Signal processing algorithms
Signal processing algorithms for digital hearing aids
... sound signal is “separated” into a number of frequency bands aiming at some frequency bands, such as, for instance, the high-frequency bands or the bands that contain the speech information being more amplified ...
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Efficient hardware architectures for the computation of the FFT and other related signal processing algorithms in real time
... The RFFT plays an important role in different real-time applications. In medical ap- plications such as ECG (Electrocardiography) [68] or EEG (Electroencephalography) [69], the power spectral density (PSD) of various ...
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Bayesian signal processing techniques for GNSS receivers: from multipath mitigation to positioning
... the signal processing algorithms applied after signal ...These algorithms can be divided into two: synchronization and ...the signal traveling from its emission at the ...
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El uso de efectos de polarización en amplificadores ópticos semiconductores para realizar el procesamiento de señales en el dominio óptico
... pump signal is 1538 nm and the wavelength of the probe signal is varied between 1535 nm and 1570 ...pump signal is modulated at ...probe signal is injected with a power of ...amplified ...
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ACOUSTIC PARTICLE VELOCITIES MEASUREMENT BY MEANS OF LASER DOPPLER VELOCIMETRY : APPLICATION TO HARMONIC ACOUSTIC FIELDS IN FREE SPACE WITH WEAK FLOW
... output signal is called the Doppler ...the signal to noise ratio (SNR) of the Doppler signal is ...Doppler signal due to the low intensity of the scattered light (about 100 times lower than ...
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Robust Signal Processing in Cardiac Signals: Applications in Heart Rate Variability, Heart Rate Turbulence and Fibrillatory Arrhythmias
... new signal processing method, the SVM interpolation, has been proposed for denoising PPT signals in ...denoising algorithms also were shown to yield similar spec- tral profiles of ...tested ...
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Study of the effects of signal filtering on the processing gain in acousto-optic correlators
... The processing gain is defined as the enhancement obtained in the signal to noise ratio (SNR) as the signal goes through the ...the processing gain is equal to the spreading factor N ...
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Signal-Processing tools for core-collection selection from genetic-resource collection
... values selected for SNP’s numerical representation of genotypes aim to maintain equidistance relations among purines and among pyrimidines in such a man- ner that the same distance is also perserved between at least one ...
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Image and Signal Processing for Networked E-Health Applications – Ilias G. Maglogiannis
... decoding effort. When lossy algorithms are employed, a portion of the data is deemed either unnecessary to retain or “almost” correlated with another portion and thus can be dismissed. In the case of audio ...
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Application of Multi core and GPU Architectures on Signal Processing: Case Studies
... As it can be checked in Figure 8, apart from the convex combinations, the rest can be executed in a parallel way. Therefore, the execution time has been reduced to the time that a single filters needs to carry out the ...
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On the Hardware Implementation of Triangle Traversal Algorithms for Graphics Processing
... impressive processing rates in graphical applications because of their specialized graphics ...different algorithms in hardware: bounding-box, zig-zag and Hilbert ...image processing ...
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A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
... the signal in figure 2, he can get information about the signal ...the signal is “noisy” at the ...the signal with precision but we are aware of the ...the signal trajectory between ...
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Improved Signal Processing Techniques for Passive Radar Applications Design of a Technological Demonstrator
... of big µ for those oeients that hanges more quikly in eah iteration. The individual weight evolution is managed using the ross orrelation funtion R(n) between S REF (n) and the output of the ltering proess. An estudy of ...
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Area-Efficient Linear Regression Architecture for Real-Time Signal Processing on FPGAs
... Three schemes proposed in previous sections have been imple- mented in a Xilinx Virtex5 XC5VSX95T-2 FPGA obtaining the results presented in table II. All the results presented in this section include both the area of the ...
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High Performance Signal Processing-Based Collision Resolution for Random Access Schemes
... in signal processing tech- niques such as interference cancellation (IC) and strong forward error correction (FEC) coding ...different algorithms for mitigating interference between users ...IC ...
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Development of a Low-Cost, Short-Range Radar System to Measure Speed and Distance
... the signal received and performs a discrete Fourier transform (DFT) in quick time (Inter-ramp: inversely related to the sampling frequency of the signals; the DFT is performed along the samples from each ramp ...
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Applications of rigged Hilbert spaces in quantum mechanics and signal processing
... In terms of possible applications, it may be relevant the decomposition of RHS into direct sums of RHS. This implies that in a physical system or in a signal we can single out —with great freedom— what we consider ...
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Signal processing techniques for agro-industrial machinery monitoring
... on signal processing of the acquired mechanical vibration signals from an accelerometer placed on the chassis of an agricultural harvester, was proposed to estimate the mechanical status of several ...
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JSON-LD 1.0 processing algorithms and API
... To understand the basics in this specification you must first be familiar with JSON, which is detailed in [RFC4627]. You must also understand the JSON-LD syntax defined in [JSON-LD], which is the base syntax used by all ...
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