The Experts below are selected from a list of 1821 Experts worldwide ranked by ideXlab platform
S. Tantaratana - One of the best experts on this subject based on the ideXlab platform.
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Design and hybrid realization of FIR Nyquist filters with Quantized Coefficients and low sensitivity to timing jitter
IEEE Transactions on Signal Processing, 2005Co-Authors: P. Boonyanant, S. TantaratanaAbstract:A design of finite impulse response (FIR) Nyquist filters with zero intersymbol interference (ISI) and low sensitivity to timing jitter is presented. Using an affine scaling linear programming algorithm, a near-optimum Quantized Coefficient set can be obtained in a feasible computational time. By varying a parameter, the design provides a tradeoff between the tail energy of the impulse response in the time domain and the stopband of the magnitude response in the frequency domain. We also present a pipelined multiplier-free FIR filter realization with periodically time-varying (PTV) Coefficients based on a hybrid form. The realizations exploit the Coefficient symmetry to reduce the hardware by about one half. By placing most of the shifts followed by addition toward the back end of the structure, hardware is reduced due to the shorter wordlength of the adders. The proposed structure has a provision to increase the speed by adjusting a design parameter but at the expense of more hardware.
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Design and Hybrid Realization of FIR Nyquist Filters with Quantized Coefficients and Low Sensitivity to
2005Co-Authors: P. Boonyanant, S. TantaratanaAbstract:A design of finite impulse response (FIR) Nyquist fil- ters with zero intersymbol interference (ISI) and low sensitivity to timing jitter is presented. Using an affine scaling linear program- ming algorithm, a near-optimum Quantized Coefficient set can be obtained in a feasible computational time. By varying a param- eter, the design provides a tradeoff between the tail energy of the impulse response in the time domain and the stopband of the mag- nitude response in the frequency domain. We also present a pipelined multiplier-free FIR filter realization with periodically time-varying (PTV) Coefficients based on a hybrid form. The realizations exploit the Coefficient symmetry to reduce the hardware by about one half. By placing most of the shifts followed by addition toward the back end of the structure, hardware is reduced due to the shorter wordlength of the adders. The proposed structure has a provision to increase the speed by adjusting a design parameter but at the expense of more hardware.
P. Boonyanant - One of the best experts on this subject based on the ideXlab platform.
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Design and hybrid realization of FIR Nyquist filters with Quantized Coefficients and low sensitivity to timing jitter
IEEE Transactions on Signal Processing, 2005Co-Authors: P. Boonyanant, S. TantaratanaAbstract:A design of finite impulse response (FIR) Nyquist filters with zero intersymbol interference (ISI) and low sensitivity to timing jitter is presented. Using an affine scaling linear programming algorithm, a near-optimum Quantized Coefficient set can be obtained in a feasible computational time. By varying a parameter, the design provides a tradeoff between the tail energy of the impulse response in the time domain and the stopband of the magnitude response in the frequency domain. We also present a pipelined multiplier-free FIR filter realization with periodically time-varying (PTV) Coefficients based on a hybrid form. The realizations exploit the Coefficient symmetry to reduce the hardware by about one half. By placing most of the shifts followed by addition toward the back end of the structure, hardware is reduced due to the shorter wordlength of the adders. The proposed structure has a provision to increase the speed by adjusting a design parameter but at the expense of more hardware.
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Design and Hybrid Realization of FIR Nyquist Filters with Quantized Coefficients and Low Sensitivity to
2005Co-Authors: P. Boonyanant, S. TantaratanaAbstract:A design of finite impulse response (FIR) Nyquist fil- ters with zero intersymbol interference (ISI) and low sensitivity to timing jitter is presented. Using an affine scaling linear program- ming algorithm, a near-optimum Quantized Coefficient set can be obtained in a feasible computational time. By varying a param- eter, the design provides a tradeoff between the tail energy of the impulse response in the time domain and the stopband of the mag- nitude response in the frequency domain. We also present a pipelined multiplier-free FIR filter realization with periodically time-varying (PTV) Coefficients based on a hybrid form. The realizations exploit the Coefficient symmetry to reduce the hardware by about one half. By placing most of the shifts followed by addition toward the back end of the structure, hardware is reduced due to the shorter wordlength of the adders. The proposed structure has a provision to increase the speed by adjusting a design parameter but at the expense of more hardware.
Claussen Holger - One of the best experts on this subject based on the ideXlab platform.
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Enhanced multiuser superposition transmission through structured modulation
'Institute of Electrical and Electronics Engineers (IEEE)', 2019Co-Authors: Fang Dong, Huang, Yu Chih, Geraci Giovanni, Ding Zhiguo, Claussen HolgerAbstract:The fifth-generation (5G) air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal MA (OMA), may require a complicated scheduling and heavy signaling overhead. To address these challenges, we propose a unified MA scheme for future cellular networks, which we refer to as structured MUST (S-MUST). In S-MUST, we apply complex power allocation Coefficients (CPACs) over multiuser legacy constellations to generate a composite constellation. In particular, the in-phase (I) and quadrature (Q) components of the legacy constellation of each user are separately multiplied by those of the CPACs. As such, the CPACs offer an extra degree of freedom for multiplexing users and guarantee fairness in symmetric broadcast channels. This new paradigm of superposition coding allows us to design IQ separation at the user side, which significantly reduces the decoding complexity without degrading performance. Hence, it supports low-complexity frequency-selective scheduling that does not entail dynamical switching between MUST and OMA. We further propose to quantize the CPACs into complex numbers where I and Q components of each Quantized Coefficient are primes, facilitating parallel interference cancellation at each user via modulo operations; last but not least, we generalize the design of S-MUST to exploit the capabilities of multiantenna base stations. The proposed S-MUST exhibits an improved user fairness with respect to conventional MUST (134% spectral efficiency enhancement) and a lower system complexity compared with dynamically alternating MUST and OMA
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Enhanced Multiuser Superposition Transmission through Structured Modulation
2018Co-Authors: Fang Dong, Geraci Giovanni, Ding Zhiguo, Huang Yu-chih, Claussen HolgerAbstract:The 5G air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal multiple access (OMA), may require complicated scheduling and heavy signaling overhead. To address these challenges, we propose a a unified MA scheme for future cellular networks, which we refer to as structured multiuser superposition transmission (S-MUST). In S-MUST, we apply complex power allocation Coefficients (CPACs) over multiuser legacy constellations to generate a composite constellation. In particular, the in-phase (I) and quadrature (Q) components of the legacy constellation of each user are separately multiplied by those of the CPACs. As such, the CPACs offer an extra degree of freedom for multiplexing users and guarantee fairness in symmetric broadcast channels. This new paradigm of superposition coding allows us to design IQ separation at the user side, which significantly reduces the decoding complexity without degrading performance. Hence, it supports low-complexity frequency-selective scheduling that does not entail dynamically switching between MUST and OMA. We further propose to quantize the CPACs into complex numbers where I and Q components of each Quantized Coefficient are primes, facilitating parallel interference cancellation at each user via modulo operations, last but not least, we generalize the design of S-MUST to exploit the capabilities of multiantenna base stations. The proposed S-MUST exhibits an improved user fairness with respect to conventional MUST (134% spectral efficiency enhancement) and a lower system complexity compared with dynamically alternating MUST and OMA
Hexin Chen - One of the best experts on this subject based on the ideXlab platform.
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ICASSP - A detection algorithm for zero-Quantized DCT Coefficients in JPEG
2008 IEEE International Conference on Acoustics Speech and Signal Processing, 2008Co-Authors: Jarmo Takala, Moncef Gabbouj, Hexin ChenAbstract:The discrete cosine transform (DCT) is widely used in image/video coding standards. However, since most DCT Coefficients will be Quantized to zeros, a large number of redundant computations are introduced. This paper presents an early detection algorithm to predict zero-Quantized DCT Coefficients for fast JPEG encoding. Based on the theoretical analysis for 2-D DCT and quantization in JPEG standard, we derive a sufficient condition under which each Quantized Coefficient becomes zero. Finally, the transform of the zero-Quantized Coefficients is omitted. Experimental results show that the proposed algorithm can significantly reduce the redundant computations and speed up the image encoding. Moreover, it doesn't cause any performance degradation. Computational reduction also implies longer battery lifetime and energy economy for digital applications.
Fang Dong - One of the best experts on this subject based on the ideXlab platform.
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Enhanced multiuser superposition transmission through structured modulation
'Institute of Electrical and Electronics Engineers (IEEE)', 2019Co-Authors: Fang Dong, Huang, Yu Chih, Geraci Giovanni, Ding Zhiguo, Claussen HolgerAbstract:The fifth-generation (5G) air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal MA (OMA), may require a complicated scheduling and heavy signaling overhead. To address these challenges, we propose a unified MA scheme for future cellular networks, which we refer to as structured MUST (S-MUST). In S-MUST, we apply complex power allocation Coefficients (CPACs) over multiuser legacy constellations to generate a composite constellation. In particular, the in-phase (I) and quadrature (Q) components of the legacy constellation of each user are separately multiplied by those of the CPACs. As such, the CPACs offer an extra degree of freedom for multiplexing users and guarantee fairness in symmetric broadcast channels. This new paradigm of superposition coding allows us to design IQ separation at the user side, which significantly reduces the decoding complexity without degrading performance. Hence, it supports low-complexity frequency-selective scheduling that does not entail dynamical switching between MUST and OMA. We further propose to quantize the CPACs into complex numbers where I and Q components of each Quantized Coefficient are primes, facilitating parallel interference cancellation at each user via modulo operations; last but not least, we generalize the design of S-MUST to exploit the capabilities of multiantenna base stations. The proposed S-MUST exhibits an improved user fairness with respect to conventional MUST (134% spectral efficiency enhancement) and a lower system complexity compared with dynamically alternating MUST and OMA
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Enhanced Multiuser Superposition Transmission through Structured Modulation
2018Co-Authors: Fang Dong, Geraci Giovanni, Ding Zhiguo, Huang Yu-chih, Claussen HolgerAbstract:The 5G air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal multiple access (OMA), may require complicated scheduling and heavy signaling overhead. To address these challenges, we propose a a unified MA scheme for future cellular networks, which we refer to as structured multiuser superposition transmission (S-MUST). In S-MUST, we apply complex power allocation Coefficients (CPACs) over multiuser legacy constellations to generate a composite constellation. In particular, the in-phase (I) and quadrature (Q) components of the legacy constellation of each user are separately multiplied by those of the CPACs. As such, the CPACs offer an extra degree of freedom for multiplexing users and guarantee fairness in symmetric broadcast channels. This new paradigm of superposition coding allows us to design IQ separation at the user side, which significantly reduces the decoding complexity without degrading performance. Hence, it supports low-complexity frequency-selective scheduling that does not entail dynamically switching between MUST and OMA. We further propose to quantize the CPACs into complex numbers where I and Q components of each Quantized Coefficient are primes, facilitating parallel interference cancellation at each user via modulo operations, last but not least, we generalize the design of S-MUST to exploit the capabilities of multiantenna base stations. The proposed S-MUST exhibits an improved user fairness with respect to conventional MUST (134% spectral efficiency enhancement) and a lower system complexity compared with dynamically alternating MUST and OMA
