psd_integ

自己写的圆阵空间谱估计MUSIC和mvdr(Write your own circular array spatial spectrum estimation MUSIC and mvdr)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

gmm distribution writer

说明：  构建PID控制器，设计P和I两个参数，并画出其参数范围(Build a PID controller, the design of the two parameters P and I and draw the scope of its parameters)

杜宾算法求线性预测系数杜宾算法求线性预测系数(Durbin algorithm for linear prediction coefficient)

Dynamic simulation of a manually operated star

利用已识别出的参数，得到Bouc-Wen模型的力-位移曲线。(Obtain the force-displacement curve of Bouc-Wen model, using the identified parameters.)

设计一个按照时间抽取的基2快速傅里叶变换（基2FFT-DIT）。输入倒位序，输出自然顺序。(To design a time of extraction according to the base 2 Fast Fourier Transform (base 2FFT-DIT). Input inversion sequence, the output natural order.)

正弦光栅,通过这个程序，可以长生一个纵向的饿512*512的正弦光栅，并通过图像显示出来(a sin grating and it could be showned trough the matlab program)

用matlab实现自适应信号处理中的LCMV（8阵元） 和 v步LMs 算法。 (Adaptive signal processing using matlab to achieve the LCMV (8 array element) and v step LMs algorithm.)