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vectors

  • 復(fù)接入

    復(fù)接入，B/W雙用戶使用直接擴(kuò)頻序列 ％ >>>multiple access b/w 2 users using DS CDMA ％ >>>format is : cdmamodem(user1,user2,snr_in_dbs) ％ >>>user1 and user2 are vectors and they should be of equal length ％ >>>e.g. user1=[1 0 1 0 1 0 1] , user2=[1 1 0 0 0 1 1],snr_in_dbs=-50 ％ >>>or snr_in_dbs=50 just any number wud do ％ Waqas Mansoor ％ NUST , Pakistan

    標(biāo)簽：

    上傳時(shí)間： 2014-11-22

    上傳用戶：zl5712176

  • Convolutional binary rate 1/3 nonsystematic code Dfree=16 K=7 (trellis length = 8) Connection

    Convolutional binary rate 1/3 nonsystematic code Dfree=16 K=7 (trellis length = 8) Connection vectors (from K. J. Larsen):

    標(biāo)簽： Convolutional nonsystematic Connection trellis

    上傳時(shí)間： 2014-01-22

    上傳用戶：181992417

  • TMS320-DSP-vectors

    基于C語言設(shè)置TMS320 DSP中斷向量表(4KB) - Complete

    標(biāo)簽： DSP-vectors TMS 320

    上傳時(shí)間： 2016-05-04

    上傳用戶：FUCYOUR

  • Guide to Convolutional Neural Networks

    General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradient boosting, random forest and support vector machines that are able to accurately model nonlinear decision boundaries. Hence, solving a computer vision problem mainly depends on the feature extraction algorithm

    標(biāo)簽： Convolutional Networks Neural Guide to

    上傳時(shí)間： 2020-06-10

    上傳用戶：shancjb

  • Digital.Image.Processing.

    This edition of Digital Image Processing is a major revision of the book. As in the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008 editions by Gonzalez and Woods, this sixth-generation edition was prepared with students and instructors in mind. The principal objectives of the book continue to be to provide an introduction to basic concepts and methodologies applicable to digital image processing, and to develop a foundation that can be used as the basis for further study and research in this field. To achieve these objectives, we focused again on material that we believe is fundamental and whose scope of application is not limited to the solution of specialized problems. The mathematical complexity of the book remains at a level well within the grasp of college seniors and first-year graduate students who have introductory preparation in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. The book website provides tutorials to support readers needing a review of this background material

    標(biāo)簽： Processing Digital Image

    上傳時(shí)間： 2021-02-20

    上傳用戶：

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