One of the efficient and most popular technique for designing sharp 1-D linear phase FIR filters is the Frequency Response Masking (FRM) approach. It is an effective method for the design of high speed , low power, sharp FIR digital filters with a small number of non-zero coefficients. Very recently, a modified McClellan transformation(T1 and T2) is proposed (JieCherng Liu and Yang-Lung Tai, 20...

The Digital notch filter and Digital comb filter most useful in eliminating annoying frequency components. In this paper the cost analysis and resource analysis of both the filters has been done with different interpolation factor. The low pass filter is used to recover original signal from its samples. This is also known as interpolation filter. The result shows that Comb filter provides an 85...

The most important part of a Digital Signal Processing or DSP is a filter which passes the desired frequency components and rejects the unwanted signals as noise. So Digital filter play an important role in DSP based communication system. Digital filter has many advantages over the analog filter. FIR filter gives linear and stable performance as compare to IIR filter. In this paper Band reject ...

Infinite Impulse Response (IIR) filter is of recursive type filter. The present output sample of an IIR filter depends on the present input samples, past input samples and past output samples. There are a number of techniques available to determine the digital IIR Filters. This paper is based on the computer based approach to design the digital IIR filter along with the calculation of filter co...

Considering the importance of real time filtering, a comparison was done between two prominent window techniques known for digital filtering. A 16 tap digital band pass FIR filter is designed for each design technique (Kaiser and Hamming) and implemented over FPGA. The Simulink model of the filter confirms the correctness and other properties of the digital filter. Further a hardware descriptiv...

In this paper, a generalised spline filter, that has a unified description for both the linear spline filter and the nonlinear robust spline filter, is proposed. Based on the M-estimation theory, the general spline filter model can be solved by using an Iterated Reweighted Least Squared method which is also general for both the linear and nonlinear spline filter. The algorithm has been verified...

Adaptive infinite impulse response (IIR) digital filter implemented using a cascade of second order direct form allpass filters and a finite impulse response (FIR) filter, has the property of its poles converging to those of the unknown system. In this paper we implement the adaptive allpass-FIR digital filter using a lattice allpass filter with minimum number of multipliers. We then derive a s...

State estimation theory is one of the best mathematical approaches to analyze variants in the states of the system or process. The state of the system is defined by a set of variables that provide a complete representation of the internal condition at any given instant of time. Filtering of Random processes is referred to as Estimation, and is a well-defined statistical technique. There are two...

It has been shown that the narrow-band (NB) interference suppression capability of a direct-sequence @S) spread spectrum system can be enhanced considerably by processing the received signal via a prediction error filter. The conventional approach to this problem makes use of a linear filter. However, the binary DS signal, that acts as noise in the prediction process, is highly non-Gaussian. Th...