Design of Multichannel AP-DCD Algorithm using Matlab
نویسنده
چکیده
This paper presented design of a low complexity multichannel affine projection (AP) algorithm using Dichotomous Coordinate descent(DCD) iterations. The computational complexity of this proposed algorithm is analyzed, and it is shown through simulation that the new multichannel algorithm not only provides the same performance as affine projection algorithm, it could also be implemented in hardware. It is expected that the new algorithm will consume less memory and power because it requires less number of multiplications and additions. The performance of the multichannel AP-DCD algorithm depends on the number of updates. When the number of update (Nu) increases, the performance of the multichannel AP-DCD algorithm provides the same performance as AP algorithm. Furthermore, to offering a good convergence speed, the new algorithm provides the expected tradeoff between convergence performance and computational complexity.
منابع مشابه
Low 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 کاملPULSAR: A MATLAB Toolbox for Parallel Magnetic Resonance Imaging Using Array Coils and Multiple Channel Receivers
Partial parallel imaging (PPI) techniques using array coils and multichannel receivers have become an effective approach to achieving fast magnetic resonance imaging (MRI). This article presents a Matlab toolbox called PULSAR (Parallel imaging Utilizing Localized Surface-coil Acquisition and Reconstruction) that can simulate the data acquisition and image reconstruction, and analyze performance...
متن کاملOPTIMAL DESIGN OF TUNNEL SUPPORT LINING USING MCBO ALGORITHM
In this paper, a systematic approach is presented for optimal design of tunnel support lining using two-dimensional finite element analysis models of soil-structure interaction developed in ABAQUS software and the Modified Colliding Bodies Optimization (MCBO) algorithm implemented in MATLAB environment. This approach is then employed to study the influence of variable geometrical and geo-mechan...
متن کاملOptimal Design of Open Channel Sections Using PSO Algorithm
This paper applies an evolutionary algorithm, the particle swarm optimization (PSO), to design the optimum open channel section. Depth, channel side slope and bottom width are considered as the variables for rectangular, triangular and trapezoidal channels, respectively. The objective function is minimizing the construction cost of the channel section. MATLAB software is used for programming an...
متن کاملDesign of the Compact Ultra-Wideband (UWB) Antenna Bandwidth Optimization Using Particle Swarm Optimization Algorithm
In this paper a particle swarm optimization (PSO) algorithm is presented to design a compact stepped triangle shape antenna in order to obtain the proper UWB bandwidth as defined by FCC. By changing the various cavity dimensions of the antenna, data to develop PSO program in MATLAB is achieved. The results obtained from the PSO algorithm are applied to the antenna design to fine-tune the bandwi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010