dct_watermark

硕博士11、12年论文，主要是GPS信号的处理：捕获与跟踪(11, 12 years of doctoral thesis, mainly related to GPS signal processing: acquisition and tracking)

维纳噪声抑制；实验分析；实验结果及分析；利用信号之间的相关性进行信号估计，从而将噪声滤除(Wiener noise suppression Experimental analysis The experimental results and analysis Using the signal signal to estimate the association between, to filter out noise )

说明：  最小二乘法匹配，matlab代码，相关系数最大，单点最小二乘匹配(Least squares matching, matlab code, maximum correlation coefficient, single-point least squares matching)

1.实验目的：绘制分形图案并分析其特点。  2.实验内容：绘制Koch曲线、Sierpinski三角形和树木花草图形，观察这些图形的局部和原来分形图形的关系。  3.实验思路：利用函数反复调用自己来模拟分形构造时的迭代过程，当迭代指标n为0时运行作图操作，否则继续迭代(1. Purpose: Draw fractal patterns and analyze their characteristics. 2. Experiment: Draw Koch curve, Sierpinski triangle graphic flowers and trees, observe the relationship between the local and original graphics fractal graphics. 3. Experiment idea: using the function calls itself repeatedly to simulate the iterative process when the fractal structure, when the iteration index n is plotted 0:00 run, otherwise continue iterating)

VIPER video tracking system

源代码包括插值，函数逼近，数值微分，积分，线性及非线性方程，常微分，偏微分方程等的解法(Source code, including interpolation, function approximation, numerical differentiation, integration, linear and nonlinear equations, ordinary differential, partial differential equations such as the Solution)

分裂场PML吸收层，模拟时谐场，在二维空间的传播。(split PML to simulate the sinsoudal wave )

LDPC译码仿真实验 程序代码 simulingk仿真(LDPC decoder simulation simulation code simulingk)

微波测距，增加对微波测距远离的理解，属于微波测距中的脉冲测距。(Pulse ranging is a kind of microwave ranging, and the simulation of pulse ranging can increase the understanding of the principle of ranging.)

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计 优化1：设计了yyy，即在o(k)计算公式时，当网络进入平坦区时(<0.0001)学习率加大，出来后学习率又还原 优化2：v(i,j)=v(i,j)+deltv(i,j)+a*dv(i,j) (BP network in strict accordance with the formula to design a matlab program, the optimized BP network design optimization 1: Design of the yyy, that is, o (k) formula, when the network into the flat areas (< 0.0001) increase learning rate large, after the optimization of learning rate reduction 2: v (i, j) = v (i, j)+ deltv (i, j)+ a* dv (i, j) )