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Orthogonal Frequency Division Multiplexing (OFDM) is designed to improve the spectral efficiency and combat multipath fading by dividing the wide band frequency selective fading channel into many narrow flat sub-channels. The noise in the wireless communication channel may damage the OFDM transmission signal and reduce the signal-to-noise ratio (SNR) at the receiver, which limits the bit error rate...
The long-distance pipeline leakage signal is disturbed by the outside world and the signal-to-noise ratio is low. It needs to deal with the leaking signal to improve the detection precision of pipeline leakage. In this paper, the advantages and disadvantages of several common denoising methods are analyzed. Emphasis is placed on the analysis of empirical mode decomposition (EMD). In order to solve...
The results of noise-resistant speech signal processing, with the use of linear adaptive filters. To enhance the filtration efficiency, the filtration is proposed to use a cascade signal. This approach improves the noise resistance of the signal. A comparative analysis of the performance of the developed algorithm with known methods of filtration. The effectiveness of the proposed filter is demonstrated...
In this research paper, we have introduced a family of adaptive filtering algorithms for noise abrogation in communication systems. There are various algorithms to find the optimal value in a digital transmission system. But among them, the evolutionary variable step size of Least Mean Square algorithm (EVSSLMS) is inspired by the “competitive methods” from the online learning literature. The predicated...
The paper examines an application of the gradient-based algorithm to image denoising with noise values being in the range of the available (non-noisy) pixel values. The analyzed image is considered to be sparse in the 2D-DCT domain. The presented algorithm is a generalization of the previous results on denoising images when the noisy pixels can be detected and eliminated using the L-statistics. The...
Clustering is applied to many applications and the decision with regards to which algorithm to use is dependent on the nature of the task to be carried out. Before choosing which clustering algorithm to use one needs to be aware of the nature of the task to be done and then determine the algorithm accordingly, based on the capabilities and performance metrics of that algorithm. This paper makes an...
This work describes a way to optimize the controller fixed-point representation in programmable logic devices (eg. FPGA) with genetic algorithms. The optimization uses the error between floating-point and fixed-point representation as well as a quantization noise error model. Thus, both terms allow weighting between the to be expected theoretical and actually occurred simulation error. This task could...
The information extraction and recognition of speech emotional information under the noise environment has been the research hotspot and difficulty, which limits the application of speech emotion recognition technology. An improved spectral subtraction algorithm is presented based on the analysis on the basic principle of spectral subtraction. According to the distribution of noise, the improved algorithm...
We are to introduce the basic fast digital coherent demodulation algorithms for the radio signals with various modulation formats, the ones that require the minimum number of simple arithmetic operations. We are demonstrating how they provide the implementation of the demodulators of the phase-shift keyed and the amplitude-modulated signals. We have determined the expressions for the probabilities...
Line tracking is important for numerous applications of the machine vision, including control of line following robots. Local lacunarity for binary images allows the estimation of line by the detection of spatial differences using statistical properties of textures. Additional tracking algorithm improves the line detection by application of motion model. Such approach allows the extended width line...
Noisy 3D point clouds arise in many applications. They may be due to errors when creating a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a technique that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short...
The normalized least mean pth power (NLMP) algorithm based on adaptive Volterra filters has conflicting requirement of fast convergence rate and low steady-state error. To address this problem, a novel combination of two NLMP (CNLMP) algorithms is proposed which adaptively combines two independent NLMP filters with large and small step sizes to obtain fast convergence rate and low misadjustment in...
This paper deals with active noise control (ANC) for impulsive noise sources for which the filtered-x least mean square (FxLMS) algorithm becomes unstable. By minimizing the fractional lower order moment, the resulting filtered-x least mean p-power (FxLMP) algorithm has an update vector being computed using sign operator and fractional power of the residual error signal. This results in improved robustness...
After four years of development of the Image Processing On Line journal (IPOL), this article presents a first analysis and overview of its scientific and technical development. The main issues met and overcome from the beginning of the journal are described with a focus on the purpose of the journal to establish a state of the art on the main Image Processing topics. The evolution of the online demonstration...
A radar signal recognition can be accomplished by exploiting the particular features of a radar signal observed in presence of noise. The features are the result of slight radar component variations and acts as an individual signature. The paper describes radar signal recognition algorithm based on time frequency analysis, noise reduction and statistical classification procedures. The proposed method...
An article is dedicated to creation of locally-optimal robust algorithm of non-Gaussian signal detection on the base of sampling statistical analysis and to investigation of the algorithm effectiveness.
Compressed sensing allows for stable reconstruction of sparse source vectors from noisy, linear measurement vectors of much lower dimension than the source vectors. In many applications, low-bit rate quantization is unavoidable or even desired in further processing of the signal, and suitable algorithms need to be developed for minimizing negative effects on the recovered source signal due to the...
An electrocardiogram (ECG) signal noise caused by different source e.g. power line interference (PLI), muscle and motion artifacts etc. Eliminating signal noise from ECG signal will increase the accuracy in diagnosis disease. In this paper, we propose sinusoid kernel function on Gaussian process (GP) to eliminate power line interference (50Hz or 60Hz) for electrocardiogram (ECG) signal. Expressing...
Active Noise Canceller has become very common in modern day to day electronic equipment. The adaptive filters installed inside this canceller play a crucial role in noise cancellation. The computational complexity as well as the structural complexity of the filter is an important factor to be considered for the overall performance. This depends on the structure of the filter. The structure depends...
A hardware architecture for the single iteration algorithm is proposed in this paper. Single iteration algorithm enables reconstruction of the full signal when small number of signal samples is available. The algorithm is based on the threshold calculation, and allows distinguishing between signal components and noise that appears as a consequence of missing samples. The proposed system for hardware...
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