Lab2

面阵中二维角度估计的matlab程序，应用Unitar-ESPRIT算法，有部分注释。(Array of two-dimensional Angle estimation of matlab, Unitar- ESPRIT algorithm and some comments.)

Obtain Quadrature Amplitude Modulation. Plot its BER vs SNR curve at different amplitudes.

信号的谱估计的相关问题例子，可以用于初步了解相关原理(Signal spectrum estimation examples of related issues, can be used in a preliminary understanding of the relevant principles of)

初学matlab的教程，比较全面，比较实用，此部分为第一部分。(Matlab beginner tutorial, more comprehensive, more practical, this section is the first part.)

关于数字信号处理的matlab程序实现代码，有很多实用的方法，如功率谱估计的算法等等，对学习数字信号处理很有帮助(On digital signal processing matlab program implementation code, there are many practical ways, such as power spectrum estimation algorithms, etc., is helpful in learning digital signal processing)

matlab图像处理实例详解chap8——图像变换技术(matlab image processing examples explain chap8- image conversion technology)

Analog communication for matlab(Analog communication for Matlab)

如果对通信系统的同步或者频偏感兴趣的话，这将是一个很好的学习代码，我花了很长时间写的(Communication system synchronization or frequency offset of interest, this will be a good learning code, I spent a long time to write)

IEEE802.15协议matlab仿真程序(IEEE802.15 protocol matlab simulation program)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.