luihang_v72

独立成分分析（ICA）是最近开发的方法，它的目标是找到一种nongaussian等数据的线性表示 该元件是统计独立的或尽可能独立。应用包括信号特征提取与分离数据的基本结构。 在本文中，我们提出的基本理论和ICA的应用，以及我们对这个问题的近期工作。(Independent component analysis (ICA) is a recently developed method in which the goal is to find a linear representation of nongaussian data so that the components are statistically independent, or as independent as possible. Such a representation seems to capture the essential structure of the data in many applications, including feature extraction and signal separation. In this paper, we present the basic theory and applications of ICA, and our recent work on the subject)

通过文件读写方式实现Matlab和Modelsim的联合仿真(Be achieved through the document literacy co-simulation Matlab and Modelsim)

信号的一些时域指标计算，有效值，峰峰值，峭度，能量，倾斜度等(Calculation, effective value, some indexes of time domain signal peak, kurtosis, energy, gradient)

仿真GMSK传输系统，同时画出传输过程图形。(simulate the GMSK transmission system)

program simulink about mimo system

DCSK QCSK CS-DCSK系统仿真 以及说明 可用 经过测试 (DCSK SYSTEM)

Any individual or organization may be used for commercial purposes.

This program is a Matlab code for finding optimal solution of tower crane location in construction project using Genetic Algorithm

this is an ebook about neural network

This implements Lie-derivative based complete observability analysis for relative localization using equabilent relative measurement model.