package_emd

求解函数最大值的遗传算法Matlab源代码(maximum function for the genetic algorithm source code Matlab)

此程序利用小波包分形理论，计算一维信号的盒维数，判定此复杂度(This procedure using the wavelet packet theory, the fractal calculation of one dimensional signal box dimension, determine the complexity)

三维张量在不同坐标系统的变换，可用于各向异性介质的介电张量的旋转等问题(3D tensor in different coordinate systems transformation can be used in the dielectric anisotropy tensor rotation problems)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

说明：  PID的MATLAB仿真程序，各种PID的。很全，欢迎下载(hao)

Am FM modulation Generator using 512 points in Ms Excel

Several methods for solving equations matlab

预测函数控制的英文书籍很有用，包含很多内容(English books useful predictive function control contains a lot of content)

一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)

OFDM系统中基于DFT的信道估计技术仿真(OFDM system channel estimation based on DFT)