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In recent years, large-scale pre-trained diffusion models have demonstrated their outstanding capabilities in image and video generation tasks. However, existing models tend to produce visual objects commonly found in the training dataset,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Changgu Chen , Libing Yang , Xiaoyan Yang , Lianggangxu Chen , Gaoqi He , CHangbo Wang , Yang Li

As more the communications and signal process we use in the today life the more we intend to develop more reliable devices which gives fewer errors due to transient fault, So we use a technique called 5-modular redundancy to generate fewer…

Signal Processing · Electrical Eng. & Systems 2023-04-18 Sathvik Reddy O , Sakthivel SM

We propose a fiber nonlinearity post-compensation technique using the DNN and the second-order perturbation theory. We achieve 1 dB Q-factor improvement for a 32 Gbaud PDM-64-QAM at 1200 km compared to the linear dispersion compensation.

Signal Processing · Electrical Eng. & Systems 2021-06-29 O. S. Sunish Kumar , Lutz Lampe , Shenghang Luo , Mrinmoy Jana , Jeebak Mitra , Chuandong Li

Delay alignment modulation (DAM) is a novel transmission technique for wireless systems with high spatial resolution by leveraging delay compensation and path-based beamforming, to mitigate the inter-symbol interference (ISI) without…

Signal Processing · Electrical Eng. & Systems 2024-07-31 Zhiwen Zhou , Zhiqiang Xiao , Yong Zeng

Beamforming design with partial channel estimation and feedback for frequency-division duplexing (FDD) reconfigurable intelligent surface (RIS) assisted systems is considered in this paper. We leverage the observation that path angle…

Signal Processing · Electrical Eng. & Systems 2025-06-03 Xiaochun Ge , Shanping Yu , Wenqian Shen , Chengwen Xing , Byonghyo Shim

In practical applications, quantum systems are inevitably subject to significant uncertainties, including unknown initial states, imprecise physical parameters, and unmodeled environmental noise, all of which pose major challenges to robust…

Mathematical Physics · Physics 2025-11-12 Weichao Liang , Daoyi Dong

Linear and nonlinear distortions in optical communication signals are equalized using an integrated feed-forward Photonic Neural Network (PNN). The PNN is based on a linear stage made of an 8-tap Finite Impulse Response (FIR) filter,…

Due to simplicity and strong stability guarantees, predictor feedback methods have stood as a popular approach for time delay systems since the 1950s. For time-varying delays, however, implementation requires computing a prediction horizon…

Systems and Control · Electrical Eng. & Systems 2026-04-01 Luke Bhan , Miroslav Krstic , Yuanyuan Shi

We propose and demonstrate a high-bandwidth optical intensity waveform monitoring technique based on frequency-division phase random optimization (FD-PRO) using an opto-electronic finite impulse response (OE-FIR) filter. In this technology,…

Optics · Physics 2025-02-04 Zheqing Sun , Takahide Sakamoto

Orthogonal frequency division multiplexing - integrated sensing and communication (OFDM-ISAC) has emerged as a key enabler for future wireless networks, leveraging the widely adopted OFDM waveform to seamlessly integrate wireless…

Signal Processing · Electrical Eng. & Systems 2025-04-10 Peishi Li , Ming Li , Rang Liu , Qian Liu , A. Lee Swindlehurst

We derive gain-tuning rules for the positive and negative spatial-feedback loops of a spatially-distributed filter to change the resolution of its spatial band-pass characteristic accordingly to a wavelet zoom, while preserving temporal…

Optimization and Control · Mathematics 2021-06-07 Alessio Franci

Dilated convolution, which expands the receptive field by inserting gaps between its consecutive elements, is widely employed in computer vision. In this study, we propose three strategies to improve individual phases of dilated convolution…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Linwei Chen , Lin Gu , Ying Fu

DeepFake Audio, unlike DeepFake images and videos, has been relatively less explored from detection perspective, and the solutions which exist for the synthetic speech classification either use complex networks or dont generalize to…

Sound · Computer Science 2022-10-24 Vardhan Dongre , Abhinav Thimma Reddy , Nikhitha Reddeddy

The generative adversarial networks (GANs) have facilitated the development of speech enhancement recently. Nevertheless, the performance advantage is still limited when compared with state-of-the-art models. In this paper, we propose a…

Sound · Computer Science 2020-06-16 Andong Li , Chengshi Zheng , Renhua Peng , Cunhang Fan , Xiaodong Li

In Analog-to-digital (A/D) conversion, signal decimation has been proven to greatly improve the efficiency of data storage while maintaining high accuracy. When one couples signal decimation with the $\Sigma\Delta$ quantization scheme, the…

Information Theory · Computer Science 2020-02-06 Kung-Ching Lin

We present a new sound rendering pipeline that is able to generate plausible sound propagation effects for interactive dynamic scenes. Our approach combines ray-tracing-based sound propagation with reverberation filters using robust…

Graphics · Computer Science 2018-03-02 Carl Schissler , Dinesh Manocha

Recently, a novel form of audio partial forgery has posed challenges to its forensics, requiring advanced countermeasures to detect subtle forgery manipulations within long-duration audio. However, existing countermeasures still serve a…

Multimedia · Computer Science 2024-07-24 Junyan Wu , Wei Lu , Xiangyang Luo , Rui Yang , Qian Wang , Xiaochun Cao

Farrow filters allow to develop universal oversamplers for fractional delay correction and sampling rate conversion. The use of cubic Lagrangian interpolation in Farrow filter does not allow to provide processing bandwidth more than 0.4 of…

Signal Processing · Electrical Eng. & Systems 2025-03-14 N. V. Bakholdin , V. A. Chernienko , S. A. Bakhurin

Digital PID control requires a differencing operation to implement the D gain. In order to suppress the effects of noisy data, the traditional approach is to filter the data, where the frequency response of the filter is adjusted manually…

Systems and Control · Electrical Eng. & Systems 2024-07-02 Shashank Verma , Brian Lai , Dennis S. Bernstein

Iterative Filtering (IF) is an alternative technique to the Empirical Mode Decomposition (EMD) algorithm for the decomposition of non-stationary and non-linear signals. Recently in [1] IF has been proved to be convergent for any $L^2$…

Numerical Analysis · Mathematics 2015-07-28 Antonio Cicone , Haomin Zhou