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NLMS
本文对变步长(VSS) 自适应滤波算法进行了分析,针对输入信号高度相关时算法收敛速度下降导致性能下降
的问题,提出了一种解相关变步长归一化LMS 自适应算法,引入相关性原理,使得算法保持良好的收敛性能。计算机仿真
结果与理论分析相一致(In this paper , we discuss and analyze the variable step2size adaptive algorithm(VSSLMS) ,in which the descent
of it s convergence speed leads to the reduction of performance when input signals are heavily correlated . As a result , we
propose an uncorrelated variable step2size normalized LMS adaptive algorithm. Due to the principle of correlation ,the algo2
rithm can achieve good performance. The simulations agree to the theoretical analysis.)
- 2011-08-18 19:49:44下载
- 积分：1
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signal_LFM
用matlab编写雷达发射的线性调频信号(Written by radar chirp signal with matlab)
- 2013-12-22 14:57:46下载
- 积分：1
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bata
双稳态随机共振的参数寻优算法，先固定b，寻求a，画出随a的信噪比增益变化曲线(Parameter stochastic resonance algorithm)
- 2020-10-29 19:39:56下载
- 积分：1
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FIR-digital-filter
用窗函数（矩形窗、汉宁窗、海明窗和布莱克曼窗）法设计FIR数字滤波器(Using the window function (rectangular window and hanning window, hamming window and blackman window) method to design FIR digital filter)
- 2016-05-04 15:17:25下载
- 积分：1
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pulizia
Clean the Matlab s Workspace
- 2011-09-14 18:55:39下载
- 积分：1
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Matlab-command-Daquan
介绍Matlab的相关命令以及相关用法，可以把它看作一个工具书(Introduction of Matlab commands and related usage, you can think of it as a tool)
- 2013-05-23 04:15:19下载
- 积分：1
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kensun_v65
实现了对10个数字音的识别程序通过虚拟阵元进行DOA估计，BP神经网络用于函数拟合与模式识别。( Realization of 10 digital audio recognition program Conducted through virtual array DOA estimation, BP neural network function fitting and pattern recognition.)
- 2016-12-22 18:38:50下载
- 积分：1
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LEARNMATLAB7
对初学matlab的有很大帮助
认真学应该能学好(right novice Matlab great help learning, we should be able to learn)
- 2007-03-17 10:22:29下载
- 积分：1
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Chapter 3 (The Reinforcement Learning Problem)
suntton强化学习第三章代码 (The Reinforcement Learning Problem)(The Reinforcement Learning Problem)
- 2020-10-24 18:50:01下载
- 积分：1
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JSIP_2013081510281570
This paper investigates the generalized Pars ’s theorem of fractional Fourier transform (FRFT) for concentrated data. Also, in the framework of multiple FRFT domains, Pars ’s theorem reduces to an inequality with lower and upper bounds associated with FRFT parameters, named as generalized Pars ’s theorem by us. These results theoretically provide potential valuable applications in filtering, and examples of filtering for LFM signals in FRFT domains are demonstrated to support the derived conclusions
- 2015-02-21 10:20:28下载
- 积分：1
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