Performance Analysis of Manufacturing System(2)
標(biāo)簽： Manufacturing Performance Analysis System
上傳時(shí)間： 2013-12-11
上傳用戶(hù)：lwwhust
Performance Analysis of Manufacturing System
標(biāo)簽： Manufacturing Performance Analysis System
上傳時(shí)間： 2016-11-07
上傳用戶(hù)：稀世之寶039
This a GUI that manages DSP analysis functions for wav-files (e.g., speech signals). Two functions (plotps.m and spect.m) are included for starters. You may write your own functions and integrate that into the GUI without much hassle (see instructions in the accompanying readme.txt file). Additional features like the snipper lets you trim the time series and save it as a separate wav-file. The GUI is a great tool for instructors in a DSP course and DSP researchers alike!
標(biāo)簽： functions wav-files analysis manages
上傳時(shí)間： 2016-11-09
上傳用戶(hù)：從此走出陰霾
An+ensemble learning approach to independent component analysis
標(biāo)簽： independent component ensemble approach
上傳時(shí)間： 2013-11-28
上傳用戶(hù)：sdq_123
Origin 8數(shù)據(jù)處理與科學(xué)作圖 Data Analysis & Scientific Graphing
標(biāo)簽： Scientific Analysis Graphing Origin
上傳時(shí)間： 2016-11-12
上傳用戶(hù)：牧羊人8920
WB_BPSK_Analysis.rar:BPSK modulation and link analysis of UWB monocycle and doublet waveforms.Revised 1/2/05-JC.This m file plots the time and frequency waveforms for BPSK 1st and 2nd derivative equations used in UWB system analysis.
標(biāo)簽： WB_BPSK_Analysis modulation and monocycle
上傳時(shí)間： 2016-11-12
上傳用戶(hù)：邶刖
翻譯的Soft core processors and embedded processing: a survey and analysis論文，可供大家參考，
標(biāo)簽： processors processing and analysis
上傳時(shí)間： 2014-01-10
上傳用戶(hù)：a6697238
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標(biāo)簽： multimedia Semantic analysis research
上傳時(shí)間： 2016-11-24
上傳用戶(hù)：蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)蟲(chóng)
對(duì)應(yīng)分析correspondence analysis(ANACOR) [G,F,A]=ANACOR(X)，X為原始數(shù)據(jù) p X n維 即有n個(gè)樣本，每個(gè)樣本由p個(gè)變量來(lái)描述。返回F為R型因子分析后的結(jié)果，Q為最后的結(jié)果,A=ZZ 。
標(biāo)簽： ANACOR correspondence analysis 分
上傳時(shí)間： 2016-11-26
上傳用戶(hù)：wyc199288
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
標(biāo)簽： corresponding time-series predicted analysis
上傳時(shí)間： 2016-11-27
上傳用戶(hù)：cjl42111
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