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数字信号处理matlab程序，可以做为参考。(Digital signal processing matlab program can serve as a reference.)

利用周期图法对序列进行功率谱估计，数据窗采用汉明窗(Sequences using periodogram method for power spectrum estimation, the data window with Hamming window)

this program describes the kalman filter used to reduce the error to get better accuracy of the position.

Optimum array processing 最优阵列处理技术 第六章 最优波形估计的MATLAB程序 DOA MUSIC ESPRIT(Optimum array processing DOA MUSIC ESPRIT)

这是一本关于鲁棒自适应控制的专著，内容涵盖了当今鲁棒自适应控制的研究前沿。包括鲁棒最优控制，自适应控制，基于模型辨识的控制等多种控制方法，讲述非常详细，是一本难得的好书。(This is a robust adaptive control on the monograph, covering the current frontier of robust adaptive control. Including the robust optimal control, adaptive control, model-based recognition of control and other control methods, described in great detail, is a rare books.)

对模糊变量进行随机化，并用高斯分布进行概率求解，无密码(pair of fuzzy random variables, and using Gaussian probability distribution solution without passwords)

its says about finger print technology

本模型是EPS电子助力转向的MATLAB／SIMULINK模型，供大家参考(This model is the MATLAB / SIMULINK model of EPS electronic power steering, for your reference)

特征分解型求取离散分数阶傅里叶变换 特征分解算法通过求ＤＦＴ的核矩阵Ｆ（ｋ，ｎ）的特征值 和特征向量构造ＤＦＴ核矩阵的分数幂，以此作为Ｆａ（ｋ，ｎ） 来计算ＤＦｒＦＴ。(The kernel matrix eigenvalue decomposition algorithm for DFT F (k, n) characteristic value And the feature vectors are constructed as the fractional powers of the DFT kernel matrix, which are used as Fa (k, n) To calculate DFrFT.)

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)