| Name | Brief | Example |
|---|---|---|
| apply_window_data | Apply window to the signal | Examples |
| correlation_2d_shift_accumulate | Perform 2d correlation on real matrices basing shift-matrix-accumulated algorithm. | Examples |
| create_bandblock_data | Generate bandblock Responses data. | Examples |
| create_bandpass_data | Generate bandpass Responses data. | Examples |
| create_highpass_data | Generate highpass Responses data. | Examples |
| create_lowpass_data | Generate lowpass Responses data. | Examples |
| create_response_data | Generate Responses data. | Examples |
| FFT | These two Functions will do the 1 dimension Fast Fourier Transform. Data matrix should be of type double. If user have the data matrix in integer form, user should first transform it to double using the member function of matrixbase "CastToDouble". | Examples |
| fft_2d_complex | Perform 2d complex FFT | Examples |
| fft_2d_correlation | Perform 2d correlation on real matrices basing FFT algorithm. | Examples |
| fft_2d_real | Performs nFFTRow*nFFTCol-point discrete 2D Fourier transform or 2D inverse Fourier transform. | Examples |
| fft_amp | Calculate frequcy and ampilitude. | Examples |
| fft_apply_window | Apply a window to a sequence with shift, then get a new sequence of result. Pay atention the start position is not at 0, but at ishift. | Examples |
| fft_complex | Performs nFFT-point discrete Fourier transform or inverse Fourier transform. vSig will be padded with zeros if it has less than nFFT points and truncated if it has more. | Examples |
| fft_cosine | Performs nFFT-point discrete Fourier Cosine transform. vSig will be padded with zeros if it has less than nFFT points and truncated if it has more. | Examples |
| fft_factor | Set the sign of the Exponential Phase factor for the FFT operation. | Examples |
| fft_fft_2d_complex | computes the two-dimensional discrete Fourier transform or inverse Fourier transform of a bivariate sequence of complex data values. | Examples |
| fft_fft_2d_correlation | Perform 2d correlation on 2 matrices. | Examples |
| fft_fft_2d_real | Calculates the 2 dimensional discrete Fourier transforms or inverse 2 dimensional discrete Fourier transforms. | Examples |
| fft_fft_coherence | Calculate fft coherence | Examples |
| fft_fft_complex | calculates the discrete Fourier transform or inverse Fourier transform of a sequence of iSize complex data values. | Examples |
| fft_fft_convolution | calculates the circular convolution of two real vectors of period iSize. | Examples |
| fft_fft_correlation | calculates the circular correlation of two real vectors of period iSize. | Examples |
| fft_fft_cosine | computes the discrete Cosine transform of iSize real data values. | Examples |
| fft_fft_deconvolution | calculates the circular deconvolution of two real vectors of period iSize. | Examples |
| fft_fft_multiple_complex | computes the discrete Fourier transforms of iSequences sequences of iSize complex data values. | Examples |
| fft_fft_multiple_real | computes the discrete Fourier transforms of iSequences sequences of iSize real data values. For forward FT, each output sequence is in Hermitian form; For backward FT, each input sequence is in Hermitian form. | Examples |
| fft_fft_real | calculates the discrete Fourier transform or inverse Fourier transform of a sequence of iSize real data values. For forward FT, the output is in Hermitian form; For backward FT, the input sequence is in Hermitian form. | Examples |
| fft_fft_sine | computes the discrete Sine transform of iSize real data values. | Examples |
| fft_get_power_hermitian | Caculate the power of a serial of signal sequences which is stored in the input array(vSig). Each signal sequence has the same width. Actually they are the result of FFT transform of a window of source signal as Hermitian-Form. | Examples |
| fft_hermitian_to_complex | Convert from Hermitian form to general complex | Examples |
| fft_normalize_response | This function performs normalization of the response function | Examples |
| fft_norm_amp | Performs amplitude normalization. | Examples |
| fft_one_side_spectrum | Compute One Side Spectrum of FFT Result | Examples |
| fft_real | Performs nFFT-point discrete Fourier transform or inverse Fourier transform. | Examples |
| fft_sampling_resolution | Check the sampling resolution of the frequencies and return the interval of the sequence. | Examples |
| fft_shift | This function determines how the transformed data will be presented. | Examples |
| fft_sine | Performs nFFT-point discrete Fourier Sine transform. vSig will be padded with zeros if it has less than nFFT points and truncated if it has more | Examples |
| fft_stft | Get a amplitude sequence from a signal sequence using Short-Time-Fourier-Transform method. | Examples |
| fft_stft_complex | Get a amplitude sequence from a signal sequence using Short-Time-Fourier-Transform method. | Examples |
| fft_unwrap_phase | Calculate the change in phi and add it to the previous phase. | Examples |
| fft_wrap_response | This function performs wrapping of the response function | Examples |
| fftw_fft_unwrap_phase | unwrap phase | Examples |
| fftw_fft_2d_complex | Computes the two-dimensional discrete Fourier transform or inverse Fourier transform of a bivariate sequence of complex data values | Examples |
| fftw_fft_complex | Calculates the discrete Fourier transform or inverse Fourier transform of a sequence of iSize complex data values | Examples |
| fftw_fft_multiple_complex | Computes the discrete Fourier transforms of iSequences sequences of iSize complex data values | Examples |
| get_window_data | Generate window signal. | Examples |
| stft_complex | Performs Short-Time-Fourier-Transform on a 1d signal(complex data). | Examples |
| stft_real | Performs Short-Time-Fourier-Transform on a 1d signal(real data). It computes the windowed discrete-time Fourier transform of a signal using a sliding window. It return the power spectrum from the signal sequence and time and frequence scales as well. | Examples |
| undo_fft_shift | This function undoes the results of fft_shift. | Examples |