LCL_Filter_Design

这是一个关于模糊函数的matlab源代码，希望能对作相关领域的人带来一些帮助(This is a function on the fuzzy matlab source code, hoping to make the related fields to bring some help)

An efficient program to do Selection-Sort for vectors in C++!

UniTire 模型的matlab程序，采用了自带的优化算法，进行数据拟合(using for calculate the uniTire model)

单面全矢动平衡，萨拉过后而后感觉请啊饿哦韩国(Single vector dynamic balance, and then feel hungry oh please South Korea after Sarah)

在蛋白质数据库中下载氨基酸序列，然后用此程序读取氨基酸序列(in protein pdb,read amino acid series)

实现自适应算法，利用FIR滤波器实现的，在三维空间的有源噪声控制中有预测能力(Realize adaptive algorithm, using FIR filters realized in three-dimensional space of the Active Noise Control has predictive power)

对于数字图像处理技术中，图像的编码分为RGB和HIS，这个资料讲述了在matlab中如何将两种编码转换，在实际应用中非常广泛！(For digital image processing technology, image coding is divided into RGB and HIS, this information describes how the two kinds in the matlab code conversion, in a wide range of practical applications!)

利用追赶法求解三对角线性方程组，matlab程序代码(chasing method)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

自适应和灰色模型的一些相应代码，根据论文写的，和结果一样。(Some adaptive code and corresponding gray model, according to a paper written and the same results.)