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《精通MATLAB综合辅导与指南》里面的例程(" Comprehensive Counseling and proficient in MATLAB Guide" inside the routine)

中心显示格式求解poisson方程与精确解在绝对值型误差下的误差值，矩形区域，狄利克雷边界情况！(Center display format and exact solutions for solving the poisson equation error in the absolute value of the type of error values, rectangular area, Dirichlet boundary conditions!)

说明：  文档中的matlab源代码主要是针对单回路液位控制系统的PID控制实现，内有simulink原理图(Matlab source code in the document is mainly for single-loop PID control of water level control system to achieve, within the simulink diagram)

能够实现LL(1)预测分析过程的源码，有测试用例(To achieve LL (1) Prediction of the process of source code, there are test cases)

高阶谱估计的函数方程,很有用处,用于检测被高斯信号淹没的信号(higher order spectral estimation function equation, useful for the detection of Gaussian signal was submerged signal)

完整的算术编码的编码和译码程序。结合教材：王育民版的信息论与编码。(Complete arithmetic coding and decoding procedures. The combination of teaching: Wang Yumin s version of the theory of information and coding)

实测一组机械系统的振动信号，记录采样频率、采样点数，估计该组振动信号的均值、均方值、方差、自相关函数和功率谱，其中功率谱估计对比频率平滑与分段平滑的效率，针对分段平滑、分析不同平滑次数对功率谱估计的影响(Found a mechanical vibration signal system, the recording sampling frequency, sampling points, the estimated mean the set of vibration signals mean square value, variance, autocorrelation function and power spectrum, wherein the power spectrum estimation and comparison of frequency smoothing piecewise smooth efficiency for piecewise smooth, analyze the impact of different smooth frequency power spectrum estimation)

说明：  关于OFDM的经典文献，包括simulinc仿真的各个环节。(The classic literature about OFDM, including every link of simulinc simulation. )

做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

能量检测，根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考， 在AWGN信道中，给定SNR下，先产生一个原始信号（单音或者BPSK基带信号），然后叠加高斯噪声， 再进行能量检测(Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 series of articles published as a reference, in the AWGN channel, for a given SNR, the first generating an original signal (mono or BPSK baseband signal), and then superimposed Gaussian noise, then the energy detection)