Analytical constant-modulus algorithm, to separate linear combinations of CM sourcesThe algorithm is robust in the presence of noise, and is tested on measured data, Collected from an experimental set-up.
標(biāo)簽： algorithm constant-modulus combinations Analytical
上傳時間： 2016-02-17
上傳用戶：ayfeixiao
SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to Collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.
標(biāo)簽： Service operators Delivery Platform
上傳時間： 2016-03-10
上傳用戶：zycidjl
SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to Collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.
標(biāo)簽： Service operators Delivery Platform
上傳時間： 2013-12-03
上傳用戶：yph853211
JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been Collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
標(biāo)簽： co-written functions the fifteen
上傳時間： 2014-01-26
上傳用戶：hjshhyy
NEA1803 51單片機與12864 由串口中斷收取數(shù)據(jù) 顯示經(jīng)度緯度 高度 速度 時間 使用衛(wèi)星數(shù)-GPS development NEA1803 51 SCM and 12864 Collected by the serial interrupt data show a high degree of longitude latitude speed time-use satellite
標(biāo)簽： 12864 1803 development NEA
上傳時間： 2017-08-22
上傳用戶：lepoke
有多徑信道、多普勒頻移，瑞利、RICE(萊斯)信道等仿真，QPSK調(diào)制和解調(diào)等，交織編碼。程序經(jīng)過本人測試，絕對可用，并附上本人測試說明和仿真圖像結(jié)果-I Collected information on 2, how-path channel, Doppler frequency shift, Rayleigh, RICE (Rice) channel, such as simulation, QPSK modulation and demodulation, etc., Interleaved Coded. After I tested the procedure is absolutely available, along with my test images and simulation results indicate.
上傳時間： 2015-06-16
上傳用戶：whtiger
This paper presents a Hidden Markov Model (HMM)-based speech enhancement method, aiming at reducing non-stationary noise from speech signals. The system is based on the assumption that the speech and the noise are additive and uncorrelated. Cepstral features are used to extract statistical information from both the speech and the noise. A-priori statistical information is Collected from long training sequences into ergodic hidden Markov models. Given the ergodic models for the speech and the noise, a compensated speech-noise model is created by means of parallel model combination, using a log-normal approximation. During the compensation, the mean of every mixture in the speech and noise model is stored. The stored means are then used in the enhancement process to create the most likely speech and noise power spectral distributions using the forward algorithm combined with mixture probability. The distributions are used to generate a Wiener filter for every observation. The paper includes a performance evaluation of the speech enhancer for stationary as well as non-stationary noise environment.
標(biāo)簽： Telecommunications Processing Signal for
上傳時間： 2020-06-01
上傳用戶：shancjb
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza- tion techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data Collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies. However, the smart grid fi rst depends upon identifying and researching key performance measures, designing and testing appropriate tools, and developing the proper education curriculum to equip current and future personnel with the knowledge and skills for deployment of this highly advanced system.
上傳時間： 2020-06-07
上傳用戶：shancjb
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
上傳時間： 2020-06-10
上傳用戶：shancjb
Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely Collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.
標(biāo)簽： Technologies Healthcare Learning Machine
上傳時間： 2020-06-10
上傳用戶：shancjb
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