ICSPS provides a scientific platform for both local and international scientists, engineers and technologists who work in all aspects of Signal Processing Systems to exchange latest research results. In addition to the contributed papers, internationally well-known experts are also invited to deliver keynote speeches at ICSPS 2017.
A Joint Code-Doppler Acquisition Algorithm for DSSS-MSK Signal Based on Compressed Sensing
The unavoidable Doppler offset significantly reduces the correlation peak for code acquisition of the direct sequence spread spectrum minimum shift keying (DSSS-MSK) signal in highly dynamic environment. To eliminate the severe influence caused by the ...
Pulse Compression of V-FM Signals via Dechirping
This paper focuses on the pulse compression of wideband V-style frequency modulation (V-FM) signals, where the pulse compression of the received V-FM signals is achieved by the dual-channel dechirping. The compressed signals of one channel after pulse ...
Time-Domain Processing for Exact Background Clutter Extraction and Reduction in RCS Measurement
In radar cross section (RCS) measurement of modern low observable radar targets, the relatively strong background clutter degrades the uncertainty of the calibrated RCS data. In this work, a time-domain processing technique is proposed for zero-Doppler ...
Eigenvalue Based Signal Detection Algorithm for Spectrum Sensing in CRNWs
Spectrum sensing (signal detection) is a fundamental problem in cognitive radio networks. Signals, having low signal to noise ratio, are more difficult to detect due to rapid fluctuation of noise. In this paper, we propose a double threshold based ...
Generalized wavelet thresholding technique for optimal noise reduction of Lidar echo signals
The wavelet thresholding technique as a multi-scale denoising technique has an outstanding performance in non-stationary signal processing. Currently, this technique was effectively used in noise reduction of Light detection and ranging (Lidar) echo ...
Study on Nonlinear Baseline Transcendental Resolution Algorithm in PPG Signals
Baseline resolution is significant to the accuracy of PPG signal analysis. In view of such problems of apriority, difficulty in parameter tuning in existing PPG signal baseline calculation method, and the baseline randomization of PPG signals, a ...
Identification of Heroin Addict Pulse Signals Using Multiwavelet Transform
Using the multiwavelet transform based on GHM multiwavelet and with GHM preprocessing, the pulse signals of 15 heroin addicts and 15 healthy normal subjects are decomposed into three levels. A technique called the approximation entropy is then used in ...
Robust Adaptive Beamforming with Sidelobe Controlled
High sidelobe level and model mismatches, such as general steering vector (SV) mismatches, are two major disadvantages of the minimum variance distortionless response (MVDR) beamforming. To suppress the sidelobe for interference nulling when ...
Coincidence Algorithm for Doppler Ambiguity Resolution in Radars with Different PRF
The coincidence algorithm is classical for doppler ambiguity resolution in pulse doppler radars which operate with different Pulse Repetition Frequencies (PRF). When a radar operates in this condition with an identical number of slow time samples per ...
Investigating the Utilization of the Secure Hash Algorithm to Generate Electromagnetic Noise
This research introduces an electromagnetic (EM) noise generator known as the FRIES noise generator to mitigate and obfuscate Side Channel Analysis (SCA) attacks against a Raspberry Pi. The FRIES noise generator utilizes the implementation of the Secure ...
3D Impulsive Sound-Source Localization Method through a 2D MEMS Microphone Array using Delay-and-Sum Beamforming
This paper presents a 3D impulsive sound-source localization method through a 2D MEMS microphone array using the delay-and-sum beamforming technique in the time domain at two different aspects; one is the planar wavefront and the other is the spherical ...
A Deep Autoencoder approach for Speaker Identification
Speaker Identification (SID) is one of the most prominent and leading research arena that gained tremendous momentum in the recent years. This increased attention of machine learning approaches, especially deep neural networks (DNNs), further enhanced ...
Physical Classification and Recent Developments of Active Noise Control Systems
The rapid growth of the industry has a major effect on the environmental noise pollution, and it ranks second to the air pollution that adversely affects the human health. Passive noise control techniques are impractical and very expensive for low-...
Long-term Tracking with Adaptive Correlation Filters for Object Invisibility
Long-term tracking is one of the most challenging problems in computer vision. During long-term tracking, the target object may suffer from scale changes, illumination changes, heavy occlusions, out-of-view, etc. Most existing tracking methods fail to ...
Analysis and Design of High Integrated Low Noise Frequency Source in S Band
According to the requirements of miniaturization, low cost and low noise of an unmanned aerial vehicle (UAV) landing device, an S-band local oscillator source suitable for airborne integrated transceiver was developed based on the integrated phase-...
- Proceedings of the 9th International Conference on Signal Processing Systems
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
ICSPS 2016 | 83 | 46 | 55% |
Overall | 83 | 46 | 55% |