In this paper, IIR polyphase filters present several interesting properties: they require a very small number of multipliers to implement, they are inherently stable and have low round off noise sensitivity and no limit cycles. Furthermore, it is possible to achieve almost linear phase designs. Pulse shaping filters have been designed and implemented by using Raised cosine filter, Nyquist filte...

a fundamental aspect of signal processing is filtering. Filtering involves the manipulation of the spectrum of a signal by passing or blocking certain portions of the spectrum, depending on the frequency of those portions. In this paper, Digital filters are designed using frequency specifications. Matlab provides different options for digital filter design, which includes function, calls to fil...

The common conviction about FIR (finite impulse response) digital filters is that the number of necessary taps, to reach the same performance as provided by IIR (infinite impulse response) digital filters, is usually too large. Moreover, the standard FIR filter design algorithm (Remez exchange) allows the design of linear-phase filters only. Therefore, IIR filters are often preferred over FIR o...

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...

a fundamental aspect of signal processing is filtering. Filtering involves the manipulation of the spectrum of a signal by passing or blocking certain portions of the spectrum, depending on the frequency of those portions. In this paper, Digital filters are designed using frequency specifications. Matlab provides different options for digital filter design, which includes function, calls to fil...

In 2-D signal processing, FIR filters are the standard choice for implementing linear shift-invariant (LSI) systems, as they retain all of the advantages of their 1-D counterparts. The same is not true in general for IIR filters. In particular, with the exception of the class of causal recursively computable filters, implementation issues for 2-D IIR filters have received little attention. More...

This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in ...

It is well-known that IIR filters can have a much lower order than FIR filters with the same performance. On the downside is that the implementation of an IIR filter is an iterative procedure while that of an FIR filter is a one-shot computation. But in higher dimensions IIR filters are definitely more attractive. We offer a technique where the filter’s performance specifications, stability con...

In this paper the problem of the frequency estimation of a sinusoid embedded in white noise is considered. The approach used herein is the minimization of the sample variance of the output of constrained notch filters fed by the noisy sinusoid. In particular, this paper focuses on closed-form expressions of the frequency estimate, which can be obtained using notch filters having an all-zeros FI...

in this paper, effect of a single narrow-band interference (NBI) on bit error rate (BER) performance for a binary phase shift keying (BPSK) synchronous direct-sequence code-division multiple access (DS CDMA) communication system operating in a frequency nonselective Rayleigh fading channel is analyzed. Second-order adaptive infinite impulse response (IIR) notch filters with plain gradient algor...