Generalized cross-correlation phase transform (GCC-PHAT) SegmentationTime difference of arrival (TDOA)In this paper, we proposed an improved Generalized Cross-Correlation Phase Transform (GCC-PHAT) based on segmentation to estimate a time difference of arrival (TDOA). Traditionally, a GCC-PHAT ...
In this paper, we conduct an experimental investigation into the effect of the distance between two microphones for real-time sound localization using the generalized cross-correlation phase transform technique (GCC-PHAT). We have used t... B Douaer,F Ykhlef,F Ykhlef 被引量: 0发表: 2021年...
However, these transforms are suffering from low cross-correlation features. This problem can be addressed by using GDFT transform. This paper describes the optimization of Generalized Discrete Fourier Transform with Non-Linear Phase for code division multiple access (CDMA). We have also implemented ...
(Time Delay of Arrival, TDOA)估測與方位角度估測,其中語音活動偵測結合了對數能量分析(Log Energy)與頻譜亂度分析(Entropy)來增加判定的準確性與降低總計算量.時間延遲估測的部分使用廣義交互相關函數(Generalized Cross Correlation, GCC),並以拋物線內插法來增加時間延遲估測的準確性.在方位角度估測是依據麥克風...
HE score increases with the strength of the correlation between successive values. The following equation is used to calculate the HE of a binary sequence D of length \(n\), where \(D_{i}\) represents the ith element of the binary sequence D. $$\frac{\Phi \left( n \right)}{{{\...
Design of Generalized Discrete Fourier Transform with Non Linear Phase on Real Time System Mr. Umesh P. Sakhare,Prof. Lalit Dole Keywords: Spread Spectrum , Bandwidth , Generalized Discrete Fourier Transform , Auto-Correlation function , Cross- Cross Correlation function , Bit Interference , PN Sequ...
A preliminary GENFIRE reconstruction was performed and used as input to the refinement loop which was run for a total of 5 iterations with an angular search range of ±3° with 0.2° steps, and with normalized cross-correlation as the error metric. The results of this simulation are shown ...
A surrogate time series \(\hat{{\bf{x}}}(t)\) can be obtained by randomising the phase structure of the original signal x(t) in the time-frequency domain. As the Morlet wavelet is a complex function, we can therefore write the wavelet transform \({W}_{x}(t,f)\) in terms of...
Cross-correlations were calculated by converting the individual PDBs to density maps with a pixel size of 1 nm, aligning them pairwise with EMAN2 and calculating the cross-correlation of the aligned pairs. To maximize the value for training, we selected proteins so that all pairs except 3 ...
To effectively perform SS in a non-Gaussian noise environment, we have utilized a cross-attention mechanism to fuse time-domain and frequency-domain features, enabling the model to adaptively learn the correlations between time-frequency features and dynamically assign corresponding frequency-domain featu...