files

MatLab-20Tutorial.zip........this file contains 20 pdf tutorails on matlab with examples on m files.

qpsk调制解调，外加取样判决脉冲成型，可以加入任何程序模块中，保证解码译码的便利性(qpsk modem, plus a sample sentence pulse shaping, you can add any program module to ensure ease of decoding decoding)

The model of a discrete system with variable step size calculation is given in the file vsfunc.m. Considered S-function simulates the signal delay device. The delay time is determined by the input signal.

说明：  双向DC，plecs仿真，带闭环控制，可以联合仿真(Bidirectional DCplecs simulation)

it is phae shift keying

干涉仪测向具有精度高、速度快的特点，在无源探测定位系统中具有广泛的应用。传统干涉仪依靠短基线保证无模糊测向范围，依靠长基线保证测向精度，采用整数阶基线比。该方法在宽带应用条件下难以实现，且对天线阵的安装位置非常敏感。本课题研究分数阶干涉仪测向的算法，同时实现宽带、高精度、无模糊的要求，并研究不同分数比、相位测量误差对测向精度的影响，进行仿真验证。 (interferometer is measured to high accuracy and fast, in the passive position detection system has wide application. Rely on traditional interferometer no guarantee short baseline measurement to the scope of fuzzy, relying on long baseline measurement to ensure accuracy, using integer band than the baseline. The method in broadband applications under difficult conditions and the right antenna installation location is very sensitive. The research fractional interferometer to test the algorithm, while achieving wide-band, high-precision, without ambiguity, and different than the scores, phase measurement error to the measurement accuracy of the impact simulation test.)

matlab，实现永磁同步电机调速。pid控制(matlab pmsm pid controller)

用matlab编程，关于RBF神经网络预测的问题(Using matlab programming, on the RBF neural network prediction problem)

this is random decermin technique for mode estimation with wavelet techiniq

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)