eemdd

Analysis and Applications of Artificial Neural Networks

16QAM盲均衡,恒模算法，400次仿真，做出星座图，误差曲线(blind equalizaton for 16QAM,constant modulus algorithm，realization 400times ,constellation ,mmse curve)

用来计算T检验的信度值，给定自由度和置信度计算其比如相关系数的信度值(this program if for student-test)

matlab 中梁的弯矩 剪力 变形 轴力图形 以及源程序(matlab in Beams Shear deformation and axial force graphic source)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)

说明：  利用SVD进行信号降噪，通过fft判断奇异值个数，确定重构矩阵结构(Using SVD to reduce the noise of signal, using FFT to determine the number of singular values, and determining the structure of reconstruction matrix)

关于分解的viterbi译码的matlab算法()

这是一个半桥谐振的感应加热电源，里面有simulink文件和用于寻找谐振点和最大功率输出的matlab文件(This is a half-bridge resonant induction heating power supply, which has simulink file and is used to find the resonance point and the maximum power output of the matlab file)

本程序是希尔伯特黄变换中的EMD分解得到IMF分量的源程序(This procedure is the Hilbert-Huang transform EMD decomposition IMF component of the source)

我写的用于绘制绘制矩阵图形的小程序，要求matlab版本在6.0以上。(I write for rendering graphics rendering matrix of small procedures, requirements in Matlab version 6.0 and above.)