Researchers

Results 41-60 of 400
Issue DateTitleAuthor(s)TypeМp-cat.
2022Stability Study of the Second Order Recursive Filter in DPCM SystemDanković, Nikola  ; Perić, Zoran  ; Antić, Dragan  ; Jocić, Aleksandar  ; Nikolić, Saša  ; Kocić, IgorConference Paper
Mp. category will be shown later
2022Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional SpeechSimić, Nikola B.  ; Suzić, Siniša B.  ; Nosek, Tijana V.  ; Vujović, Mia; Perić, Zoran H.  ; Savic, Milan  ; Delić, Vlado D.  Article
22M22
2022Performance Analysis of a 2-bit Dual-Mode Uniform Scalar Quantizer for Laplacian SourcePerić, Zoran  ; Denić, Bojan  ; Jovanović, Aleksandra  ; Milosavljević, Srdjan  ; Savić, Milan  Article
23M23
2022Piecewise Uniform Quantization for One-Dimensional Two-Component GMMJovanović, Aleksandra  ; Perić, Zoran  ; Vucic, Nikola  Conference Paper
Mp. category will be shown later
2022Analysis of Neural Network Accuracy Degradation due to Uniform Weight Quantization of One or More LayersNikolic, Jelena RA  ; Tomic, Stefan S; Peric, Zoran H  ; Aleksic, Danijela RConference Paper
Mp. category will be shown later
2022Model of Improved Floating Point 32-bits QuantizerVucic, Nikola  ; Perić, Zoran H.  ; Jovanović, Aleksandra Ž.  Conference Paper
Mp. category will be shown later
2022Novel exponential type approximations of the Q-functionNikolić, Jelena  ; Perić, Zoran  Article
52M52
2022OPTIMIZATION AND PERFORMANCE ANALYSIS OF THE 30-BIT FIXED-POINT DIGITAL FORMATDinčić, Milan  ; Perić, Zoran  ; Denić, Dragan  Article
52M52
2021Quantization of Weights of Neural Networks with Negligible Decreasing of Prediction AccuracyPerić, Zoran  ; Denić, Bojan  ; Savić, Milan  ; Dinčić, Milan  ; Mihajlov, Darko  Article
23M23
2021Symmetric Quantile Quantizer Parameterization for the Laplacian Source: Qualification for Contemporary Quantization SolutionsPeric, Zoran H  ; Nikolic, Jelena RA  ; Aleksic, Danijela R; Peric, Anastasija ZArticle
22M22
2021SQNR analysis and classification accuracy of the 24-bit floating point representation of the Laplacian data Source applied for quantization of weights of a multilayer perceptronDinčić, Milan  ; Perić, Zoran  ; Savić, Milan  ; Milojković, Marko  ; Vučić, Nikola  Conference Paper
Mp. category will be shown later
2021Design of a 2-Bit Neural Network Quantizer for Laplacian SourcePerić, Zoran  ; Savic, Milan  ; Simić, Nikola  ; Denić, Bojan  ; Despotović, Vladimir Article
21M21
2021Support region of μ-law logarithmic quantizers for Laplacian source applied in neural networksDinčić, Milan R.  ; Perić, Zoran H.  ; Tančić, Milan Ž.  ; Denić, Dragan B.  ; Stamenković, Zoran; Denić, Bojan D.  Article
22M22
2021A Dual-Mode 2-bit Uniform Scalar Quantizer for Data with Laplacian DistributionPerić, Zoran  ; Denić, Bojan  ; Jovanović, Aleksandra  ; Savić, Milan  ; Vucic, Nikola  ; Nikolić, Anastasija Conference Paper
Mp. category will be shown later
2021Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian DistributionPerić, Zoran  ; Denić, Bojan  ; Dinčić, Milan  ; Nikolić, Jelena  Article
22M22
2021Iterative algorithm for designing asymptotically optimal uniform scalar quantisation of the one-sided Rayleigh densityJovanović, Aleksandra  ; Perić, Zoran  ; Nikolić, Jelena  Article
22M22
2021The Effect of Uniform Data Quantization on GMM-based Clustering by Means of EM AlgorithmJovanović, Aleksandra  ; Perić, Zoran  ; Nikolić, Jelena  ; Aleksić, DanijelaConference Paper
Mp. category will be shown later
2021Floating Point and Fixed Point 32-bits Quantizers for Quantization of Weights of Neural NetworksPeric, Zoran  ; Savic, Milan  ; Dincic, Milan  ; Vucic, Nikola  ; Djosic, Danijel  ; Milosavljevic, Srdjan  Conference Paper
Mp. category will be shown later
2021Two-Dimensional GMM-Based Clustering in the Presence of Quantization NoiseJovanović, Aleksandra  ; Perić, Zoran  Article
51M51
2021Fixed Point 32 Bits Quantizer for Quantization of Laplacian SourcePerić, Zoran  ; Jovanović, Aleksandra  ; Dinčić, Milan  ; Savić, Milan  ; Vučić, Nikola  ; Nikolić, Anastasija Conference Paper
Mp. category will be shown later