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Alamouti

于 2008-09-24 发布文件大小:5KB

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说明：瑞利衰落信道中空时编码仿真程序： 1.2根发射天线、1根接收天线2.最高信噪比为12dB，即仿真范围为0dB到12dB3.在每个信噪比条件下,误符号数超过20即停止该信噪比条件下的仿真4.每一帧数据为24个QPSK符号(Rayleigh Fading Channels Space-Time Coding Simulation Program: 1.2 transmission antennas, a receiving antenna 2. The highest SNR 12dB, that is, simulation range of 0dB to 12dB3. In each signal to noise ratio conditions, the number of symbol error over 20 that is, to stop the signal to noise ratio under the conditions of simulation 4. each frame 24 QPSK data symbols)

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shangzai
文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(The file contains three sub file: dec.m, test_dec.m, recon.m The dec.m file using the MATLAB language to write my own wavelet decomposition algorithm Wavelet Mallat test_dec.m using MATLAB language test in the dec.m file to write your own decomposition algorithm correctness Recon.m uses the MATLAB language to write my own Mallat reconstruction algorithm Function of the use of MATLAB language, do not call the MATLAB wavelet function, wavelet Mallat algorithm but prepare yourself for decomposition and reconstruction of signals containing noise this pair of wavelet decomposition for beginners, deepen their understanding of the wavelet decomposition has a guide role.)

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