Mykhaylo Yatsymirskyy

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The paper presents a novel approach to the construction and learning of linear neural networks based on fast orthogonal transforms. The orthogonality of basic operations associated with the algorithm of a given transform is used in order to substantially reduce the number of adapted weights of the network. Two new types of neurons corresponding to(More)
In this paper the authors show that for sequential processors the usage of lattice structures reduces almost by the factor of two the computational time of the filtering process performed by two-channel orthogonal filter bank with respect to the direct method of calculating the convolution. In addition authors give the derivation and perform the analysis of(More)
Multipitch estimation, also known as multiple fundamental frequency (Fo) estimation, is an important part of the Music Information Retrieval (MIR) field. The usual approach to this problem consists of two basic steps - transforming the source sound signal from time domain to a different form and using a certain method of analysis to obtain the frequencies(More)
In this paper, we present the results of comparison of the effectiveness of selected variants of radix-2 Fast Fourier Transform (FFT) algorithms implemented on both Graphics (GPU) and Central (CPU) Processing Units. The considered algorithms differ in memory consumption and the arrangement of data-flow paths which affects the global memory coalescing and(More)