The paramount importance enjoyed by the FFT algorithm and its variants is amply demonstrated by the plethora of applications it currently enjoys in a myriad of practical areas. As this algorithm is invariably digitally implemented, its computational accuracy relies on its two inputs having a sufficiently fine quantization. This precludes the use of a coarse quantization scheme for the 2 FFT inputs and the exploitation of all the concomitant and attractive practical advantages that this scheme would bring to the FFT application at hand. This paper proposes a new theory that resolves this conflict between exploiting these practical advantages and retaining an acceptable computational accuracy of the FFT. This theory is tested with the smalles...
International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and C...
1-bit analog-to-digital conversion is very attractive for low-complexity communications receivers. A...
Abstract Receivers based on 1-bit quantization and oversampling with respect to the transmit signal ...
Through several algorithmic changes, the FFT and its variants have not only breathed a new lease of ...
Reducing the quantization resolution of the FFT input is bound to adversely affect its computational...
Fourier transform is undoubtedly one of the cornerstones of digital signal processing (DSP). The in...
A study of the quantization noise in FFT (fast Fourier transform) processors is undertaken with the ...
Abstract—In this correspondence the analysis of overall quantization loss for the Fast Fourier Trans...
Abstract—In this paper, we investigate the effect of fixed-point arithmetics with limited precision ...
Frequency response, and hence transfer function, estimation of systems is of vital importance to sev...
In this thesis, first we investigate the principle of finding the optimized coefficient set of IntFF...
In this paper, the principle of ſnding the optimized coefſcient set of integer fast Fourier transfor...
In this paper, we analyze the quantization error effects of the radix-22 FFT algorithm. We propose p...
Fast Fourier Transform (FFT) is a fast and efficient way of computing Discrete Fourier Transform (DF...
This paper analyzes the effects of quantization noise on the error correcting capability of a popula...
International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and C...
1-bit analog-to-digital conversion is very attractive for low-complexity communications receivers. A...
Abstract Receivers based on 1-bit quantization and oversampling with respect to the transmit signal ...
Through several algorithmic changes, the FFT and its variants have not only breathed a new lease of ...
Reducing the quantization resolution of the FFT input is bound to adversely affect its computational...
Fourier transform is undoubtedly one of the cornerstones of digital signal processing (DSP). The in...
A study of the quantization noise in FFT (fast Fourier transform) processors is undertaken with the ...
Abstract—In this correspondence the analysis of overall quantization loss for the Fast Fourier Trans...
Abstract—In this paper, we investigate the effect of fixed-point arithmetics with limited precision ...
Frequency response, and hence transfer function, estimation of systems is of vital importance to sev...
In this thesis, first we investigate the principle of finding the optimized coefficient set of IntFF...
In this paper, the principle of ſnding the optimized coefſcient set of integer fast Fourier transfor...
In this paper, we analyze the quantization error effects of the radix-22 FFT algorithm. We propose p...
Fast Fourier Transform (FFT) is a fast and efficient way of computing Discrete Fourier Transform (DF...
This paper analyzes the effects of quantization noise on the error correcting capability of a popula...
International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and C...
1-bit analog-to-digital conversion is very attractive for low-complexity communications receivers. A...
Abstract Receivers based on 1-bit quantization and oversampling with respect to the transmit signal ...