Projection wavelet weighted twin support vector regression for OFDM system channel estimation
نویسندگان
چکیده
منابع مشابه
channel estimation for mimo-ofdm systems
تخمین دقیق مشخصات کانال در سیستم های مخابراتی یک امر مهم محسوب می گردد. این امر به ویژه در کانال های بیسیم با خاصیت فرکانس گزینی و زمان گزینی شدید، چالش بزرگی است. مقالات متعدد پر از روش های مبتکرانه ای برای طراحی و آنالیز الگوریتم های تخمین کانال است که بیشتر آنها از روش های خاصی استفاده می کنند که یا دارای عملکرد خوب با پیچیدگی محاسباتی بالا هستند و یا با عملکرد نه چندان خوب پیچیدگی پایینی...
A weighted twin support vector regression
Twin support vector regression (TSVR) is a new regression algorithm, which aims at finding -insensitive upand down-bound functions for the training points. In order to do so, one needs to resolve a pair of smaller-sized quadratic programming problems (QPPs) rather than a single large one in a classical SVR. However, the same penalties are given to the samples in TSVR. In fact, samples in the di...
متن کاملChannel Estimation and CFO Compensation in OFDM System Using Adaptive Filters in Wavelet Transform Domain
Abstarct In this paper, combination of channel, receiver frequency-dependent IQ imbalance and carrier frequency offset estimation under short cyclic prefix (CP) length are considered in OFDM system. An adaptive algorithm based on the set-membership filtering (SMF) algorithm is used to compensate for these impairments. In short CP length, per-tone equalization (PTEQ) structure is used to avoid i...
متن کاملRobust Wavelet Support Vector Machine for Regression Estimation
As we know, M-estimation as objective function can be used to tackle this problem that the performance of wavelet network (WN) is affected by gross error severely, but its influence function is determined by the absolute value of residual, so a key problem is how to choose initial parameters. In this paper combining robust estimation with wavelet support vector machine (WSVM), a robust wavelet ...
متن کاملReduced twin support vector regression
Wepropose the reduced twin support vector regressor (RTSVR) that uses the notion of rectangular kernels to obtain significant improvements in execution time over the twin support vector regressor (TSVR), thus facilitating its application to larger sized datasets. & 2011 Elsevier B.V. All rights reserved.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Intelligence Review
سال: 2020
ISSN: 0269-2821,1573-7462
DOI: 10.1007/s10462-020-09853-2