WSN_mac

用matlab实现setar预测模型的关键步骤：确定分段数d，分段区间门限值(the key steps to modeling SETAR prediction models with matlab is to determine the number of sub-paragraph d, subparagraph threshold interval)

外点罚函数法，用于求解非线性优化问题，适用于matlb程序(Outside the penalty function method for solving nonlinear optimization problems for matlb program)

书中全面系统地介绍了优化方法的基础理论和优化工具箱v2.2函数的功能、语法和工程实际应用。 (The book introduces a comprehensive and systematic optimization approach is based on theory and optimization toolbox v2.2 of functionality, syntax and engineering applications.)

本代码基于dwt的音频水印技术，在音频中加入高斯随机水印，达到防伪的效果。(The code is based on dwt audio watermarking technology in audio watermarking by adding Gaussian random to achieve security results.)

合成孔径雷达成像算法与实现光盘的相应资料，包括光盘数据的格式说明，读取光盘数据的Matlab程序。(This is the supporting information of the book Digital Processing of Synthetic aperture radar data algorithms and implementation , including a document which explains how to read the RADASAT data CD, and Matlab programs which are used to extract data from CD.)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

实现qpsk调制，通过瑞丽信道和高斯信道 然后计算其误码率 并进行比较(Qpsk modulation to achieve, by Rui Lixin Road and Gaussian channel and then calculate the error rate and compare)

说明：  Optimization Example

MacCormack格式 一维黎曼问题数值解(MacCormack numerical solution of one dimensional Riemannian question format)

主要计算电力系统机组组合问题，高智能算法，收敛效果好，迭代稳定(Main computing unit combination problem of power system, intelligent algorithms, convergence effect is good, stable iteration)