rectangular function造句

例句与造句

1. This function has the appearance of a smoothed top-hat or rectangular function.
2. The normalized sinc function is the Fourier transform of the rectangular function with no scaling.
3. where H is the rectangular function.
4. The filter's impulse response is a sinc function in the time domain, and its frequency response is a rectangular function.
5. If c is the rectangular function, then n is the number of pixels in the mask which are within t of the nucleus.
6. It's difficult to find rectangular function in a sentence. 用rectangular function造句挺难的
7. Using convolution, we can describe the finite real crystal structure as [ lattice ] \ ast [ basis ] \ times rectangular function, where the rectangular function has a value 1 inside the crystal and 0 outside it.
8. Using convolution, we can describe the finite real crystal structure as [ lattice ] \ ast [ basis ] \ times rectangular function, where the rectangular function has a value 1 inside the crystal and 0 outside it.
9. For example, the Fourier transform of the rectangular function, which is integrable, is the sinc function, which is not Lebesgue integrable, because its improper integrals behave analogously to the alternating harmonic series, in converging to a sum without being absolutely convergent.
10. Notably, the frequency response of the rectangular filter is the sinc function ( the rectangular function and the sinc function are Fourier dual to each other ), and thus truncation of a filter in the time domain corresponds to multiplication by the rectangular filter, thus convolution by the sinc filter in the frequency domain, causing ripple.
11. In cases where the signal envelope and spectrum modulus are defined by smoothly varying Gaussian function then a T . F product as low as 15 will give acceptable results, but if both a ( t ) and | S ( ) | are defined by rectangular functions, then the product T . F needs to be much greater, typically over 100.
12. In particular, you can choose a " position basis " : f ( x ) = \ sum _ i a _ i R _ i ( x ) where a _ i is the value at x = i and R _ i ( x ) is a rectangular function centered at x = i ( this works for continuous functions too, only using integrals and Dirac functions rather than sums and rectangular functions ) . a _ i are the " coordinates ", R _ i ( x ) is the " basis ".
13. In particular, you can choose a " position basis " : f ( x ) = \ sum _ i a _ i R _ i ( x ) where a _ i is the value at x = i and R _ i ( x ) is a rectangular function centered at x = i ( this works for continuous functions too, only using integrals and Dirac functions rather than sums and rectangular functions ) . a _ i are the " coordinates ", R _ i ( x ) is the " basis ".