Computing high-degree polynomial gradients in memory [PDF]
Nature CommunicationsSpecialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Ising Machines and related concepts, is limited to quadratic ...
Tinish Bhattacharya +8 more
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Behavioral Modeling of RF Power Amplifiers with Carrier-Frequency Generalization Using Interpolated Memory Polynomials [PDF]
Applied SciencesPower amplifier behavioral modeling is an important technique for efficient and accurate digital predistortion, but conventional models fail to generalize when applied across varying carrier frequencies.
Andžej Borel +2 more
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FourierPIM: High-throughput in-memory Fast Fourier Transform and polynomial multiplication
Memories - Materials, Devices, Circuits and Systems, 2023 The Discrete Fourier Transform (DFT) is essential for various applications ranging from signal processing to convolution and polynomial multiplication. The groundbreaking Fast Fourier Transform (FFT) algorithm reduces DFT time complexity from the naive O(
Orian Leitersdorf +4 more
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SHiPPO: Recurrent Memory with Transported Polynomial Projections [PDF]
HiPPO gives recurrent states memory semantics as coefficients of online polynomial projections, but in fixed channel coordinates. Modern selective SSMs, by contrast, rely on token-dependent control and channel interaction. We introduce SHiPPO (Sylvester HiPPO), a transported projection-memory prior that lifts HiPPO coefficient memories into a moving ...
水口智也, Bum Jun Kim
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IEEE AccessThis paper proposes a novel behavioral modeling framework applied to digital predistortion (DPD) employing Transformer neural networks for dynamic, per-sample coefficient estimation of envelope memory polynomial models. Unlike conventional neural network
Mohammad Hossein Khazani +3 more
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Tensor-based Model Reduction and Identification for Generalized Memory Polynomial [PDF]
IEEE Transactions on Automation Science and Engineering13 pages, 12 ...
Yuchao Wang, Yimin Wei
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Full-Wave Digital Predistortion Linearization Based on Memory Polynomials for HF Power Amplifiers [PDF]
IEEE AccessIn order to suppress the intermodulation distortion and harmonic distortion caused by the nonlinearity of a HF power amplifier (PA), this paper presents a nonlinear correction method for full wave digital predistortion (DPD) of a HF PA based on a memory ...
Junshi Lv +4 more
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Generalized Nonuniform Memory Polynomial Model for Digital Predistortion of RF Transmitters
IEEE Journal of MicrowavesA novel generalized nonuniform memory polynomial (GNMP) model is proposed for behavioral modeling and digital predistortion (DPD) of RF power amplifiers (PAs).
Renlong Han, Falin Liu, Siping Gao
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Design of Reliable, Resilient, and Robust Architecture and Control for Next-Generation Optical–Wireless Networks [PDF]
SensorsThe convergence of optical transport and wireless access in next- and future-generation networks imposes strict QoS demands, particularly end-to-end reliability, which conventional redundancy approaches cannot meet.
Bakhe Nleya, Beverly Pule
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Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation [PDF]
With the emergence of new radio telescopes promising larger fields of view at lower observation frequencies (e.g., SKA), addressing direction-dependent effects (DDE) (e.g., direction-specific beam responses), polarisation leakage, and pointing errors has become all the more important.
Ali Taqi +5 more
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