Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Implementation of noise cancellation using least mean square in GNU radio
Modern analog and digital communication systems development using GNU Radio with USRP
The method of noise reduction in systems with two signals paths
A Broadband Noise-Canceling CMOS LNA for 3.1–10.6-GHz UWB Receivers
Towards an Open Source IEEE 802.11p stack: A full SDR-based transceiver in GNU Radio
A model of noise reduction using Gabor Kuwahara filter
A broadband noise-canceling CMOS LNA for 3.1-10.6-GHz UWB receiver
Radio Model-free Noise Reduction of Radio Transmissions with Convolutional Autoencoders
On Optimal Frequency-Domain Multichannel Linear Filtering for Noise Reduction
SIMULATION AND PERFORMANCE ANALYASIS OF ADAPTIVE FILTER IN NOISE CANCELLATION
Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay
Energy detection spectrum sensing on DPSK modulation transceiver using GNU radio
Adaptive NLMS diagonally-interpolated Volterra filters for network echo cancellation
Low cost SDR spectrum analyzer and analog radio receiver using GNU radio, raspberry Pi2 and SDR-RTL dongle
Interference Mitigation in Cognitive-Radio-Based Femtocells
Design and Implementation of Real-Time Software Radio for Anti-Interference GPS/WAAS Sensors
A Low-Noise Amplifier With Tunable Interference Rejection for 3.1- to 10.6-GHz UWB Systems
analysis of noise signal cancellation using adaptive algorithms .
A 0.3–6GHz broadband noise cancelling low noise amplifier
RF self-interference cancellation for full-duplex
LabVIEW, the USRP, and their Implications on Software Defined Radio
comparative effectiveness of biologic therapy regimens for ankylosing spondylitis .
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices
Synthetic aperture radar for lane boundary detection in driver assistance systems
Cadmium and its epigenetic effects.
exponentiated gradient versus gradient descent for linear predictors .