Optimization of LMS Algorithm for Adaptive Filtering using Global Optimization Techniques

Improved Cuckoo Search Algorithm for Global Optimization

The cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. To enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. Normally, the parametersof the cuckoo search are kept constant. This may lead todecreasing the efficiency of the algorithm. To cop...

Adaptive linear filtering using interior point optimization techniques

Optimization of LMS Algorithm for System Identification

An adaptive filter is defined as a digital filter that has the capability of self adjusting its transfer function under the control of some optimizing algorithms. Most common optimizing algorithms are Least Mean Square (LMS) and Recursive Least Square (RLS). Although RLS algorithm perform superior to LMS algorithm, it has very high computational complexity so not useful in most of the practical...

Adaptive Filtering: Standard LMS vs. Darwinian Algorithm

In this paper we concentrate on the problem of comparing the effectiveness of the Darwinian, and Least Square methods, with the influence of the input signal (statistics) spreadness highlighted. Our approach in this paper is to carry out an extensive suite of simulations for both the Darwinian algorithm and LMS algorithm under varying initial conditions and eigenvalue spread of the signal autoc...

Throughput Optimization Using Adaptive Techniques

We present a mathematical framework for maximization of single user throughput in a wireless channel using the symbol rate, the packet length, and the constellation size of MQAM modulation as optimization variables. The throughput is defined as the number of bits per second correctly received. Trade-offs between the throughput and the communication range are observed, and equations are derived ...