2949762_sod

旋转点目标的SAR成像算法。分析了旋转对常规成像的影响，之后进行了补偿。(Rotating point target of SAR imaging algorithm. Analysis of the impact of rotation on conventional imaging, after the compensation.)

Robust control for matlab

说明：  基于一次简单移动平均的时间序列预测算法，取值可随机修改(Based on a simple moving average time series prediction algorithm, the value can be randomly modified)

说明：  瑞利随机数的生成，通过两个同方差的正态分布而求得，并求出其PDF和CDF(Rayleigh random numbers generated by two normal distribution with variance that obtained and solved its PDF and CDF)

说明：  一个指纹识别的matlab源码，功能很好很强大(A fingerprint recognition matlab source code, function very very strong)

该程序是石川法计算齿轮啮合冲击载荷的matlab程序(The program is calculated Ishikawa gear shock loads matlab program)

图像一维熵的计算方法。读入彩色图像，利用图像信息熵的计算公式，设计算法，实现熵的计算。(one-dimensional image entropy method of calculation. Reading into color images using image information entropy formula, design algorithm, and entropy calculations.)

nonlinear control jalase8

Filter modeling using gravitational search algorithm

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 )