closeloopmathssystemreaserch

this is a Use full Intoroduction to MATLAB Gps toolbox with examples

Python for Kids, Snake Wrangling for Kids - Learning to Program with Python 3, Windows ed. (2007)

信号盲源分离，非负矩阵分解，解决初值问题(Signal blind source separation and nonnegative matrix decomposition)

说明：  Turbo code primer用于通信系统里编码译码，误码率小，但复杂度比较高。(Turbo code primer is used for coding and decoding in communication systems, with low bit error rate but high complexity.)

二维DOA估计,文件不是很长，还是比较好用的，希望能对大家有所帮助(use for two-dimension DOA estimate.)

量子遗传算法用于求解非线性方程组，实用好用(Quantum Genetic Algorithm)

比较为基础的相关使用空间域使用两个伪序列块处理 为“0 1”，另一个是“1”水印恢复(Comparison-Based Correlation using block processing in the spatial domain Uses two PN sequences one for a "0" and another for a "1" Watermark Recovery)

恒虚警检查，根据虚警率确定门限值，进而确定检测概率(CFAR check, according to the false alarm rate to determine the threshold, and to determine the probability of detection)

说明：  多目标粒子群算法，求解多目标问题的经典的算法之一(multi-object PSO, one of the classical algorithms for solving multi-objective problems)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)