plotimage_setglobal

说明：  用matlab程序编写，计算分形图像的计盒维数。(Programming using matlab to calculate the fractal box dimension image.)

在matlab中演奏卡农，很有趣的一个程序，可以学习怎样用matlab控制计算机发出有规律的声音(play Canon on Matlab)

LDPC非规则二进制校验矩阵生成函数，可生成任意规格的校验矩阵(Irregular LDPC binary check matrix generating function, can generate arbitrary specifications checksum matrix)

高斯插值算法，有人需要吗，我的收藏，欢迎下载(Gaussian interpolation algorithm, some people need to be done, my collection, please download)

此资料是自动控制原理实验的具体步骤，能够帮助更好的使用matlab进行PID等控制实验(This information is the principle of automatic control experiment concrete steps can help make better use of matlab PID control experiment)

此方法是求互信息，方法很好哦，希望大家下载！谢谢(this is very good file hope you get it)

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 )

基于BP神经网络算法的非线性系统拟合，在matlab中实现BP神经网络非线性拟合算法。(BP neural network algorithm fitting of nonlinear systems)

Matalb Package for optimization. Quite useful in Economics.

omp 算法 你可以通过这个算法完成图像恢复，效果好，恢复时间短，误码率低，解决凸优化算法复杂度高的缺点convex optimization algorithm with high complexity(omp algorithm you can accomplish by this algorithm for image restoration, good effect, shorter recovery time, error rate, to solve the shortcomings of convex optimization algorithm with high complexity)