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ofdm_qpsk_simulation
说明： 这是matlabR14版本的正交频分复用的仿真程序(This is matlabR14 version of orthogonal frequency division multiplexing of the simulation program)
- 2008-10-27 11:27:01下载
- 积分：1
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acmmodelnpsqianfeedback
交流电机前馈控制的matlab仿真实验，使用的控制器是PID控制器(AC motor feedforward control matlab simulation, PID controller using the controller is)
- 2011-06-28 15:48:27下载
- 积分：1
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smooth_diff
smooth different is types of filter for DSP in matalb
- 2013-10-07 20:08:51下载
- 积分：1
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work2
用matlab编写的影像处理中的加法和减法。(Prepared using matlab image processing of addition and subtraction.)
- 2008-01-04 16:48:47下载
- 积分：1
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intmain
利用matlab产生二进制调制信号波形，以实现噪声信号干扰研究(Matlab generated using the binary modulation signal waveform in order to achieve noise signal interference study)
- 2008-05-26 11:05:54下载
- 积分：1
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exercise_1
m序列产生m序列产生m序列产生m序列产生m序列产生m序列产生(m-sequence generator m sequence generation m-sequence generator m-sequence generator m sequence generation m-sequence generator)
- 2013-11-06 12:38:57下载
- 积分：1
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work3
课本ID3算法 matlab上实现课本上对天气的预测(Textbooks ID3 algorithm matlab realize)
- 2013-04-15 17:21:33下载
- 积分：1
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Rayleigh_ofdm
carrier_count= 200
bits_per_symbol = 2
symbols_per_carrier = 50
loop=10
num=5
循环次数 10
子载波数 200
位数/ 符号 2
符号数/ 载波 50
训练符号数 5
循环前缀长度 T/4
调制方式 QAM
多径信道数 2（缺省）
信道最大时延 5 (单位数据符号)
仿真条件 收发之间严格同步
一个OFDM系统 在瑞利信道环境下 包括信道估计 比较适合初学者(carrier_count = 200 bits_per_symbol = 2 symbols_per_carrier = 50 loop = 10 num = 5 10 cycles 200 of the median number of subcarriers/symbol and the number of symbols of 2 /50 of the carrier the number of training symbol cyclic prefix length of 5 T/4 modulation QAM Number of multi-path channel 2 (default) 5 channel maximum delay (in the data symbol) strict synchronization between the simulation conditions receive an OFDM system in Rayleigh channel environment, including more suitable for channel estimation beginner)
- 2010-09-30 20:55:46下载
- 积分：1
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QIHT_demo
Algorithm as described in "CoSaMP: Iterative signal recovery from
incomplete and inaccurate samples"
- 2013-08-16 21:11:34下载
- 积分：1
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particle_filter
Another particle filter implementation (by by Diego Andrés Alvarez Marín) that implements Arulampalam et. al. (2002). A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing. 50 (2). p 174--188
- 2013-08-22 00:39:45下载
- 积分：1
