AC-DC Converter using a three-phase three-level PWM Voltage-sourced Converter
標簽： Converter Voltage-sourced three-phase three-level
上傳時間： 2013-12-16
上傳用戶：來茴
INTERFACES FOR DIGITAL COMPONENT VIDEO SIGNALS IN 525-LINE AND 625-LINE TELEVISION SYSTEMS OPERATING AT THE 4:2:2 LEVEL OF RECOMMENDATION ITU-R BT.601 (PART A)
標簽： LINE INTERFACES TELEVISION COMPONENT
上傳時間： 2013-12-14
上傳用戶：xiaoxiang
The module includes three sub_module:FDivider128,generates the 1/128 frequency, MD_Counter8Zero, generates the flute when the posedge, MD_Counter8One,generates the flute when the negedge.The aim of the module is to generate the mended miller code to be the source of the MillerDecode. 輸入的數據以下降沿采樣，有效輸入范圍為上升沿前一點，輸入數據包括1 b0+有效數據+1 b0 Operating Rule: R_DATAUNCODE must be synchronous with R_ACTIVE
標簽： MD_Counter sub_module 128 generates
上傳時間： 2013-12-30
上傳用戶：Miyuki
Excel spreadsheet allowing calculation of the best R-C-C component values on the PLL Loop Back Filter.
標簽： spreadsheet calculation component the
上傳時間： 2016-05-29
上傳用戶：plsee
// This Communications Component is implemented using separate Read and Write // threads. Messages from the threads are posted to the Comm control which is // an invisible window. To handle data from the comm port, simply // attach a handler to OnReceiveData . There is no need to free the memory // buffer passed to this handler. If TAPI is used to open the comm port, some // changes to this component are needed ( StartComm currently opens the comm // port). The OnRequestHangup event is included to assist this. // // David Wann // Stamina Software // 28/02/96 // davidwann@hunterlink.net.au
標簽： Communications implemented Component Messages
上傳時間： 2016-05-30
上傳用戶：zhangyigenius
A MATLAB-based three-dimensional viewer
標簽： three-dimensional MATLAB-based viewer
上傳時間： 2016-06-05
上傳用戶：liuchee
Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the separation of simulation program
標簽： the environment independent component
上傳時間： 2014-08-10
上傳用戶：shinesyh
獨立分量分析(Independent Component Analysis，簡稱ICA)是近二十年來逐漸發展起來的一種盲信號分離方法。它是一種統計方法，其目的是從由傳感器收集到的混合信號中分離出相互獨立的源信號，使得這些分離出來的源信號之間盡可能獨立。它在語音識別、電信和醫學信號處理等信號處理方面有著廣泛的應用，目前已成為盲信號處理，人工神經網絡等研究領域中的一個研究熱點。 本文簡要的闡述了ICA的發展、應用和現狀，詳細地論述了ICA的原理及實現過程，系統地介紹了目前幾種主要ICA算法以及它們之間的內在聯系，在此基礎上重點分析了一種快速ICA實現算法一FastICA。 物質的非線性熒光譜信號可以看成是由多個相互獨立的源信號組合成的混合信號，而這些獨立的源信號可以看成是光譜的特征信號。為了更好的了解光譜信號的特征，本文利用獨立分量分析的思想和方法，提出了利用FastICA算法提取光譜信號的特征的方案，并進行了仿真實驗。
標簽： Independent Component Analysis 分
上傳時間： 2013-12-20
上傳用戶：yan2267246
pca人臉識別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標簽： implements Principal Component Analysis
上傳時間： 2014-01-03
上傳用戶：佳期如夢
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：trepb001
