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LMS
说明： 实现lms实现lms实现lms实现lms实现lms实现lms(carry out lmscarry out lmscarry out lmscarry out lmscarry out lms)
- 2011-03-05 21:27:17下载
- 积分：1
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buildSpyr
This is a program to compute the levels of image pyramid softwares and then compare their similarities
- 2020-11-23 16:49:34下载
- 积分：1
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matlabGUI
该文件包含图像处理的常用的图像处理工具箱，较适合没有MATLAB基础的人员入门学习，该文件包含实例和常用函数的解释(This document contains commonly used image processing Image Processing Toolbox, MATLAB no more suitable for entry-based learning staff, the document contains examples and explanation of commonly used functions)
- 2009-04-25 14:44:48下载
- 积分：1
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cs1t
三维ising模型适合没有结构文件需要自己根据实际机构编写(ising model)
- 2011-10-14 16:35:33下载
- 积分：1
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PPI_plot
plan position indicator by matlab
for radar application in detection by elecromagnetic wives
- 2014-02-19 02:53:06下载
- 积分：1
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sisodecode
说明： 软入软出译码算法实现 (SISO （soft input ，soft output） )
- 2010-04-26 10:23:21下载
- 积分：1
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wurane2e
指出了城市的主要污染物长期以来对城市居民造成了直接的危害，为更好地反映其污染变化趋势、加强污染防治工作和预防严重污染事件的发生，研究了污染预测方法，开展了污染预报工作。借助于MATLAB极强的非线性处理能力，来解决大气环境主要污染物自身复杂多变的问题，探讨了将MATLAB技术应用到空气污染的主份因子分析及预测领域中。(Pointed out that the city has long been the main pollutants of urban residents a direct harm, to better reflect its pollution trends, strengthen the prevention and control of pollution and prevention of serious pollution incidents, to study the pollution prediction method, carried out pollution forecast work. MATLAB help of strong nonlinear processing capabilities to solve complex atmospheric environment of major pollutants own issues discussed will be applied to the master copies of MATLAB technical factor analysis and forecasting in the field of air pollution.)
- 2014-01-19 16:43:06下载
- 积分：1
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123bp
应用bp神经网络进行分类的实例，很简单适合初学者。(Application of bp neural network to classify instances, is very simple for beginners.)
- 2014-11-06 16:29:05下载
- 积分：1
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FIR
1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)，
干扰为sin(2π×f2×n/fs)；序列长度为100个样点。
其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。
2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。
3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。
(1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)
- 2013-12-05 14:53:23下载
- 积分：1
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MELP_m
语音混合编码melp（混合激励线性预测）算法的matlab实现(use matlab to implement melp)
- 2009-03-20 10:51:01下载
- 积分：1
