Notch filters represent a method of estimating and/or tracking sinusoidal frequencies immerged in background noise. We shall refer to adaptive notch IIR filters, which make use of the RLS method. This paper presents an implementation of adaptive notch IIR filters on MOTOROLA StarCore140 DSP. We have used a modified RLS algorithm, more suitable for DSP implementation. The paper presents theoreti...

Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy...

The Discrete Fourier Transform (DFT) is a mathematical procedure that stands at the center of processing inside digital signal processor. It has been widely known and argued in relevant literature Fast (FFT) useless detecting specific frequencies monitored length N because most computed results are ignored. In this paper, we present an efficient FFT-based method to detect signal, which will the...

Recently, joint spatial–temporal signal processing has been recognized as the key to reducing the effects of the intersymbol and cochannel interference seen in very high bit-rate mobile radio communications systems. Developing hardware simulators that can simulate mobile radio propagation scenarios in time and space domains is essential for evaluating the real-time performance of spatial–tempor...

A digital fast feedback system for beam energy and position stabilization at the target of the CEBAF accelerator is capable of suppressing beam motion in the frequency band from 0 to 80 Hz and also performs narrow band suppression at the first twelve power line harmonics. The system utilizes two VME computers and runs at a 2.4 kHz sampling rate. The numerical algorithm is based on a recursive d...

This paper presents a new recursive filter to joint fault and state estimation of a linear timevarying discrete systems in the presence of unknown disturbances. The method is based on the assumption that no prior knowledge about the dynamical evolution of the fault and the disturbance is available. As the fault affects both the state and the output, but the disturbance affects only the state sy...

In this paper a module consisting of a Fast Least Mean Square (FLMS) filter is modeled and verified to eliminate acoustic echo, which is a problem for hands free communication. However the acoustic echo cancellation (AEC) is modeled using digital signal processing technique especially Simulink Blocksets. The needed algorithm code is generated in Matlab Simulink programming. At the simulation le...