robot_adaptive_control

利用最小二乘法的原理高精度估计正弦波信号的幅值，频率和初相(The principle of using the least squares method estimated sine wave signal amplitude, frequency and initial phase of high-precision)

基于Lyapunov稳定性理论的模型参考自适应控制，适用于初学者对模型参考自适应的认识与应用。(Model reference adaptive control based on Lyapunov stability theory for beginners to understand and apply the model reference adaptive.)

经典的瑞利衰落信道仿真模型-jakes模型。程序可以修改不同的入射路径个数。仿真结果是不同入射路径个数的jakes模型和同分布的瑞利衰落的包络分布对比。直接运行“tu.m”(The classic Rayleigh fading channel simulation model-jakes model. Program can modify the number of incident path. The simulation results compare jakes model of different incident paths with distribution of Rayleigh fading.)

双谱法时延估计算法，经过仿真验证效果很好(Dual spectroscopy delay estimation algorithm through simulation works well)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

矩阵逆运算，tsvd的算法，matlab函数程序(Matrix inverse operation, tsvd algorithm, matlab function procedures)

说明：  这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning(This is a Matlab achieve its neural network naturalization example, the realization of naturalization neural network is : Real Time Learning Recurrent)

BP算法用于分类，MATLAB环境， 可以直接运行。(BP algorithm is used for classification, can run directly.)

说明：  书籍源码——《MATLAB7.x数字信号处理》，文档清晰(Source book- )

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)