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DSPandMATLAB
说明： 本人收集的一些关于DSP与matlab编程的资料，有用matlab产生DSP代码的实例，希望对大家有很大帮助(I collected some information on DSP and matlab programming information useful matlab generate DSP code examples, I hope everyone has a lot of help)
- 2008-08-31 18:44:26下载
- 积分：1
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MIMO_capacity_EP1
This program calculates the capacity of MIMO system in IID channel model and plot the graph.The graph is plotted with out least square curve fit.
- 2010-09-18 11:31:07下载
- 积分：1
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Writing_Fast_MATLAB_Code
very nice tutorial to speed up the matlab codes by vectorization, etc.
- 2009-05-26 04:29:27下载
- 积分：1
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wavelet
说明： 基于小波系数块能量分析的自适应数字水印算法(Energy analysis based on wavelet coefficients of adaptive digital watermarking algorithm)
- 2010-05-03 10:30:13下载
- 积分：1
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kalman_filter_pid_3
基于KALMAN滤波的PID整定 有文字说明 是应用对象(Kalman filtering based on the PID tuning text description is the application of object)
- 2007-05-05 11:50:09下载
- 积分：1
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EXIT
Exit Chart with advance plot in matlab
- 2014-09-22 00:11:59下载
- 积分：1
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hill-cipher-matlab-encryption-and-decryption-code
Hill cipher encryption and decryption matlab code
- 2012-08-13 21:40:45下载
- 积分：1
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baseband
产生一个长为1000的二进制随机序列，“0”的概率为0.8，”1”的概率为0.2；
对上述数据进行归零AMI编码，脉冲宽度为符号宽度的50 ，波形采样率为符号率的8倍，画出前20个符号对应的波形（同时给出前20位信源序列）
改用HDB3码，画出前20个符号对应的波形
改用密勒码，画出前20个符号对应的波形
分别对上述1000个符号的波形进行功率谱估计，画出功率谱
改变信源“0”的概率，观察AMI码的功率谱变化情况(A length of 1000 random binary sequence, and " 0" with a probability of 0.8, " 1" with a probability of 0.2 the AMI code above zero, the pulse width of the symbol width of 50 , the waveform sampling rate Symbol rate 8 times, draw the top 20 of the waveform corresponding to the symbol (the first 20 and gives the source sequence) switch HDB3 code, the first 20 to draw a waveform corresponding to the symbol to switch Miller code, the first 20 symbols correspond to draw The waveforms of the symbol of the waveform 1000 power spectrum estimation, shown to change the source power spectrum " 0" , the probability of observation of the power spectrum of AMI code changes)
- 2013-11-12 21:16:38下载
- 积分：1
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development-risk-prediction
本文基于BP神经网络应用于预测的原理，提出预测步骤及预测可行性，探讨建立基于BP神经网络的预测模型的关键技术，包括样本的选取与预处理、输入输出变量的选取、隐层节点数的确定、初始权值和阈值的选取、激活函数、训练算法与参数的选取，最后建立合理的网络模型；结合住宅市场的实际情况，建立两类BP 神经网络预测模型：基于时间序列的趋势预测模型以及基于影响因素的回归预测模型，即分别采用神经网络趋势预测和回归预测的思路，把住宅市场的供给、需求与房价的历年数据以及其影响因素的数据分别作为学习样本，建立预测模型，进行预测。(Real estate development risk prediction
)
- 2011-04-22 10:40:30下载
- 积分：1
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CR-MATLAB
认知无线中 能量检测的MATLAB仿真代码(Detection of cognitive radio in the MATLAB simulation of the energy code)
- 2010-05-30 01:59:16下载
- 积分：1
