与各自的理论值画在同一张图上进行比较并讨论。同时， 比较和讨论不同调制与解调方式的差错性能区别。(emulate 2ASK, 2FSK, 2PSK and 2DPSK using matlab)

matlab时频分析配套源码第12章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 12 procedures, please share)

(股市)非线性分析及预测工具箱，整合了原非线性时间序列分析工具箱程序，包含多个复杂度分析(如Higuchi法、计盒法)，相空间重构(Cao法、GP算法、互信息法)，最大李雅普诺夫指数判断(Wolf法、小数据法)和预测程序(lyp指数法、一次多步预测等)，程序执行效率高，实测可用。(Nonlinear analysis and prediction toolbox (stock market), the integration of the original nonlinear time series analysis toolbox program contains a number of complex analysis (Higuchi method, box-counting method), the phase space reconstruction (Cao Act, GP algorithm, mutual information method), the largest Lyapunov exponent judge the (Wolf Law, small data), and the prediction program (lyp index, a multi-step prediction), the high efficiency of the program, the measured available.)

Basic localization method

说明：  自己编写的自适应滤波算法的应用，应用于惯性导航系统初始对准中，静止基座(I have written the application of adaptive filtering algorithm used in inertial navigation system in the initial alignment, static base)

一种比较好的抗锯齿算法 Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots. See attached screenshot for a demonstration. More examples included in the code, just run help myaa . Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish( test.m ,opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.(A better anti-aliasing algorithm Add myaa.m to your path and enjoy anti-aliased professionally looking graphics in Matlab at any time. Myaa works with any kind of graphic (3-D, plots, scatterplots, ...) and even adds anti-aliasing to text, ui controls and grids. Myaa is ideal for complex, cluttered and saturated plots.See attached screenshot for a demonstration. More examples included in the code, just run help myaa. Curiosa: For those of you who publish your code often, an undocumented anti-aliasing option is included in the snapnow.m function in Matlab. To publish a file called test.m you can do: opts.figureSnapMethod = antialiased publish (test.m, opts) However, you will have more control over the process using myaa, which is also the best choice when using Matlab interactively.)

空间矢量svpwm控制的matlab仿真模型(Space vector svpwm control matlab simulation model)