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matlab7.0的使用教程，特别适合新手学习matlab参考阅读，英文版(matlab guide book )

基于matlab的ofdm系统仿真性能、源代码、原理(Performance of ofdm system based on matlab simulation, the source, and principle)

MAtLab PLOTTING: A SIMPLE EXAMPL TO SHOW THE EASINNESS OF PLOTTING USING MATLAB AND OCTAVE

arma模型的具体实现代码， 可以用(arma model of the specific code, you can use)

雷达线性调频信号的产生，及其通过滤波器加窗后的一些变换(Radar chirp signal generation and its windowing through the filter after transformation)

建模竞赛2012 B 太阳能小屋光伏电池最优铺设问题(Modeling Contest 2012 B program)

响应面法matlaB程序，大家可以下载。(RMS code)

five script.m for 1. BER in Rayleigh fading channel with MRC 2. BER in Rayleigh fading channel with EGC 3. BER in Rayleigh fading channel with selection 4. BER in Rayleigh fading channel with alamoutistbc 5. BER in Rayleigh fading channel with beamforming

of the electrical power system. At the time of transformer energization high current is drawn by the transformer known as the inrush current. This current is nearly ten times more than the full load current of transformer. It produces mechanical stress on transformer and also affects the windings and bushings of the transformer. The large switching transient current affects malfunction of protection system of power system and the different equipments connected to system. So the inrush current should be minimized. There are different methods used to minimize the inrush current such as volt second balance, series compensator, point on wave switching method etc. This paper focuses on point on wave switching method. It also explains the results for inrush current of three phase transformer with and without point on wave switching method. A test is driven on 450 kVA, 500kV/230kV grounded Y/D transformer in MATLAB/SIMLINK environment. It also focuses on

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)