kalmangain

this helps for understanding insar simulation

this is decision tree ID3 algorithm, this algorithm is one of decision tree algorithm like cart, chaid, c4.5, etc

说明：  code and result of self-adaptive filter

说明：  4. 试说明卷积编解码的工作原理。请用Simulink仿真卷积编码，并用Viterbi译码的方法进行解码，其中的编码、译码全部是自己编写代码(S-Function方式)，不是调用Simulink的已有编码、译码函数。请在加性白高斯噪声信道中，画出比特信噪比与误码率的关系曲线。(4 Explain the working principle of convolutional encoding and decoding. Please use the Simulink simulation convolutional coding and Viterbi decoding method used to decode, in which the encoding, decoding all write your own code (S-Function mode), instead of calling the Simulink existing encoding and decoding functions. In additive white Gaussian noise channel, signal to noise ratio and bit error rate to draw the curve.)

DWT音频水印嵌入算法，DWT音频水印嵌入算法，DWT音频水印嵌入算法(The DWT audio watermark embedding algorithm, DWT audio watermarking algorithm, DWT audio watermark embedding algorithm)

本文件是基于MATLAB的声音信号频谱分析仪的源代码(This document is based on MATLAB)

说明：  书籍的matlab例程：通信系统与 MATLAB(Example: Communication System with MATLAB)

根据” J.S. Erkelens and R. Heusdens, "Tracking of nonstationary noise based on data-driven recursive noise power estimation”所开发的源码(noisetracker based on data-driven recursive noise power estimation)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

用toplitze 矩阵重构法实现相干信源来波方向估计(using the method of matrix reconsructing to realize the estimation of DOA of coherent singnal)