time

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

本函数将完成W—svd模型下数字水印的嵌入，即经典的W-SVD数字水印算法(This function will finish W- SVD model under the embedded watermark, namely classic W- SVD watermarking algorithm is proposed)

matlab code for Rubik s Cube Simulator and Solver

对于LTE下行链路物理层循环前缀的仿真，能够得出符号的最佳采样时刻和良好的自相关性。(For simulation LTE downlink physical layer cyclic prefix, can be optimum symbol sampling instant and good autocorrelation.)

说明：  ％ 生成三个正弦函数并计算其幅度谱 属于MATLAB基础性的应用( Generate three sine function and calculate its amplitude spectrum belongs to the basic MATLAB Application)

matlab fem beam to solve displace

Simulate queueing In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model(In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model)

Matlab code that implements the Finite Difference Method in the context of Differencial Equations

這一篇論文的標題為「基於MIMO-OFDM的差分空頻群組碼」是2007發表的(This is a paper entitled )

直方图平均方法锐化图像，滤波去除噪声。matlab编写，包含整个实验报告(Histogram average method sharpen the image, filtering to remove noise. matlab written report that contains the entire experiment)