GUI_rar

NOTE: This function modifies the BUTTONDOWNFCN of axes in the input list, and their children. However, it will not modify any object whose buttondownfcn is nonempty.

Every signal can be written as a sum of sinusoids with di® erent amplitudes and frequencies. The MATLAB command to compute the Fourier Transform and its inverse are respectively ® t and i® t

本书荣获2005年第十五届Jolt通用类图书震撼大奖。 继 Effective C++ 之后，Scott Meyers 于 1996 推出这本「续集」。本书与现今之 C++ 标准规格几乎相同。可能变化的几个弹性之处，Meyers 也都有所说明与提示。(the book won the 2005 session of the 15th General Books Jolt Awards shock. Following the Effective C, Scott Meyers in 1996 to launch the "sequel." The book's C with the current standard is almost the same. Several possible changes in flexibility, Meyers also has suggested and described.)

一些控制方面的东西 希望对大家能有用 希望大家能多上传一些有关飞行控制的东西啊 (Some control of things we hope to be useful for and I hope people can up down more useful code about control)

用esprit算法对波达方向（DOA）信号进行DOA估计的matlab程序。(DOA (DOA) signal DOA estimation algorithm matlab procedures used esprit.)

近红外光谱平滑去噪算法，由于光谱仪得到的光谱信号中既有有用的信息，同时也叠加着随机误差，即噪声，而这种方法能取到很好的去噪作用。(Nir denoising smoothing algorithm, as a result of the spectrometer for spectrum signal in both the useful information, and superposition of the random error, the noise, and this method can get very good denoising effect. )

nonlinear predictive control

说明：  寻找一定范围图像内的质心，matlab矩阵实验的m文件(finding center)

amplitude shift keying,frequency shift keying.phase shift keying,pulse amplitude modulation,pulse width modulation

This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly’s flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33- bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.