This paper describes the implementation of two-dimensional recursive digital filters for real-time image processing. The filter structure is described by distributed arithmetic and the operations involved are memory fetches and additions. An error analysis of the twodimensional filter structure described by distributed arithmetic is outlined and the expression for the mean-squared error is deri...

Two-dimensional digital filters have gained wide acceptance in recent years. For recursive filters, nonsymmetric half-plane versions (also known as semicausal) are more general than quarter-plane versions (also known as causal) in approximating arbitrary magnitude characteristics. The major problem in designing two-dimensional recursive filters is to guarantee their stability with the expected ...

The frequency-response masking approach for highspeed recursive infinite-impulse response (IIR) digital filters is introduced. In this approach, the overall filter consists of a periodic model filter, its power-complementary periodic filter, and two masking filters. The model filters are composed of two all-pass filters in parallel, whereas the masking filters are linear-phase finite-impulse re...

Sequence estimation (SE) of narrow-band digital FM signals, such as GMSK or CPFSK, with noncoherent limiter/ discriminator (L/D) and post-lowpass filter detection, was investigated in [1]-[3]. This paper proposes a novel Turbo equalization scheme of GMSK signals, where the iterative decoding between the inner ISI decoder and the outer Recursive Systematic Convolutional (RSC) decoder has been do...

A new design method for two-dimensional (2-D) recursive digital filters is investigated. The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate neural network. The method is tested on a numerical example and compared with previously published methods when applied to the same example. Advantages of the ...

In this paper, we examine a new design method for two-dimensional (2-D) recursive digital filters using genetic algorithms (GAs). The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate GA. Theoretical results are illustrated by a numerical example. Also, comparison with the results of some previous des...

Digital signal interpolation systems can be implemented in a variety of ways. The most basic interpolation system for integer upsampling cascades an expander unit with an interpolation lowpass filter. More complex implementations can cascade multiple expander and low-pass filter pairs. There is also flexibility in the design of interpolation filters. This thesis explores how digital interpolati...

A recursive formulation of an exponential smoothing filter is developed, within the framework of a least square error approach with data uncertainties that increase exponentially with time. An efficient implementation into Java is presented. By analogy to the Kalman filter, an interpretation of the gain as a ratio of uncertainties leads to a measure of validity for the recursive exponential fil...