levinsondurbin

本例演示：1、画两个同心圆，其中一个半径由独立输入宗量定义，另一个由变长度输入宗量的第一个元素定义，可以用任何指定的色彩线形绘制；2、变长度输入输出宗量在程序中的构成和使用；3、变长度输入输出宗量的对外使用表现(the cases demonstrated : a painting of two concentric circles, with a radius of independent input variables defined Another variable length from the importation of the first cases of an element of the definition, can be used in any linear color rendering; 2. Variable length input and output variables in the process of composition and use; 3, variable length input and output variables in the external use of performance)

通过该开发包，matlab可以读取MP3数据(Through the development kit, matlab can read MP3 data)

信号相干时MUSIC算法与改进MUSIC的比较仿真源代码(Signal coherence between MUSIC algorithm and improved MUSIC simulation source code)

包括九个实例，展示matlab在自动设计中的仿真应用(this book includes nine examples that represent tipical design tasks of an automotive applications)

非常适合初学者的的matlab通信原理入门书，很多学校都用这个做教材！(Matlab Communication Theory Primer is ideal for beginners, many schools have done with this material!)

共振解调的过程如下：首先对采集到的信号进行傅里叶变换，然后利用传感器自身的谐振频率进行分析，对滤波后的信号进行包络，包络以后去除了高频部分，得到包络信号，再对改进的包络信号进一步进行低通滤波，最后对最终得到的信号进行傅立叶变换求其频谱图。共振解调的原理及其过程可以用图2 来进行表述。(The process of resonance demodulation is as follows: First, Fourier transform is performed on the collected signal, and then the resonance frequency of the sensor is used for analysis. The filtered signal is enveloped, and the high frequency part is removed after enveloping to obtain an envelope. The signal is further subjected to low-pass filtering on the improved envelope signal. Finally, the spectrum of the resulting signal is Fourier-transformed. The principle of resonant demodulation and its process can be expressed in Figure 2.)

惯性导航系统仿真程序，SIMULINK环境(SIMULINK)

说明：  神经网络实现PID功能的源程序 用MATLAB直接运行就可以 可作学习用!(PID neural network function in MATLAB source code used to run directly on the study can be used!)

The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 2.0 (February 2005) handles sparse matrices and contains an example

彩色图像的道路识别 程序运行后，从图中截取一块区域，计算均置于方差，并得到结果。(Segmentation of Road in colorful pictures )