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This article is focused on the design of the new method of the detection (extraction) of pulse groups, especially SIF/IFF responses, in signals with low signal to noise ratio. This solution is novel in comparison with commonly used detection techniques of present Secondary Surveillance Radar or Electronic Intelligence systems. First, the brief overview of present detection methods of groups of pulses...
State-of-the-art wearable devices such as embedded biomedical monitoring systems apply voltage scaling to lower as much as possible their energy consumption and achieve longer battery lifetimes. While embedded memories often rely on Error Correction Codes (ECC) for error protection, in this paper we explore how the characteristics of biomedical applications can be exploited to develop new techniques...
In estimating DOA of incident waves with high accuracy, we often have to take into consideration the angular spread of each wave due to reflection, diffraction, and scattering. As a method of estimating DOA and AS simultaneously, SAGE-DOA-Matrix method was proposed which uses DOA-Matrix method along with SAGE algorithm. In this paper, we further improve the estimation performance of the method by...
Massive MIMO enables the improvement on the transmission rate without increasing the burden on the signal processing by employing a large number of antennas at a base station (BS). Channel state information (CSI) feedback scheme from terminal stations to BS gives a very large overhead when considering massive MIMO and implicit beamforming (IBF) with the calibration technique as the countermeasures...
Speech signal quality augmentation involves the challenge to scale down the noise and to perk up the transparency In this paper the performance of two optimization algorithms is compared for denoising the speech signal. The optimization techniques such as Artificial Bee Colony(ABC), Cuckoo Search (CS)algorithm, are used as adaptive algorithms for generating the parameters of adaptive filtering function...
Cross Talk (NEXT, FEXT), and Inter symbol interference (ISI) degrade the performance of wire line communication system. Equalizer plays a big role in the performance improvement. Zero Forcing (ZF) and Least Mean Square (LMS) algorithm for TDE (time domain equalizer) and FDE (frequency domain equalizer) has been used for minimization of cross talk and ISI. In this paper simulation of ADSL (Asynchronous...
In this paper authors have addressed the problems in blind adaptation technique implementations. Blind adaptation techniques shows poor convergence property in comparison to the supervised techniques which uses training sequences for adaption purpose e.g. least mean square algorithm. Gradient descent based adaption/estimation technique is one of the widely used blind channel adaptation/estimation...
Matched field processing (MFP) for passive source localization is a comprehensive application of signal processing techniques in extremely complex environment. In essence, it is a parameter estimation processor by exploiting full wave modeling of acoustic waveguide propagation. Typical MFP performance demonstrates a threshold behavior, that is, below some signal-to-noise ratio (SNR), the mean-square...
Track-before-detect technology is a powerful technology for detection and tracking of targets with low signal-to-noise ratios (SNRs). The paper presents a method for underwater targets detection and tracking with the combination of a particle filter and track-before-detect method. It uses the standard particle-filter based on the track-before-detect scheme, taking the percentage of alive particles...
At present, 2 to 4 out of every 1000 births are affected with hearing impairments. In enforcing mandatory hearing screening for neonates, robust algorithms are required to make the process fast and efficient. In this paper, we present a novel algorithm to automate objective hearing screening using auditory brainstem response (referred to as ABR). An effective stimulus delivery mechanism, an efficient...
A new gradient mean based sub-windowed (GMSW) sequence is presented for the detection of radar pulse in a noisy wide band time domain environment. For detecting the signal accurately from the variable noise floor, a suitable threshold value is derived based on energy detection. First, the wide band time domain signal is divided into several sub-windowed sequences. Then the gradient mean of the sub-windowed...
Direction of Arrival (DOA) estimation is an important problem in the field of array signal processing. There are many spectral and eigen structure algorithms for estimating direction of narrow band sources. Maximum Likelihood (ML) method is an efficient DOA estimation technique compared to other eigen structure based methods mainly due to its superior statistical performance. In this paper, we use...
This paper depicts an improved speech enhancement method based on wavelets techniques, with the goal of ameliorating the speech quality for mobile phones. In the developed algorithm, optimized filters are designed and used as mothers wavelets for the classical algorithm of speech enhancement based on discrete wavelet transform. The cutoff frequency of the optimized wavelets filters is iteratively...
The ECG is a record of the electrical activities of the heart. It is used for the diagnosis of a number of cardiac defects such as arrhythmias, AF etc. Quite often they get corrupted by various kinds of artifacts, thus in order to obtain proper information from them they must first be denoised. Baseline wander artifact is one of the most common artifact of ECG. This paper presents a novel approach...
The pulse wave signal contains a variety of noises and has strong nonlinear and non-stationary. According to the previous wavelet transformation method, this paper proposes a PPG signal de-noising algorithm based on dual-tree complex wavelet transform (DTCWT) and morphological filtering. With the advantage of simple construction, clear mathematical implications and low computational complexity, this...
Signal processing algorithms are widely used in various applications to find position, range and velocity of moving objects. Signal processor part of radar has to perform heavy computations. The time required to localize the target is also critical for surveillance. When target is approaching the radar, detection needs to be faster. A radar signal processor is proposed which is capable of finding...
Several distributed coordinated precoding methods relying on over-the-air (OTA) iterations in time-division duplex (TDD) networks have recently been proposed. Each OTA iteration incurs overhead, which reduces the time available for data transmission. In this work, we therefore propose an algorithm which reaches good sum rate performance within just a few number of OTA iterations, partially due to...
The rise in data-centric user applications in recent times demands a propagation-friendly channel for data transmission. Multiple Input Multiple Output - Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems are employed for wireless broadband communications and considerable performance with regards to data rates is observed. Over the years investigations for the use of adaptive algorithms...
Aimed at the characteristics of infrared images for moving target, such as complicated background, low signal-to-noise ratio and low contrast, a new method for complicated background suppression is proposed based on Large Field (LF) and Small Field (SF) system in the paper. Firstly, the CCD sensors are used to obtain infrared video data for moving target. Then, after analyzing the visual motion detection...
Digital watermarking is one of the solution to protect the copyright and ownership of multimedia content. Digital audio watermarking embeds owner information as a watermark into the audio files. Synchronization is the major drawback in some of the audio watermarking techniques. In this audio watermarking algorithm based on FFT, synchronization code is included to resist the desynchronization attacks...
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