ó Ä 9jòãó•SSKJr SSKrSSKrSSKJr \R "SSSSS9r\R "SS S S S9rS rS r \R "SSSSS9r Sr \R "SSSSS9r Sr \R "SS SSS9rSrg)é)Ú annotationsN)Ú_corez float32 alphaz float64 outzH out = 0.42 - 0.5 * cos(i * alpha) + 0.08 * cos(2 * alpha * i); Ú cupy_blackman)ÚnamezT arrzY if (i < alpha) arr = i / alpha; else arr = 2.0 - i / alpha; Ú cupy_bartlettcóø•US:Xa#[R"S[RS9$US::a[R"/5$US- S- n[R"U[RS9n[ X5$)a€Returns the Bartlett window. The Bartlett window is defined as .. math:: w(n) = \frac{2}{M-1} \left( \frac{M-1}{2} - \left|n - \frac{M-1}{2}\right| \right) Args: M (int): Number of points in the output window. If zero or less, an empty array is returned. Returns: ~cupy.ndarray: Output ndarray. .. seealso:: :func:`numpy.bartlett` é©Údtyperç@)ÚcupyÚonesÚfloat64ÚarrayÚemptyÚ_bartlett_kernel©ÚMÚalphaÚouts ÚK/home/wildlama/miniconda3/lib/python3.13/site-packages/cupy/_math/window.pyÚbartlettrsa€ð( ˆAƒvÜyŠy˜¤$§,¡,Ñ/Ð/؈AƒvÜzŠz˜"‹~ÐØ ‰Uc‰M€EÜ *Š*QœdŸl™lÑ +€CÜ ˜EÓ 'Ð'ócó•US:Xa#[R"S[RS9$US::a[R"/5$[R S-US- - n[R "U[RS9n[X5$)a§Returns the Blackman window. The Blackman window is defined as .. math:: w(n) = 0.42 - 0.5 \cos\left(\frac{2\pi{n}}{M-1}\right) + 0.08 \cos\left(\frac{4\pi{n}}{M-1}\right) \qquad 0 \leq n \leq M-1 Args: M (:class:`~int`): Number of points in the output window. If zero or less, an empty array is returned. Returns: ~cupy.ndarray: Output ndarray. .. seealso:: :func:`numpy.blackman` r r ré)r rrrÚnumpyÚpirÚ_blackman_kernelrs rÚblackmanr8sj€ð( ˆAƒvÜyŠy˜¤$§,¡,Ñ/Ð/؈AƒvÜzŠz˜"‹~ÐÜ H‰Hq‰L˜A ™EÑ "€EÜ *Š*QœdŸl™lÑ +€CÜ ˜EÓ 'Ð'rz- out = 0.54 - 0.46 * cos(i * alpha); Ú cupy_hammingcó•US:Xa#[R"S[RS9$US::a[R"/5$[R S-US- - n[R "U[RS9n[X5$)atReturns the Hamming window. The Hamming window is defined as .. math:: w(n) = 0.54 - 0.46\cos\left(\frac{2\pi{n}}{M-1}\right) \qquad 0 \leq n \leq M-1 Args: M (:class:`~int`): Number of points in the output window. If zero or less, an empty array is returned. Returns: ~cupy.ndarray: Output ndarray. .. seealso:: :func:`numpy.hamming` r r rr)r rrrrrrÚ_hamming_kernelrs rÚhammingr#]ój€ð& ˆAƒvÜyŠy˜¤$§,¡,Ñ/Ð/؈AƒvÜzŠz˜"‹~ÐÜ H‰Hq‰L˜A ™EÑ "€EÜ *Š*QœdŸl™lÑ +€CÜ ˜5Ó &Ð&rz+ out = 0.5 - 0.5 * cos(i * alpha); Ú cupy_hanningcó•US:Xa#[R"S[RS9$US::a[R"/5$[R S-US- - n[R "U[RS9n[X5$)arReturns the Hanning window. The Hanning window is defined as .. math:: w(n) = 0.5 - 0.5\cos\left(\frac{2\pi{n}}{M-1}\right) \qquad 0 \leq n \leq M-1 Args: M (:class:`~int`): Number of points in the output window. If zero or less, an empty array is returned. Returns: ~cupy.ndarray: Output ndarray. .. seealso:: :func:`numpy.hanning` r r rr)r rrrrrrÚ_hanning_kernelrs rÚhanningr(r$rzfloat32 beta, float32 alphaz„ float temp = (i - alpha) / alpha; arr = cyl_bessel_i0(beta * sqrt(1 - (temp * temp))); arr /= cyl_bessel_i0(beta); Ú cupy_kaisercóâ•US:Xa[R"S/5$US::a[R"/5$US- S- n[R"U[RS9n[ XU5$)a Return the Kaiser window. The Kaiser window is a taper formed by using a Bessel function. .. math:: w(n) = I_0\left( \beta \sqrt{1-\frac{4n^2}{(M-1)^2}} \right)/I_0(\beta) with .. math:: \quad -\frac{M-1}{2} \leq n \leq \frac{M-1}{2} where :math:`I_0` is the modified zeroth-order Bessel function. Args: M (int): Number of points in the output window. If zero or less, an empty array is returned. beta (float): Shape parameter for window Returns: ~cupy.ndarray: The window, with the maximum value normalized to one (the value one appears only if the number of samples is odd). .. seealso:: :func:`numpy.kaiser` r gð?rr r )r rrrÚ_kaiser_kernel)rÚbetarrs rÚkaiserr-§s_€ð4 ˆAƒvÜzŠz˜2˜$ÓÐ؈AƒvÜzŠz˜"‹~ÐØ ‰Uc‰M€EÜ *Š*QœdŸl™lÑ +€CÜ ˜$ sÓ +Ð+r)Ú __future__rrr rÚElementwiseKernelrrrrr"r#r'r(r+r-©rrÚr1sÎðÝ"ã ã Ýà×*Ò*ØØðàñ Ðð×*Ò*ØØ ðð ñÐò(ò:(ð:×)Ò)ØØðàñ €ò'ð8×)Ò)ØØðàñ €ò'ð8×(Ò(Ø!Ø ððñ€ó ,r