chapter6

本文利用软件相移技术得到相互正交的参考正弦波信号；通过互相关算法，完成了软正交矢量型LIA相关器的具体实现；利用该方法实现了对微弱信号幅值和相位的检测，有效地抑制干扰，减少了硬件电路成本。通过Matlab仿真，验证了该算法具有一定的优越性。(In this paper, the software technology is orthogonal to the phase shift of the reference sine wave signal through cross-correlation algorithm to complete the implementation of soft orthogonal vector LIA correlator achieved using this method for detecting a weak signal amplitude and phase, effectively suppress the interference and reduce the cost of the hardware circuit. By Matlab simulation show that the algorithm has certain advantages.)

EKF与PF在目标跟踪中的一个简单比较，比较实用(EKF and the PF in the target tracking in a simple comparison of practical)

这是一个用matlba实现双声道和单声道的录音器的程序(Dual-channel and single channel recording device)

说明：  在数字信号处理，采用滑动平均的方法消除噪声(In digital signal processing, using moving average method to eliminate noise)

这是关于matilab的一百个实例非常实用，初学者可以多加以琢磨(This is about the matilab one hundred examples, very practical, beginners can try to consider )

说明：  一个matlab 的HOUGH变换程序，主要用于边远检测和图像处理。中间包含了CANNY算子等多种算法 还是很有用的(a Matlab HOUGH transform procedure, mainly for remote detection and image processing. Included among the Canny operator of a variety of algorithms or very useful)

实现OFDM误码率曲线图的仿真,打开MATLAB软件，直接运行OFDM.M的那个文件就可以了(very good)

数字信号处理——基于计算机的方法，历程！！！！！(Digital Signal Processing- a computer-based method)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

cognitive radio simulations of various noise models snr calculation