Low Complexity Farrow Differential Channelizer Algorithm
نویسندگان
چکیده
منابع مشابه
Low Complexity Farrow Differential Channelizer Algorithm
Reduction in hardware complexities is vital in communication. The major contribution to hardware complexity in many technologies is the multiplier utilized. This work present a proposed algorithm based on Farrow differential polynomial interpolation. This interpolator filter is a time varying poly-phase filter that uses fractional delay to reduce the integer sampling rates to fractional rates. ...
متن کاملON FUZZY NEIGHBORHOOD BASED CLUSTERING ALGORITHM WITH LOW COMPLEXITY
The main purpose of this paper is to achieve improvement in thespeed of Fuzzy Joint Points (FJP) algorithm. Since FJP approach is a basisfor fuzzy neighborhood based clustering algorithms such as Noise-Robust FJP(NRFJP) and Fuzzy Neighborhood DBSCAN (FN-DBSCAN), improving FJPalgorithm would an important achievement in terms of these FJP-based meth-ods. Although FJP has many advantages such as r...
متن کاملLow Complexity and High speed in Leading DCD ERLS Algorithm
Adaptive algorithms lead to adjust the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor when there are a lot of changes in the system. Vedic mathematics is used to implement the multiplier and the divider in the VFF equatio...
متن کاملLow complexity differential geometric computations
In this thesis, we consider the problem of fast and efficient indexing techniques for time sequences which evolve on manifold-valued spaces. Using manifolds is a convenient way to work with complex features that often do not live in Euclidean spaces. However, computing standard notions of geodesic distance, mean etc. can get very involved due to the underlying non-linearity associated with the ...
متن کاملLow complexity MIMO detection algorithm
The multi antenna systems offer a much larger channel capacity than the traditional single antenna systems. The price which has to be extra paid is detection complexity. In this paper we examine performance of the low complexity algorithm called zero forcing–maximum likelihood (ZFML) [5]. We find this algorithm appropriate for MIMO (Multiple Input Multiple Output) systems using more receive tha...
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: Communications on Applied Electronics
سال: 2015
ISSN: 2394-4714
DOI: 10.5120/cae-1571