介紹kalman（卡爾曼）濾波器的英文文章 Kalman Filtering:Theory and Practice Using MATLAB, Second Edition
標簽： Filtering Practice Edition kalman
上傳時間： 2015-04-30
上傳用戶：釣鰲牧馬
LVQ學習矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.
標簽： implementing quantization directory Learning
上傳時間： 2015-05-02
上傳用戶：hewenzhi
Simon Hayin的"Adpative Filter Theory"-自適應濾波第4版的所有仿真代碼matlab語言版。
標簽： Adpative Filter Theory matlab
上傳時間： 2014-11-27
上傳用戶：CSUSheep
射頻電路設計：理論與應用：theory and applications 全部源代碼
標簽： applications theory and 射頻
上傳時間： 2015-05-17
上傳用戶：我干你啊
Learning the bash Shell, 3rd Edition 關于bash Shell介紹的很全面
標簽： Shell bash Learning Edition
上傳時間： 2013-12-15
上傳用戶：koulian
How to Think Like a Computer Scientist Learning with Python 學習linux下Python腳本的必備書籍
標簽： Python Scientist Computer Learning
上傳時間： 2014-10-29
上傳用戶：heart520beat
This package implements a Kalman filter as described in the paper "A Statistical Algorithm for Estimating Speed from Single Loop Volume and Occupancy Measurements" by D. J. Dailey.
標簽： Statistical implements Algorithm described
上傳時間： 2013-12-12
上傳用戶：cc1915
learning the kalman filter (Matlab Code)
標簽： learning kalman filter Matlab
上傳時間： 2015-06-07
上傳用戶：wab1981
Shannon s general theory of communication(1991)，pdf格式，對大家學習通信比本理論和信息論有很大幫助。
標簽： communication Shannon general theory
上傳時間： 2014-01-02
上傳用戶：1079836864
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
標簽： Single-layer algorithms best-known networks
上傳時間： 2015-06-17
上傳用戶：趙云興
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