Digital signal processors (DSPs) continue to receive a great deal of attention in new product design. For example, digital filter design reflects the importance of understanding and using this ...

Finally, we perform a 1680-point inverse DFT on H(m) to obtain the interpolated h(k) impulse response (coefficients), shown in Figure 13–73(b), for our desired filter. (The ten-fold compression of the ...

The design of finite impulse response (FIR) filters remains a cornerstone of digital signal processing, with ongoing efforts to refine both the algorithmic and hardware aspects of their implementation ...

Abstract: This paper proposes a new method for designing allpass filters having the specified degrees of flatness at the specified frequency point(s) and equiripple phase responses in the ...

This paper presents a generalization of the Remez multiple-exchange (ME) algorithm for solving complex Chebyshev approximation by polynomials on the unit circle. The difficulties of implementing the ...

Abstract: Finite Impulse Response (FIR) filters are one of the most widely used fundamental filters in digital signal processing system. The modified FIR filters are derived from FIR digital filter.