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matlab7.0应用编程，中文资料，每章一个文件(Application Programming matlab7.0, English information, each devoted to a file)

该程序的作用用于产生正交多项式.该压缩包内含有多个M文件,其中Approximation.m文件为主要的函数文件,它会调用其他的函数文件.该函数提供了和Matlab自身提供的函数一样的条用方式.(The role of the program used to generate orthogonal polynomials. The package contains a number of M documents, including documents Approximation.m function as the main document, it will call a function of other documents. The Matlab function provided and provide their own be a function with the same way.)

关于matlab编程的粒子群算法的重要参考(Matlab programming on an important reference for PSO)

matlab程序源码，可以在图像中隐藏信息(Hiding data in an image)

Arbitrary transmitting antenna, receiving antenna arbitrary STBC-MIMO-OFDM the MATLAB program, including the integrity of PSK modulation, STBC encoding, such as channel estimation.

内含有遗传算法和粒子群算法代码，全部代码都在matlab2013a测试完毕。(Contained within the genetic algorithm and particle swarm algorithm code, all the code in matlab2013a tested.)

说明：  本书从MATLAB仿真的角度出发，系统地介绍了系统辨识与自适应控制的基本理论和方法。本书共6章，主要内容为：绪论、系统辨识、模型参考自适应控制、自校正控制（包括广义预测控制）、基于常规控制策略的自校正控制和非线性系统辨识与控制（包括神经网络和模糊控制）。书中每种算法都配有仿真实例、仿真程序、仿真结果以及对仿真结果的简要分析，以便于读者深入理解和运用基本理论和算法(From the perspective of MATLAB simulation, this book systematically introduces the basic theories and methods of system identification and adaptive control. This book has 6 chapters, the main contents are: introduction, system identification, model reference adaptive control, self-tuning control (including generalized predictive control), self-tuning control based on conventional control strategies, and identification and control of nonlinear systems (including neural network) And fuzzy control). Each algorithm in the book is equipped with simulation examples, simulation programs, simulation results, and a brief analysis of the simulation results, so that readers can deeply understand and use basic theories and algorithms.)

小波阈值去噪，小波变换是一种信号的时间——尺度（时间——频率）分析方法，它具有多分辨分析的特点，而且在时频两域都具有表征信号局部特征的能力(Wavelet threshold denoising)

fisher an beetween scatter classifier

source code for currency detection