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I have contributed 40 objective type c questions written as source code. Which will be helpful in learning C.

利用单带滤波器来设计一个半带滤波器，并显示半带滤波器H0,H1,及 H0+H1的幅频响应 单带滤波器的归一化截止频率为0.84,长度＝16，半带滤波器的长度＝31。(to explain how to design a biorthogonal FB by Lattice structure)

lms algorithm in matlab

检查/剪裁的例子 孤立点检测实例 正交回归的例子 单因数变异数(泊松回归/逻辑回归)的例子 鲁棒回归的例子 特征选择的例子 常见的边坡问题的例子 (Censoring/clipping example Outlier detection example Orthogonal regression example GLM (Poisson regression/logistic regression) example Robust regression example Feature selection example Common slope problem example )

Jacobi雅克比公式计算,利用雅可比公式的调用(Jacobi Jacobi formula using the call of the Jacobian formula)

单闭环直流电动机控制，实现PID自动控制(Single loop DC motor control)

16QAM调制和解调，中间经过高频调制，采用均衡接收,信道为加性高斯白噪声(16QAM modulation and demodulation, then modulate the signal to the high frequence before translated onto the channel)

对多传感器数据进行加权融合，该算法中提出来扩展支持度矩阵，用Matlab进行仿真。(Weighted multi-sensor data fusion, the algorithm proposed to extend the support matrix, using Matlab simulation.)

an inferior assistant or a channel administrator hopes to append some additional message, such as the origin information, image notation or authentication data, within the encrypted image though he does not know the original image content. some parameters are embedded into a small number of encrypted pixels, and the of the other encrypted pixels are compressed to create a space for accommodating the additional data and the original data at the positions occupied by the parameters

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)