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...

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...

The essence of finite impulse response (FIR) digital filter design is the problem of the parameter optimization. Namely the optimal parameters of FIR digital filter are the core of the design. In due to the traditional design method of FIR digital filter is not only accuracy not high but also sideband frequency is difficult to determine. Improve Weight Particle Swarm Optimization (IWPSO) to des...

This paper presents the swarm intelligence (SI)-based particle swarm optimisation (PSO) in context of designing infinite-impulse response (IIR) digital filters. IIR filters are the part of digital filters with recursive responses. Since the error surface of IIR digital filters is generally non-linear and multimodal, global optimisation techniques are required in order to avoid local minima. The...

In this paper, a real-time denoising filter based on modelling of stable hybrid models is presented. Thehybrid models are composed of the shearlet filter and the adaptive Wiener filter in different forms.The optimization of various models is accomplished by the genetic algorithm. Next, regarding thesignificant relationship between Optimal models and input images, changing the structure of Optim...