MATLAB-2660

随机信号分析实验2_1，包括给予matlab的随机序列的产生以及其相关函数和功率谱的估计。(Random signal analysis experiment 2_1, including to matlab random sequence generation and the correlation function and power spectrum estimation.)

四元数工具箱，matlab环境下使用，为用户提供高效的仿真工具(Quaternion toolbox, matlab environment to provide users with efficient simulation tool)

改进的muller算法 当中不用判断 直接考虑了复数根的情况 并包含一个例子(Improved muller algorithm to determine which do not directly take into account the complex situation in the root and contains an example)

最小二乘估计算法论文和matlab仿真源程序 (The least square estimation algorithm papers)

说明：  基于模型预测控制算法做自动驾驶车辆轨迹规划(Trajectory planning of autonomous vehicle based on model predictive control algorithm)

第一步是计算输人信号单边功率谱密度（ESD）。使用快 ％速傅里叶（FFr）算法将信号从时域转换到频域。因为FFr算法的输出是离散谱，而这 ％里我们需要的是连续谱，因此需要引人不同的比例因子来实现从离散谱到连续谱的转换。 ％在第二步中，我们利用迭代算法计算出相对于特定阂值的ESD的最高和最低频率，从而 ％估算出被检测信号所占用的带宽。这种算法同时适用于基带信号和已调制信号。最后， ％在第三步中，我们给出了输出图形的原代码。(The first step is calculating the input signal unilateral power spectral density (ESD). The use of fast Fourier speed (FFr) algorithm for the signal conversion from time domain to frequency domain. FFR algorithm because the output is a discrete spectrum, which we need is a continuous spectrum, so the need for food of different scale factor to achieve from the discrete spectrum to continuous spectrum conversion. In the second step, we use iterative algorithm to calculate a specific threshold in relation to the ESD of the highest and lowest frequency, thus estimated to be occupied by the signal detection bandwidth. This algorithm applies to both baseband signal and modulation signals. Finally, in the third step, we give the graphical output of the original code.)

用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明，原理分析及数据。相比原来版本的LSA，增加了文件demo.m以增加可视化效果，更有利于读者使用。(-Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed description, principles of function analysis and data. Run demo.m can see the visualization effect.)

hurst指数计算宏,计算简单,效率较高(Hurst index macros, computing simple, efficient)

EP1C6Q240C8的examples 鼠标口测试程序(The examples I EP1C6Q240C8 mouse test procedures)

这是一本关于鲁棒自适应控制的专著，内容涵盖了当今鲁棒自适应控制的研究前沿。包括鲁棒最优控制，自适应控制，基于模型辨识的控制等多种控制方法，讲述非常详细，是一本难得的好书。(This is a robust adaptive control on the monograph, covering the current frontier of robust adaptive control. Including the robust optimal control, adaptive control, model-based recognition of control and other control methods, described in great detail, is a rare books.)