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exa080903_LOT_1D
说明: 利用子程序fast-lot.m,实现对该图像的变化及压缩,并和以为信号做dct后的图像质量相比较。(Using subroutine fast-lot.m, to achieve the changes and compression of the image, and after, and that the signals do dct compare the image quality.)
- 2011-04-06 14:44:27下载
- 积分:1
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AdaptiveEqualizationRLS_ENEE634
this file explain hoew to simulate RLS EQUALIZER on matlab .
- 2015-02-07 02:01:46下载
- 积分:1
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FSKshiyan
根据FSK调制原理
在二进制频移键控中,幅度恒定不变的载波信号的频率随着输入码流的变化而切换(称为高音和低音,代表二进制的1和0)。来做实验
(According to the principle of FSK modulation in the binary frequency shift keying, the frequency of the carrier signal amplitude constant with the change of the input stream is switched (called treble and bass, representing a binary 1 and 0). Trequinsin)
- 2012-11-26 21:30:59下载
- 积分:1
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LDA_FACE_RECOGNITION
基于LDA的人脸识别软件,malab环境。很不错。(LDA-based face recognition software, malab environment. Is pretty good.)
- 2009-03-31 20:13:56下载
- 积分:1
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Matlab
说明: 利用共軛梯度法求解線性聯立方程組 從整體來搜索最佳方向(Using conjugate gradient method for solving linear simultaneous equations to search for the best direction for the overall)
- 2010-04-14 01:55:04下载
- 积分:1
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fps
无线传感器网络协议仿真对比,死亡节点数随时间的变化对比,传输到基站的数据对比,网络能量消耗对比以及生命周期和稳定周期对比等(Wireless sensor network protocol simulation contrast, death nodes comparing the change with time, comparison of the data transmitted to the base station, network energy consumption and life cycle and the comparison and contrast stable period)
- 2013-07-24 22:49:49下载
- 积分:1
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80211a
使用matlab完成ieee 802.11a无线通信系统简化版的仿真(Using matlab to complete a simplified version of the simulation of ieee 802.11a wireless communication system)
- 2013-04-10 10:36:32下载
- 积分:1
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a
说明: 一套水文时间序列分析程序,包含去趋势,拟合,提取周期等(matlab,used for hydrogen analyse)
- 2010-09-07 23:01:11下载
- 积分:1
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ofdm_sig
this matlab code simulate about signal in wimax
- 2009-11-30 23:23:00下载
- 积分:1
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leaves-bass-algorithm
这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)
- 2012-04-11 16:00:09下载
- 积分:1