bfsk_m

Total program for radial system

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

CT重建算法-有序子集最大期望法(OSEM)matlab源程序(CT image reconstruction algorithm ordered subset expectation maximization (OSEM) algorithm matlab source)

boost电路仿真，元件采用的是igbt，用触发脉冲触发的(boost simuliation The components are IGBT and triggered by trigger pulse.)

用高斯混合模型来实现说话人识别的源代码，识别效果挺好的(Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape)

说明：  this is a MT-1D forward modeling code!

自己编写的基于要所感知的脑电信号预处理，代码效率良好，而且程序架构简单易行。(I have written EEG signal preprocessing based on the perceived good code efficiency, and procedural framework is simple.)

Used by plu to find a pivot for Gaussian elimination

一篇很好的讲述瑞利衰落信道下空时编码方法的英文文献(A good about Rayleigh fading channels space-time coding method of the English literature)

LEVINSON-DURBIN的算法matlab仿真与实现(The algorithm matlab of LEVINSON-DURBIN imitates really with realize)