FPGA Implementation of Adaptive NMLS Algorithm: Timbre Based Filtering from Multiple Harmonics using FIR Filters

Technique which is used to produce various modulated sounds with different tones. The two methods are available to achieve this i.e., Additive and Subtractive Synthesis. That can be done either composition based or by filter the analyzed harmonics from the complex waves. First is based on additive and later one is based on subtractive synthesis. The modulation of the effect in sound can be alter by using filters, equalizers. The role of harmonic is in music, physics, acoustics, e-power transmission, radio technologies etc., The Harmonic is a form of repletion of signals with various power variations with integer multiples. The actual signal is first order harmonic and the following with that is called second order, third order and higher order and so on. Recursive Least Square (RLS) is basically an adaptive based algorithm. It is used to find the channel coefficients recursively which limit the weighted, straight, least square expense work with respect to the input. RLS algorithm is having best approach than other algorithm like LMS (Least Mean Square Algorithm), NLMS (Normalized Least Mean Square Algorithm), Affine Projection Algorithm (APA). APA is the advanced version of NLMS with improved convergence rate. RLS algorithm-based filters are effectively used in Bio Medical Applications, Smart Antenna in Mobile Communications, SoC Estimation, Signal Analysis etc.