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《Matlab信号处理详解》 详细介绍Matlab在数字信号处理中的应用实例，各种数字滤波器的设计，包含源程序，是数字信号课程设计的参考教材()

单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。它的理论根据是：线性规划问题的可行域是 n维向量空间Rn中的多面凸集，其最优值如果存在必在该凸集的某顶点处达到。顶点所对应的可行解称为基本可行解。单纯形法的基本思想是：先找出一个基本可行解，对它进行鉴别，看是否是最优解；若不是，则按照一定法则转换到另一改进的基本可行解,再鉴别；若仍不是，则再转换,按此重复进行。因基本可行解的个数有限，故经有限次转换必能得出问题的最优解。如果问题无最优解也可用此法判别。 (Simplex method, for solving linear programming problems common method. Simplex is the American mathematician GB Danzig in 1947 first put forward. Its theory is based on: linear programming problem feasible region is n-dimensional vector space Rn convex set in the multi-faceted, and its optimal value must be if the vertices of a convex set to achieve. Feasible solution corresponding to the vertex is called a basic feasible solution. The basic idea of the simplex method is: first find a basic feasible solution, to identify it and see whether it is the optimal solution If not, switch to another according to certain rules to improve the basic feasible solution, and then identify if still No, the re-conversion, click here to repeat. Due to the limited number of basic feasible solution, it will be converted by the finite optimal solution can be reached. If the problem can also be the optimal solution method has been applied without discrimination. )

MATLAB在通信系统中的应用及示例，包括通信工具箱函数、编码、信道模型、调制等。(MATLAB in communication system applications and examples, including communications toolbox function, coding, channel models, modulation and so on.)

BER Analysis for OFDM system

Matlab处理水电站开挖过程中收集的点云数据(Matlab processing point cloud data collected during the excavation of hydropower station)

最小均方误差自适应算法程序的MATLAB仿真(lms adaptive algorithm simulation)

简要说明了matlab中simulink模块的使用方法。(Briefly describe the matlab simulink module in use.)

用该遗传算法程序解决多峰值函数的优化问题，输出结果和图形！(Using the genetic algorithm program to solve the optimization problem of multi-peak function, output and graphics!)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

自适应信号处理，英文版的！！史坦福大学Bernard Widrow写的(Adaptive signal processing, the English version! ! Written by Bernard Widrow Stanford University)