faifie

CR1Dmod_v1p6_m CR1DMOD is the main function in a 1D forward modelling package which has the capability of modelling Complex Resistivity effects. A call to CR1DMOD will open the main gui interface, from which layered earth models can be created and measurement configurations defined. The program is written for and tested in Matlab 6.5 R13.

说明：  系统辨识与MATLAB仿真程序与剖析夹介绍了MATLAB应用入门方法，本程序是关于m序列的MATLAB程序。并提供具体程序予以分析(System identification and analysis of MATLAB simulation program with MATLAB Applications folder entry describes the method, the program is on the m sequence of MATLAB. And to provide specific procedures to analyze)

matlab 求信号的最大频率曲线程序，很简便~~(matlab curve seek the maximum frequency of the signal process, it is easy ~ ~)

介绍了一种基于MATLAB的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一步提高识别率。此设计是以LPCC系数、DTW算法为核心的基于图形界面的设计。(A Based on MATLAB more specific conjunctions speech recognition, and during endpoint detection, the introduction of the concept of average to further improve the recognition rate. This design is based on LPCC coefficients, the DTW algorithm as the core-based graphical interface design.)

用基本粒子群算法来解决优化问题，本程序给出的是测试函数，根据需要可以自行更改适应度函数。(Using particle swarm optimization algorithm to solve the problem, this program is given a test function, you can change the fitness function according to their needs.)

LMS自适应算法matlab程序，能够运行(LMS adaptive algorithm matlab program to run)

相信介绍了模式分类的各种方法，经典著作。(Believe that introduces various methods of pattern classification, classics.)

This is slab waveguide TMmode simmlation.

machine electrotechnic control

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.)