MATLAB-FDATOOL

this is book Basics of MATLAB and Beyond The book is in two parts. Each part was originally a two-day course, designed assuming that students were seated at a computer with matlab running.+(programme m.file matlab)

说明：  Isomap code --------------------------------------- Author: Josh Tenenbaum (jbt@psych.stanford.edu) [Dijkstra code by Mark Steyvers (msteyver@psych.stanford.edu)]

同步电机模型的MATLAB仿真.........(Synchronous motor model simulation of MATLAB .........)

this program is matlab

主分量分析是一种基本的多维数据描述方法，是一种能使多维数据按照实际研究的需要更好地描述出来的变换方法。(Principal component analysis is a basic description of the method of multidimensional data is a multidimensional data in accordance with the needs of the actual research to better describe the transformation method can make.)

图像增强技术属于数字图像预处理的范畴, 直方图均 衡化和规定化处理是图像增强技术中的基本方法。(Image enhancement technology areas are digital image preprocessing, histogram equalization and provides image enhancement processing technology is the basic method.)

智能天线圆形阵列设计程序，可以设置不同的圆半径。(Smart antenna circular array design process, you can set a different radius.)

说明：  一个A*算法的应用案例，在存在多种障碍物的环境下，实现智能体的航路规划(An application case of a * algorithm is used to realize the route planning of the agent in the presence of multiple obstacles)

matlab仿真Douglas-Peucke算法(matlab simulation Douglas-Peucke 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.)