A general approach to constructing differential algorithms of digital signal processing (DSP) which contain the corresponding transformation functions is provided. As an example the discrete Fourier transform algorithms, implemented using this approach, and some derivative algorithms—Hartley transform, short-time Fourier transform and lapped transform, cosine transform, and Mellin, Hilbert and wavelet transforms are presented. The use of these algorithms allows increasing efficiency and processing power of DSP
According to Wang, there are four different types of DCT (discrete cosine transform) and DST (discre...
This thesis deals with a new approaches to the fast computation of discrete Fourier-like signal tran...
Signal Processing (SP) is a subject of central importance in engineering and the applied sciences. S...
A thorough guide to the classical and contemporary mathematical methods of modern signal and image p...
Some practical extensions to digital signal processing techniques are presented. Firstly, an account...
The field of signal processing has seen explosive growth during the past decades; almost all textboo...
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP)....
A generalization of the discrete Fourier transform in the form of a parametric discrete Fourier tran...
A broad class of efficient discrete Fourier transform algorithms is developed by partitioning short ...
This textbook for undergraduate mathematics, science, and engineering students introduces the theory...
Discrete Fourier Analysis and Wavelets presents a thorough introduction to the mathematical foundati...
Digital Signal Processing (DSP) deals with the representation of signals in the digital form, and w...
This paper introduces the theory and hardware im-plementation of two new algorithms for computing a ...
In this paper we systematically derive a large class of fast general-radix algorithms for various ty...
This book provides an introduction to discrete harmonic analysis (DHA) with a view towards applicati...
According to Wang, there are four different types of DCT (discrete cosine transform) and DST (discre...
This thesis deals with a new approaches to the fast computation of discrete Fourier-like signal tran...
Signal Processing (SP) is a subject of central importance in engineering and the applied sciences. S...
A thorough guide to the classical and contemporary mathematical methods of modern signal and image p...
Some practical extensions to digital signal processing techniques are presented. Firstly, an account...
The field of signal processing has seen explosive growth during the past decades; almost all textboo...
The book provides a comprehensive exposition of all major topics in digital signal processing (DSP)....
A generalization of the discrete Fourier transform in the form of a parametric discrete Fourier tran...
A broad class of efficient discrete Fourier transform algorithms is developed by partitioning short ...
This textbook for undergraduate mathematics, science, and engineering students introduces the theory...
Discrete Fourier Analysis and Wavelets presents a thorough introduction to the mathematical foundati...
Digital Signal Processing (DSP) deals with the representation of signals in the digital form, and w...
This paper introduces the theory and hardware im-plementation of two new algorithms for computing a ...
In this paper we systematically derive a large class of fast general-radix algorithms for various ty...
This book provides an introduction to discrete harmonic analysis (DHA) with a view towards applicati...
According to Wang, there are four different types of DCT (discrete cosine transform) and DST (discre...
This thesis deals with a new approaches to the fast computation of discrete Fourier-like signal tran...
Signal Processing (SP) is a subject of central importance in engineering and the applied sciences. S...