5 citations · 9 across the 6 of their papers we have counts for
6 papers
A Low Complexity Block-oriented Functional Link Adaptive Filtering Algorithm
Pavankumar Ganjimala, Subrahmanyam Mula
The high computation complexity of nonlinear adaptive filtering algorithms poses significant challenges at the hardware implementation level. In order to tackle the computational c…
A Family of Constrained Adaptive filtering Algorithms Based on Logarithmic Cost
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
This paper introduces a novel constraint adaptive filtering algorithm based on a relative logarithmic cost function which is termed as Constrained Least Mean Logarithmic Square (CL…
Proportionate Adaptive Filtering under Correntropy Criterion in Impulsive Noise Environments
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
An improved proportionate adaptive filter based on the Maximum Correntropy Criterion (IP-MCC) is proposed for identifying the system with variable sparsity in an impulsive noise en…
Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification
Subrahmanyam Mula, Vinay Chakravarthi Gogineni, Anindya Sundar Dhar
This paper investigates the problem of implementing proportionate-type LMS family of algorithms in hardware for sparse adaptive filtering applications especially the network echo c…
VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing
B. K. N. Srinivasarao, Vinay Chakravarthi Gogineni, Subrahmanyam Mula +1
This paper presents a new VLSI friendly framework for scalable video coding based on Compressed Sensing (CS). It achieves scalability through 3-Dimensional Discrete Wavelet Transfo…
Convergence Analysis of Proportionate-type Least Mean Square Algorithms
Vinay Chakravarthi Gogineni, Subrahmanyam Mula
In this paper, we present the convergence analysis of proportionate-type least mean square (Pt-LMS) algorithm that identifies the sparse system effectively and more suitable for re…