Computes all eigenvalues and eigenvectors of a real symmetric matrix a, ! which is of size n by n, stored in a physical np by np array. ! On output, elements of a above the diagonal are destroyed. ! d returns the eigenvalues of a in its first n elements. ! v is a matrix with the same logical and physical dimensions as a, ! whose columns contain, on output, the normalized eigenvectors of a. ! nrot returns the number of Jacobi rotations that were required. ! Please notice that the eigenvalues are not ordered on output. ! If the sorting is desired, the addintioal routine "eigsrt" ! can be invoked to reorder the output of jacobi.
上傳時(shí)間： 2016-06-04
上傳用戶：1512313
前言：My journey to learn and better understand Linux began back in 1998. I had just installed my first Linux distribution and had quickly become intrigued with the whole concept and philosophy behind Linux. 這是英文原版的很清晰，希望能幫助到對(duì)linux感興趣的朋友。
標(biāo)簽： Linux From Scratch
上傳時(shí)間： 2018-11-18
上傳用戶：jieren002
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
標(biāo)簽： recognition Bi-density machines support pattern vector twin for
上傳時(shí)間： 2019-06-09
上傳用戶：lyaiqing
I saw the light of the future when I first read Ray Kurzweil’s best-seller book The Singularity Is Near: When Humans Transcend Biology. One cubic inch of nanotube cir- cuitry, once fully developed, would be up to one hundred million times more powerful than the human brain.
標(biāo)簽： Predictive Cognitive Warning System Early The
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
In recent years, cellular voice networks have transformed into powerful packet-switched access networks for both voice communication and Internet access. Evolving Universal Mobile Telecommunication System (UMTS) networks and first Long Term Evolution (LTE) installations now deliver bandwidths of several megabits per second to individual users, and mobile access to the Internet from handheld devices and notebooks is no longer perceived as slower than a Digital Subscriber Line (DSL) or cable connection. Bandwidth and capacity demands, however, keep rising because of the increasing number of people using the networks and because of bandwidth-intensive applications such as video streaming. Thus, network manufacturers and network operators need to find ways to continuously increase the capacity and performance of their cellular networks while reducing the cost.
標(biāo)簽： BRINGING NETWORKS Beyond and 3G 4G
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
A decade ago, I first wrote that people moved, and networks needed to adapt to the reality that people worked on the go. Of course, in those days, wireless LANs came with a trade-off. Yes, you could use them while moving, but you had to trade a great deal of throughput to get the mobility. Although it was possible to get bits anywhere, even while in motion, those bits came slower. As one of the network engineers I worked with put it, “We’ve installed switched gigabit Ethernet everywhere on campus, so I don’t understand why you’d want to go back to what is a 25-megabit hub.” He un- derestimated the allure of working on the go.
標(biāo)簽： Survival 802.11 Guide
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Without conceding a blemish in the first edition, I think I had best come clean and admit that I embarked on a second edition largely to adopt a more geometric approach to the detection of signals in white Gaussian noise. Equally rigorous, yet more intuitive, this approach is not only student-friendly, but also extends more easily to the detection problem with random parameters and to the radar problem
標(biāo)簽： Communication Foundation Digital in
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of three sequentially complementary approaches for increasing the probability of target detection within at least some of the cells of the surveillance volume for a spatially nonGaussian or Gaussian “noise” environment that is temporally Gaussian. This approach, identified in the Preface as Approach A, partitions the surveillance volume into homogeneous contiguous subdivisions.
標(biāo)簽： Receivers Adaptive Antennas and
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
YoumayaskwhyIwrotethisbook.Therearemany,manypersonalreasonsaswithanyauthor I suppose. The first two reasons and probably the most important are my love of flying and my love of radio engineering. This may sound rather dull but I love flying in any machine be it balloon, glider, propeller aircraft, microlight through to airline jets and the experience of it. The more I do it the more I feel I understand it.
標(biāo)簽： Communication Aeronautical Systems Radio
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
One traditional view of how wireless networks evolve is of a continuous, inevitable progres- sion to higher link speeds, combined with greater mobility over wider areas. This standpoint certainly captures the development from first and second generation cellular systems focused on voice support, and the early short-range wireless data networks, through to today’s 3G cellular and mobile broadband systems; there is every confidence that the trend will continue some way into the future.
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
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