sbppp_1

使用低通滤波器从含有噪声的信号中提取有用的正弦波 (见实验指导书 实验九 数字滤波器中的第一题) 目的：用数字滤波器从含有高频噪声的采样数据中提取正弦信号。 要求：①输入信号为一正弦波，并加入一个白噪声的干扰来模拟信号传输中的随机干扰信号（用以模拟含有噪声采样序列）。 （模拟含有噪声采样序列具体可用正弦波信号叠加高频噪声来实现，为了使滤波效果明显，本实验的高频噪声是用高频均匀分布白噪声（Uniform）通过Butterworth高通滤波器过滤生成的，高通滤波器的截止频率设为10倍输入信号频率。） ②在程序中设计一个低通巴特沃斯滤波器，以滤除信号中的噪声分量，提取输入的正弦波信号 。 ③可调节信号滤波器的截止频率和阶数，可显示滤波前与滤波后的时域信号。 ④给出滤波前与滤波后的频谱特性的显示。 (Using low pass filter extracting useful sine wave signal containing noise(see experiment instruction digital filter in the first nine questions)Objective: to use digital filter sampling data extract containing high frequency noise sine signal.Requirements: (1) the input signal is a sine wave, and add a white noise interference to simulate the random disturbance signal of the signal transmission (to simulate contains noise sampling sequence).(simulated the sampling sequence contains noise available sine wave signal superposition of high frequency noise, in order to make the filtering effect is obvious, the experiment of high frequency noise is Uniform distribution with high frequency white noise (Uniform) by Butterworth high-pass filter to filter generated, high-pass filter cutoff frequency set to 10 times the size of the input signal frequency.)(2) in the program design a low-pass butterworth filter, in order to filter out the noise in the signal component, extract the input sine wav)

自适应滤波法做预测，并对预测结果，相对误差进行数据可视化，预测结果很准确(Adaptive filter prediction and forecast results, the relative error for data visualization, very accurate prediction results)

信号与系统在日常生活的应用举例及信号的描述等(Examples of signals and systems in daily life, and the description of the signal)

这是我参加12年美国数学建模大赛，关于Camping along the Big Long Rive这个问题的一些代码，虽然不算很好吧，但是有些结果还是不错的(I attended 12 years of the American Mathematical Modeling Contest, Camping along the Big Long Rive problem code, although it is not very good, but some results are still good)

说明：  利用matlab编写的kalman滤波源程序，经过详细测试绝对可以可靠使用(prepared by the use of Matlab Kalman filtering source, after careful testing can absolutely reliable use! !)

利用matlab进行主成分分析，得到各个相关系数等(Principal component analysis using matlab to get the various correlation coefficients, etc.)

Laminated Plate Analysis

Matlab code for CSMA

雨流计数法疲劳计算GUI可视化，包括接触应力和弯曲应力的计算分析(The rain flow count method GUI visual fatigue calculation， including the calculation of contact stress and bending stress analysis)

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