Searched refs:FFT (Results 1 – 18 of 18) sorted by relevance
/external/eigen/unsupported/Eigen/ |
D | FFT | 23 * #include <unsupported/Eigen/FFT> 40 * half-spectrum for real FFT. 44 * We think the default behavior of Eigen/FFT should favor correctness and 51 * IFFT(FFT(x)) = Kx; this is done to avoid a vector-by-value multiply. 55 * How Eigen/FFT differs: invertible scaling is performed so IFFT( FFT(x) ) = x. 57 * 2) Real FFT half-spectrum 59 * sample for the Nyquist bin) for a real FFT, the other half is the 64 * How Eigen/FFT differs: The full spectrum is returned from the forward 74 # include "src/FFT/ei_fftw_impl.h" 82 # include "src/FFT/ei_imklfft_impl.h" [all …]
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D | CMakeLists.txt | 1 set(Eigen_HEADERS AdolcForward AlignedVector3 ArpackSupport AutoDiff BVH FFT IterativeSolvers Krone…
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/external/eigen/unsupported/test/ |
D | FFTW.cpp | 80 typedef typename FFT<T>::Complex Complex; in test_scalar_generic() 81 typedef typename FFT<T>::Scalar Scalar; in test_scalar_generic() 85 FFT<T> fft; in test_scalar_generic() 143 typedef typename FFT<T>::Complex Complex; in test_complex_generic() 146 FFT<T> fft; in test_complex_generic() 217 FFT<float> fft; in test_return_by_value()
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D | CMakeLists.txt | 38 ei_add_test(FFT)
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/external/opencv3/cmake/ |
D | OpenCVDetectOpenCL.cmake | 53 DOC "AMD FFT root directory" 73 DOC "AMD FFT root directory"
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D | FindCUDA.cmake | 269 # CUDA_CUFFT_LIBRARIES -- Device or emulation library for the Cuda FFT
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/external/opencv3/doc/py_tutorials/py_imgproc/py_transforms/py_fourier_transform/ |
D | py_fourier_transform.markdown | 9 - To utilize the FFT functions available in Numpy 18 called **Fast Fourier Transform (FFT)** is used for calculation of DFT. Details about these can be 41 First we will see how to find Fourier Transform using Numpy. Numpy has an FFT package to do this. 45 calculation of FFT. If it is less than input image, input image will be cropped. If no arguments 77 **np.fft.ifftshift()** so that DC component again come at the top-left corner. Then find inverse FFT 180 manually pad zeros. But for Numpy, you specify the new size of FFT calculation, and it will 226 functions. This can be tested for inverse FFT also, and that is left as an exercise for you. 233 the fourier transform of Laplacian for some higher size of FFT. Analyze it:
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/external/eigen/unsupported/Eigen/src/FFT/ |
D | CMakeLists.txt | 5 DESTINATION ${INCLUDE_INSTALL_DIR}/unsupported/Eigen/src/FFT COMPONENT Devel
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/external/eigen/unsupported/Eigen/src/ |
D | CMakeLists.txt | 3 ADD_SUBDIRECTORY(FFT)
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/external/valgrind/perf/ |
D | README | 50 - Description: Does a Fast Fourier Transform (FFT). 52 elements), FFT is a very important operation.
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/external/eigen/bench/ |
D | benchFFT.cpp | 51 FFT< Scalar > fft; in bench()
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/external/eigen/unsupported/doc/examples/ |
D | FFT.cpp | 82 static FFT<Scalar> fft; in fwd_inv()
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/external/valgrind/drd/scripts/ |
D | run-splash2 | 198 run_test ${SPLASH2}/codes/kernels/fft/FFT -t -l$((log2_cache_size/2)) -m16
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/external/opencv3/cmake/templates/ |
D | cvconfig.h.in | 49 /* NVidia Cuda Fast Fourier Transform (FFT) API*/
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/external/webrtc/webrtc/modules/audio_processing/ns/ |
D | ns_core.c | 887 static void FFT(NoiseSuppressionC* self, in FFT() function 1087 FFT(self, winData, self->anaLen, self->magnLen, real, imag, magn); in WebRtcNs_AnalyzeCore() 1267 FFT(self, winData, self->anaLen, self->magnLen, real, imag, magn); in WebRtcNs_ProcessCore()
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/external/speex/libspeex/ |
D | fftwrap.c | 306 #error No other FFT implemented
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/external/chromium-trace/catapult/tracing/docs/ |
D | trace-viewer-internals.md | 45 * Slices (the FFT::compute function ran from 0.7s to 0.9s)
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/external/opencv3/ |
D | CMakeLists.txt | 164 OCV_OPTION(WITH_CUFFT "Include NVidia Cuda Fast Fourier Transform (FFT) library support" … 203 OCV_OPTION(WITH_OPENCLAMDFFT "Include AMD OpenCL FFT library support" ON IF (NOT ANDROID A…
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