LS_esprit

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

关于matlab基础操作、矩阵运算、程序设计、绘图等的学习资料(Learning materials of the underlying operating on matlab, matrix operations, program design, graphics, etc.)

digital signal processing

说明：  很使用的一个系统辨识工具箱，其中包括许多系统辨识经典算法啊。。。希望对大家有用。(Is to use a system identification toolbox, including many system identification algorithms ah classic. . . Hope useful for all of us.)

求解三阶微分方程的matlab源代码，通过simulink模型以及matlab函数的调用(failed to translate)

说明：  这是SAR成像点目标仿真中的CS算法，程序严格按照Ian G. Cumming的《合成孔径雷达成像算法与算法》中CS算法来编写，对于学习CS算法的同学来说是入门级的仿真程序(CS SAR imaging point target simulation algorithm, the program written in strict accordance with the Ian G. Cumming synthetic aperture radar imaging algorithm and algorithm CS algorithm is the entry-level simulation program for students learning the CS algorithm)

机器人轨迹跟踪程序，采用控制器设计方法，可以实现跟踪圆弧、直线、螺旋曲线(Trajectory tracking program, using the controller design method can trace an arc, line, curve spiral)

这是IEEE上一篇比较不错的论文：关于低复杂度解决OFDM 系统中降低papr的新技术(This is the IEEE paper on a relatively good: low complexity solutions for OFDM systems in new technologies to reduce papr)

matlab7.0基础教程，很全面，适合初学者(matlab7.0 Basic tutorial, very comprehensive, suitable for beginners )

包含多种噪声谱估计算法用于语音增强，采用的是标准谱减法，主要用于对各种噪声谱估计算法对比，详见readme.txt(Ppls spectral subtraction noise spectrum estimation, mainly used to compare the performance of different noise spectrum estimation algorithms, including Martin s minimum tracking algorithm, Minimum controlled recursive average algorithm (Cohen), variant of Minimum controlled recursive average algorithm, improved Minimum controlled recursive average algorithm (Cohen ), continuous spectral minimum tracking (Doblinger), weighted spectral average (Hirsch & Ehrilcher), connected frequency regions (Sorensen & Andersen). See readme.txt inside)