Mitigation of Non-linear Distortion Using PTS and IDAR Method for Multi-Level QAM-OFDM System
標簽： Multi-Level Mitigation Distortion Non-linear
上傳時間： 2014-11-26
上傳用戶：wff
two methods of calculating eucledian distance are shown in the m files
標簽： calculating eucledian distance methods
上傳時間： 2017-04-18
上傳用戶：ztj182002
The purpose of this project is to explore the issues and implementation of a multiple instruction stream, single data stream processor. We are running two instruction streams on two CPUs which share an address space. The processors share a second level cache, and maintain coherence at the L1 cache with a write-invalidate policy. The L2 cache is two-way set associative, with a block size of 8 words, and a total capacity of 512 words.
標簽： implementation instruction multiple purpose
上傳時間： 2017-04-18
上傳用戶：731140412
Computing the addition of two 8-bit numbers and display the result in an output port.-Target PIC16F877A
標簽： Computing the addition numbers
上傳時間： 2017-04-19
上傳用戶：ukuk
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
標簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
three phase three swutch three level vienna PWM rectifier
標簽： three rectifier swutch vienna
上傳時間： 2014-01-06
上傳用戶：lanwei
Face Recognition Library ======================== Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users. Please register here for only $299 with Source Code : http://www.research-lab.com/facerecognitionorder.htm (c) www.research-lab.com
標簽： Recognition recognition Advanced Library
上傳時間： 2017-04-25
上傳用戶：784533221
A matlab source code to obtain image stitcing of two images using bilinear interpolation
標簽： interpolation bilinear stitcing matlab
上傳時間： 2017-04-28
上傳用戶：koulian
Fanatstic, outstanding VGA driver for vertex two.This is the bomb.
標簽： outstanding Fanatstic driver vertex
上傳時間： 2013-12-23
上傳用戶：plsee
This is trigonomitry f-ns program. Base school level.
標簽： trigonomitry program school level
上傳時間： 2017-05-01
上傳用戶：royzhangsz
