Linear convolution is one of the most frequent computations carried out in digital signal processing (DSP). The standard method for computing a linear convolution is to zero-tap, turning the linear convolution into a cyclic convolution, and to use the convolution theorem, which replaces the ...
The outputs of the two SFBs are then added together before the convolution with the propagation channel impulse response and the corruption by the complex AWGN (see Fig. 2). At the receiver side (see Fig. 3), the received signal, z(m), is processed by the analysis filter bank number ...
In particular, linear filtering is the simplest approach, which in classical DSP is mathematically modeled via a (linear) convolution operation. A linear filtering operator L{⋅} in classical DSP acts over a discrete-time input signal x[n] to produce an output y[n] as follows: (14.31)y[...
Using the convolution theorem, we can see that the Fourier transform of the impulse response h(t) is the transfer function H(ω). The Dirac delta function is an interesting function. In fact, it is not clear that it is a function at all. It has an integral that is clearly one, but...
it has a higher speed and accuracy.In addition,the amount of convolution operation which other algorithms like the template method must use is greatly reduced in this method.Besides,this method has a good real-time performance,which makes it suitable for embedded platform under the background of...
In order to improve its performance,this paper proposes bicubic convolution template algorithm:make the bicubic interpolation discrete and infer 16 templates,in which the original real operations are replaced by integer operations. 双三次插值是图像空域变换的经典算法,可用于图像旋转和放缩等灰度插值。 更...
Courses in signal processing and linear systems cover topics such as convolution, Fourier analysis, frequency response, and system stability, which are essential for students to grasp the fundamental principles underlying the behavior of signals and systems. Moreover, practical laboratory exercises and ...
Note that although LCNet-ViT backbone leads to better mAP, it also introduces more MACs as compared to effi- cient convolutions. As such, LCNet-ViT still slightly under- performs LCNet backbones in terms of accuracy-efficiency trade-offs, since...
6 Attributes of periodic function Amplitude: max value of g(t) in any period Period: P Frequency: 1/P, cycles per second, Hz Phase: position of the function within a period 7 Time and Frequency example : g(t) = sin(2pf t) + (1/3)sin(2p(3f) t) ...
It will be evident to one skilled in the art that the spectrum produced by the transform is therefore the convolution of the true signal spectrum with the transform of the rectangular window function, which will of course introduce extra unwanted frequency components (as explained for example in ...