Compensation of Reconstruction Filter Effect in Digital Signal Processing System

Praesomboon, Sukanya; Dejhan, Kobchai; Yimman, Surapun

doi:10.2299/jsp.18.121

Cited by 1 publication

(2 citation statements)

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“…In [8], the authors proposed a bandwidth compensation scheme based on the analog transfer function of the output filter whereby the function was first converted into a discrete time system using the approximation of derivative technique and subsequently inverted for compensation of the DSP system bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…Figure 2 depicts the bandwidth of a conventional DSP system which suffers from the attenuation phenomenon which is more pronounced approaching the Nyquist frequency. In [8], the design of an IIR digital filter in the DSP system using the approximation of derivative method was proposed, whose cut-off frequency is equal to that of the analog output filter. The IIR transfer function was inverted and then converted into a difference equation for bandwidth compensation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Algorithmic Scheme-Integrated Bandwidth Compensatory Reconstruction Filter of Digital Signal Processing System

Boontawan¹,

Tooprakai²,

Dejhan³

et al. 2016

Journal of Signal Processing

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This research has proposed a novel algorithmic scheme of infinite impulse response (IIR) filter for bandwidth compensatory in digital signal processing (DSP) system based on the pole-zero placement technique. The scheme development started with the determination of the analog output or reconstruction filter gains at the zero, cut-off and Nyquist frequencies and then their respective nonlinear system equations. The NewtonRaphson method was subsequently applied for the positions of pole and zero and the gain of the output filter. The constants were re-substituted in the initial transfer function and an inversion carried out. To verify the applicability of the proposed scheme, simulations were carried out at two cut-off frequencies (i.e. 1.5 and 2kHz) and three sampling frequencies (i.e. 10, 12 and 14kHz). To further validate, experiments were undertaken whereby the algorithmic scheme was applied to a digital signal processing system. The simulation and experimental results revealed that the scheme implementation could effectively address the attenuation phenomenon, compensate the system bandwidth as well as enhance the time response of the output signal.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%