PLL-Matlab

用NRTL模型，求解萘在一种离子液体中的活度系数。 求解非线性方程、非线性拟合都可以实现。 稍微对比了一下，发现还是拟合的结果好些。 Matlab源程序及结果在附件里(with NRTL model for naphthalene in an ionic liquid in the activity coefficient. Solve nonlinear equations, nonlinear fitting can be achieved. Contrast slightly for a moment and found that the fitting or better results. Matlab source and the results of the annex)

FMCW汽车防撞雷达的多目标信号处理方法研究，介绍了汽车防撞雷达的信号处理流程及相关方法(Multi-objective signal processing method FMCW automotive collision avoidance radar, introduced the automotive collision avoidance radar signal processing and related methods)

利用Matlab仿真的泊松过程，包含齐次过程和非齐次过程，平稳过程等。(Matlab simulation of the Poisson process, including the process of homogeneous and inhomogeneous process, stationary process.)

quadrature phase shift keying full system simulink model

本算法能对来波方向进行估计，精确度在10度以内，很有学习价值(The algorithm can estimate the DOA accuracy within 10 degrees, great learning value)

通过对大量顾客购买数据进行分析，即购物篮模型，然后给出合理的建议(SHOPPING ansys)

this code can be use in prediction filter of seismic data.

MATLAB实现灰度图和彩色图的数字水印，有图像用户界面的(MATLAB realization of grayscale and color map of digital watermarking, a graphical user interface)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

TP1_loi_de_bernouli avec matlab