Add to ORKGIn this paper a low pass finite impulse response (FIR) filter has been designed using artifi-cial neural network. The optimization of the network has been done using generalized regres-sion algorithm. The proposed approach has been compared with rectangular window method. The accuracy of this algorithm is about 98%, that is much higher than multi layer perceptron (MLP) back propagation algorithm
Comparative evaluations of the frequency responses (FR) of two types of filters implemented by the c...
AbstractIn this paper, an optimal design of linear phase digital finite impulse response (FIR) highp...
Recent experimental evidences have shown that because of a fast convergence and a nice accuracy, neu...
Abstract−For the designing of low pass FIR filter it require filter specification like sampling freq...
In this paper, we have designed the digital filter based on rectangular Window function using ANN. F...
Abstract — This paper proposed to provide an alternative approach for comparison of FIR digital filt...
For the design of Band pass FIR filters complex calculations are involved. Mathematically, by substi...
The neural network finds its application in many image denoising applications because of its inheren...
In recent papers [4, 5], a new neural adaptive filtering structure has been proposed, based on a Lea...
For the design of filters complex calculations are required. Mathematically, by substituting the val...
This work presents a novel coefficient mapping method to reduce the area cost of the finite impulse ...
In this communication, we have made an attempt to design multiplier-less low-pass finite impulse res...
In this communication, we have made an attempt to design multiplier-less low-pass finite impulse res...
Neural network adaptive filters are mainly used for the interference cancellation techniques. The gr...
In this paper, a linear phase Low Pass FIR filter is designed and proposed based on Firefly algorith...
Comparative evaluations of the frequency responses (FR) of two types of filters implemented by the c...
AbstractIn this paper, an optimal design of linear phase digital finite impulse response (FIR) highp...
Recent experimental evidences have shown that because of a fast convergence and a nice accuracy, neu...
Abstract−For the designing of low pass FIR filter it require filter specification like sampling freq...
In this paper, we have designed the digital filter based on rectangular Window function using ANN. F...
Abstract — This paper proposed to provide an alternative approach for comparison of FIR digital filt...
For the design of Band pass FIR filters complex calculations are involved. Mathematically, by substi...
The neural network finds its application in many image denoising applications because of its inheren...
In recent papers [4, 5], a new neural adaptive filtering structure has been proposed, based on a Lea...
For the design of filters complex calculations are required. Mathematically, by substituting the val...
This work presents a novel coefficient mapping method to reduce the area cost of the finite impulse ...
In this communication, we have made an attempt to design multiplier-less low-pass finite impulse res...
In this communication, we have made an attempt to design multiplier-less low-pass finite impulse res...
Neural network adaptive filters are mainly used for the interference cancellation techniques. The gr...
In this paper, a linear phase Low Pass FIR filter is designed and proposed based on Firefly algorith...
Comparative evaluations of the frequency responses (FR) of two types of filters implemented by the c...
AbstractIn this paper, an optimal design of linear phase digital finite impulse response (FIR) highp...
Recent experimental evidences have shown that because of a fast convergence and a nice accuracy, neu...