Genetic-Algorithms

基本遗传算法,RBF神经网络算法,BP神经网络算法,一共5个源代码.程序可移植性强.(Basic genetic algorithm, RBF neural network algorithm, BP neural network algorithm, a total of 5 source code. Program portability strong.()

Huffman Coding & Decoding for Text Compression

数字信号处理实验代码（基于matlab）(daplab code based on matlab)

主要针对 MIMO中的alamouti 进行仿真测试，有2发1收，3发1收，4发1收 进行比较。(Mainly for the alamouti MIMO simulation test, there are two hair a close, 3 rounds a close, four made a close comparison.)

径向基神经网络,使用的算法梯度下降法,比较清晰,适合于初学神经网络的用户(RBF neural network, using gradient descent algorithm, more clarity, suitable for novice users of neural network)

说明：  一个完整的永磁同步电机SVPWM控制模型(A complete model of permanent magnet synchronous motor SVPWM control)

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 )

Interpolation using Lagrange

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload a total of 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

1.基于比例切换函数的滑模变控制算法实现 2.倒立摆滑模控制(1. Based on the ratio of sliding mode control of switching function algorithm 2. Sliding mode control for inverted pendulum)