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The paper presents a method of the DS CDMA signals with BPSK modulation detection through the examination of the enhanced signal spectrum density. On the base of experiments carried out on the real radio communication signals the impact of a narrowband emission occurring in the examined frequency band on the detection process effectiveness was shown. The results of the experiment aimed at the detection...
In order to suppress the strong noise, an adaptive morphological wavelet filter algorithm based on the morphological wavelet algorithm is applied in the high precise gravimeter signal processing. The preliminary work of the algorithm is to remove impulse signals of gravimeter signals with morphology filter. Then an adaptive thresh of wavelet transform filter it again. Finally, the reconstructed gravimeter...
Landmines are affecting the lives and livelihoods of millions of people around the globe. There are more than 110 million landmines in nearly 62 countries cause over 26,000 casualties each year. The costs of single landmine for buying and planting are about 3 – 10$ whereas it costs 300 – 1000$ for removal. Annually, about 80,000 APMs were being lifted, while about 2.5 million new APMs were being planted...
This paper proposes a filter based on a general regression neural network and a moving average filter, for preprocessing half-hourly load data for short-term multinodal load forecasting, discussed in another paper. Tests made with half-hourly load data from nine New Zealand electrical substations demonstrate that this filter is able to handle noise, missing data and abnormal data.
In this study, applications in the field of monitoring of Electrocardiography (ECG) by using wearable system technologies are summarized and discussed. It is also explored a new solution for real time ECG monitoring with low power DSP and different type of real time signal processing methods. With this system, a lot of data can be collected and compared to determine the coming problem for the heart...
The paper presents a hardware solution of the in vivo electrophysiological signals processing, using a continuous data acquisition on PC. The originality of the paper comes from some blocks proposal, which selective amplify the bio signals. One of the major problems in the electrophysiological signals monitoring is the impossibility to record the weak signals from deep organs that are covered by noise...
The methods for estimation of parameters of sinusoidal signal distorted by DC exponential component and contaminated by noise is proposed. The parameters of the DC component can also be determined. The proposed method is based on Singular Value Decomposition (SVD). It is compared to the method based on nonlinear regression technique.
Using the modern analysis tool Matlab, amplitude and phase noises have been extracted separately from the measured time domain output voltage of a sinusoidal oscillator. Analyzing the auto and cross correlations of the extracted amplitude and phase noises as functions of time, now we know how oscillator noise can be modeled for system analysis.
This paper outlines the use of symbol repetition technique together with space time block code orthogonally frequency division multiplexing (STBC-OFDM) scheme for power line communication (PLC) when the receiver has complete knowledge about the channel state information. Due to redundancy in the proposed technique, a low-complex FFT can be implemented. Also, the way as the symbol diversity is explored,...
This survey examines the bandwidth efficiency of wireless signals, beginning with a review of the Shannon capacity and of the important differences between signal to noise ratio (snr) and individual bit energy to noise density (IBEND = Eb/N0). Recognizing that communication systems are successful only if they are profitable, value propositions that have been realized along the evolution of adopted...
The problem of estimating pulse repetition interval (PRI) of an interleaved pulse train which consist of several independent radar signals, is the main issue of signal processing in electronic support systems. PRI Transform algorithm is one of the well known and effective methods of PRI detection which is capable of detecting several close jittered signals and surpassing subharmonics, but have some...
Impulse noise (IN) is one of the major impairments for data transmission over power lines. For power line communications (PLC) systems with bandwidths in the high kHz to MHz range, IN occurs in bursts. As long as those bursts are sufficiently short compared to a signal-processing (e.g. coding) frame, there is hope to successfully mitigate IN. In this paper, we introduce a new IN mitigation technique...
This paper discusses the topic of using chaotic models for constructing secure communication systems. It investigates two different case studies that use encryption/decryption functions with varying degrees of complexity and performance. The first case study explores the use of an improved cryptography method for scrambling the transmitted signal. The improvement is based on using both the transmitter...
In many practical problems such as radar imaging, it is useful to compute the variance-to-mean ratio. The need is important because for the sum of k identical independent signal components, both the variance and the mean are multiplied by k, so this ratio is independent on k and thus, provides useful information about the components. In practice, we only know the samples values with uncertainty. It...
In this work, we consider a homotopic principle for solving large-scale and dense ℓ1 underdetermined problems and its applications. The idea consists of obtaining the solution of the problem by solving a sequence of linear equality constrained multiquadric problems that depends on a regularization parameter that converges to zero. The procedure generates a central path that converges to a point on...
This paper presents the use of a Wavelet Neural Network (WNN) as an efficient classifier of Electromyographic (EMG) signals. Generally, an EMG signal requires advanced methods for detection, decomposition, processing and classification. In this paper a WNN model will relate the firing frequency of motor unit action potentials (MUAPs) and three different muscle force levels, in order to improve the...
This paper uses singular value decomposition (SVD) for studying the dynamic properties of fatigue-loaded intervertebral disc. Previously, this problem had been addressed using mathematical models of using mass, spring and damper or based on poroelastic theory. This paper utilizes the signal processing approach and attempts to describe SVD based feature that can be an indicator for change in behavioral...
Based on LabVIEW8.6 platform, this thesis developed a multi-function virtual oscilloscope system that includes the single channel oscilloscope which can realize the signal waveform display, time measurement, filtering and spectrum analysis of simulation signal, double channel oscilloscope which can realize the synthesis of Lissajous fingure by two signals and soundcard oscilloscope which using sound...
Because of wire rope conveyer belt with high load operating and complex conditions of coal mine, it is prone to cause conveyer belt horizontal rupture. It will bring tremendous hazards for coal mine safe production. Defects of wire rope and joints displacement are monitored by weak magnetic detection system. The algorithm of integration with wavelet transform and improved LMS adaptive filtering algorithm...
This paper describes an FPGA-based system for enhancing images of a thermal camera. In order to enhance images, this FPGA based system contains digital auto exposure (DAE), digital noise reduction (DNR), pseudo color, temperature, sensing and contour strengthening function. By using auto exposure function, high contrast and resolution images can be obtained.
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