LSunwrap-and-peaks

线性调频（LFM）脉冲压缩雷达仿真,线性调频脉冲压缩的Matlab程序，Word说明，运行结果(linear FM (LFM) radar pulse compression simulation, LFM Matlab pulse compression procedures, Word stated that operating results)

数字波束形成，更改指向，更改阵元数量，加噪声(DBF beam forming )

esprit算法对有干扰的信号频率进行估计,多元数据分析的主分量分析投影，光纤陀螺输出误差的allan方差分析。( esprit algorithm signal frequency interference can be assessed Principal component analysis of multivariate data analysis projection, allan FOG output error variance analysis.)

电力电子环流SIMULINK模型 Notice that the Thyristor blocks have an output identified by the letter m. This output returns a Simulink vectorized signal containing the thyristor current (Iak) and voltage (Vak). (SIMULINK model of power electronic circulation Notice that the Thyristor blocks have an output identified by the letter m. This output returns a Simulink vectorized signal containing the thyristor current (Iak) and voltage (Vak).)

matlab 滤波信号处理功能，消除确定性成分和拟合曲线。(matlab funtionFiltering signal processing function, eliminate deterministic component and fitting curve 。 )

fm modulation & demodulation code for matlab

to calculate hurst exp

用户fieldII 的超声系统仿真程序,用于对超声系统的声场仿真(Ultrasound ansys for fieldII)

自己编的，基于自然梯度的盲源分离算法，如果想对自然梯度有所了解，可以参考Amari的经典文章。网络上一搜就行。(own series, based on the natural gradient algorithm blind source separation, if you want to understand the natural gradient. Amari can refer to the classic article. Networks found on a trip.)

一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。(Algorithm on High Resolution DOA Estimation without Sources Number：Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method.)