QC-LDPC-for-deep-space-applications-

Average mutual information

MATLAB求解非线性方程组 fsolve源程序代码 该列具有典型性和代表性(MATLAB求解非线性方程组 fsolve源程序代码)

Matlab得基础教程，其在高等数学，线性代数，数值分析中应用和实现，以及较经典的数学建模。(Matlab was based tutorial, its higher mathematics, linear algebra, numerical analysis and implementation of applications, as well as more classical mathematical modeling.)

信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)

MATLAB,通过遗传算法实现函数的最值问题，包含选择，交叉以及变异操作(MATLAB, through the genetic algorithm function, the most value problems, including selection, crossover and mutation operations)

Newton法求特定方程的最小正根的计算程序(Newton Method particular the least positive root of equation calculation program)

混沌时序多步预测函数，采用matlab编程，简单易懂(Chaotic time series multi-step prediction function, using the Matlab programming, easy to understand)

混沌时间序列分析版，里面包括了很多的代码，有lyapunov，CC，GP等等计算混沌的算法(Chaos time series analysis, including a lot of code, and CC, GP, lyapunov calculation of chaos)

Genetic algorithms in 8 queen problem

经验小波分解，通过ewt变换分解重构信号，实现对信号的降噪(Experience in wavelet decomposition, reconstruction signal by ewt transformation decomposition, realize the signal noise reduction)