niemui

独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医 域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和 究的发展方向，旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)

hidden markov models for face recegnisation

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，语音信号的采集与处理，数字信号处理课设，对信号进行频谱分析及滤波。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Acquisition and Processing of the speech signal, digital signal processing class-based, The signal spectral analysis and filtering.)

MATLAB implementation of the 3GPP Spatial Channel Model

求电力系统状态估计ieee9节点 的雅阁比矩阵 依次类推可以求多个节点的雅阁比矩阵(Seeking power system state estimation Accord than ieee9 node matrix)

John Conway s Game of Life _____________________________ A matlab simulation of John Conway s Game of Life

peak filter design for audio signal

程序实现了naive bayes classifier， 并附有对美国参议院根据投票情况来判断议员属于民主党还是共和党的例子。(Program achieved a naive bayes classifier, along with the U.S. Senate voting to determine under Democrat and Republican members belonging examples.)

计算原图像在阈值为s时均值的matlab源代码 (Calculation of the original image when the threshold value s mean matlab source code)

Propagation of a secant hyperbolic pulse in a dispersive media. Solution of an example in the Agrawal s book Nonlinear Optics