This paper presents a simulator that efficiently generates correlated complex Gaussian variates with a power spectral density as described by Jakes in [1]. The simulator consists of a fixed IIR filter followed by a variable polyphase interpolator, to accommodate different Doppler rates. The IIR filter was designed using an iterative optimization technique known as the ellipsoid algorithm, follo...

-This paper proposes a solution methodology for the design of optimal and stable digital infinite impulse response (IIR) band pass (BP) filter by employing the cat swarm optimization (CSO) algorithm with the incorporation of oppositional learning strategy. The error surface of digital IIR filters is non linear and multimodal because of the presence of the denominator terms. Therefore, the tradi...

In this paper we examine the orthogonal wavelet decomposition of ECG signal obtained using computationally efficient IIR perfect reconstruction quadrature-mirror filter (QMF) banks. The decomposition is done using the lowpass branch iterated filter banks. The fifth order Butterworth and elliptic filters are employed. IIR filters’ polyphase components are two real all-pass structures of the firs...

In this paper an approach to adaptive IIR ltering based on a pseudo-linear regression and applying an iterative QR matrix decomposition is developed. In simulations, the algorithm has shown a high stability and excellent convergence properties. The derivation of the IIR-QR adaptive lter is straightforward and the computational complexity of the algorithm is comparable to the FIR-QR adaptive alg...

An improved Infinite Impulse Response (IIR) Least Mean Squares (LMS) algorithm using parallel filters and evolutionary programming techniques is introduced. IIR filters have the attractive property that they require fewer computations than a corresponding FIR filter, but they are prone to instability and local minimum problems. Evolutionary algorithms are good in global optimization scenarios, ...

System identification using infinite-impulse-response (IIR) model is considered. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are preferred in order to avoid local minima. An efficient global optimisation method, called the adaptive simulated annealing (ASA), is adopted, and a new batch-recursive ASA algorithm is developed for on-line identif...

We propose a new way of performing stable and more efficient F − X wavefield extrapolation for the application of seismic imaging and datuming via Infinite Impulse Response (IIR) F − X filters. To prove the concept, we used model reduction techniques to design the complex-valued IIR F −X extrapolation filters. Simulation results indicate that we can obtain stable designs using the proposed filt...

In this paper we investigate various subband AEC systems in real handsfree situation, including FIR and IIR analysis and synthesis QMF filterbanks in polyphase structure. The adaptation in the subbands is performed by the Affine Projection Algorithm in comparison to the NLMS algorithm. The IIR filters are superior to FIR filters in the sense that they lead to low signal delay and sharp frequenc...

This paper considers self-tuning blind identification and equalization of fractionally spaced IIR channels. One recursive estimator is used to generate parameter estimates of the numerators of IIR systems, while the other estimates denominator of IIR channel. Equalizer parameters are calculated by solving Bezout type equation. It is shown that the numerator parameter estimates converge (a.s.) t...

Halfband lowpass and bandpass filters, versatile building blocks in a multitude of DSP applications, are revisited. Linear-phase FIR and minimum-phase IIR halfband filters for sample rate alteration are recalled, their computational loads are compared, and optimum signal flow graphs are presented. The same comparisons are carried out for corresponding complex halfband filters (Hilbert-transform...