rk3

白噪声背景下，均匀圆阵列的波束形成，并用三维形式显示出来(White noise background, the uniform circular array beamforming, and displayed three-dimensional form)

舵机的具体控制，方法简单实用，程序量小，经调试好使。(The specific servo control method is simple and practical procedures for a small amount so that by the debugging.)

说明：  本書完整的說明與充分的網路支援，可以使讀者能充分地掌握MATLAB的脈動，擁有解決工程問題的最佳利器,21-29章(A complete description of the book and the full network support, will enable readers to fully grasp the pulse of MATLAB, has to solve engineering problems in the best weapon ,21-29 s)

说明：  利用粒子群算法优化函数，对Rosenbrock最大值进行优化(Functions using particle swarm optimization, optimization of Rosenbrock maximum)

道路交通信息服务-道路编码规则 (RDS TMC)(Numbering of Roads in TTI (RDS TMC))

对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。(Of chaotic time series phase space reconstruction methods of C-C less than three points, a method based on an improved determination of former times Cc excellent window of time delay and embedding the new algorithm. Calculation of correlation integral in the process of introducing a trade-off accuracy and speed of the adjustable parameters, a reasonable choice of test parameters can be estimated without serious loss of accuracy under the premise of the calculation speed greatly accelerated. In the theoretical analysis, based on the algorithm used by the chaotic sequence of three phase-space reconstruction, simulation results show that the algorithm of the optimal choice of a more accurate time delay, the optimal embedding window for the selection of more reliable.)

matlab 中最方便的工具，simulink,本资料中搭建了BPSK，QPSK的simulink.(MATLAB SIMULINK)

利用matlab实现glomb编码算法，实现了数据的压缩(Coding algorithm using matlab to achieve glomb)

用turbo-C來編程80188,能boot開機,程式功能為DUCATI機車診斷程式。 (Programmed with a turbo-C 80188, to boot boot program features for DUCATI motorcycle diagnostic program.)

浙大蔡登，何晓飞写的降维，特征选择等机器学习的源码 包括：谱回归，降维，特征选择，主题模型，矩阵分解，稀疏编码，哈希，聚类，主动学习，矩阵学习。 是一个很好的机器学习源码资料。(cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduction (Subspace learning) Feature selection Topic modeling and GMM Matrix factorization Sparse coding Hashing Clustering Active learning Ranking and Metric learning )