In order to solve the problem that traditional method of manually extracting expert features for communication signal recognition has large limitations and low accuracy under signal-to-noise ratio, this paper proposes an automatic modulation robot based on deep learning neural network. method, received is preprocessed obtain complex baseband including in-phase component quadrature component. Th...

Students often have a difficult time understanding what convolution is. Students can often evaluate the convolution integral (continuous time case), convolution sum (discrete-time case), or perform graphical convolution but may not have a good grasp of what is happening. In other words, students can solve the formula but often do not understand the result or why they get that result. Most engin...

in [1,2,3], a. c. baker and j.w. baker studied the subspace ma(s) of the convolution measure algebra m, (s) of a locally compact semigroup. h. dzinotyiweyi in [5,7] considers an analogous measure space on a large class of c-distinguished topological semigroups containing all completely regular topological semigroups. in this paper, we extend the definitions to study the weighted semigroup algeb...

6 Quadrature Mirror Filter QMF Bank. 1 Errors Created in the QMF Bank. 2 A Simple Alias-Free QMF.Thus, the name quadrature mirror filter is a misnomer, when M 2. However, this has become more or less standard, and there is no reason to change the.In digital signal processing, a quadrature mirror filter is a filter whose magnitude response is the mirror image around pi2 of that of another filter...

Convolution is a critical component in modern deep neural networks, thus several algorithms for convolution have been developed. Direct convolution is simple but suffers from poor performance. As an alternative, multiple indirect methods have been proposed including im2colbased convolution, FFT-based convolution, or Winograd-based algorithm. However, all these indirect methods have high memory-...

A simple technique is presented to realize a digitally programmable voltage mode quadrature oscillator using second generation current conveyors. Firstly, the current conveyors based tunable quadrature oscillator is realised. A digital block is introduced in the realized tunable quadrature oscillator so that the oscillator can be controlled digitally. The realized Digitally Programmable Quadrat...

The rst part of this thesis concerns the formulation of numerical methods that are local in time for the solution of equations with memory. The main idea is that the solution will be updated in the Fourier domain in order to avoid evaluating time convolution integrals that have memory. This work was made possible by the development of a good quadrature[31] of the Fourier integral where a small ...

Abstract In this work, three different integration techniques, which are the numerical, semi-analytical and exact integration techniques are briefly reviewed. Numerical integrations are carried out using three different Quadrature rules, which are the Classical Gauss Quadrature, Gauss Legendre and Generalized Gaussian Quadrature. Line integral method is used to perform semi-analytical integrati...

In this paper we set out to understand Filon-type quadrature of highly-oscillating integrals of the form ∫ 1 0 f (x)e iωg(x)dx , where g is a real-valued function and ω 1. Employing ad hoc analysis, as well as perturbation theory, we demonstrate that for most functions g of interest the moments behave asymptotically according to a specific model that allows for an optimal choice of quadrature n...

In an earlier paper [1], the author introduced the notion of convolution of Riemannian manifolds. In [1] he also provided some examples and applications of convolution manifolds. In this paper we use tensor product to construct more examples of convolution manifolds and investigate fundamental properties of convolution manifolds. In particular, we study the relationship between convolution mani...