Name | Description | ||

cmxifft | This star produces the inverse fft of the input signal. The points are output | cmxifft | as complex numbers. |

convolve | This star convolves the input samples with the impulse response (finite duration, FIR ) given in a file. | ||

cstime | Function outputs the "time" to all connected output buffers. | ||

cubepoly | mplements a cubic polynomial nonlinearity of the form: output = a*x + b*x^2 + c*x^3, where x = input | ||

cxaddnoise | This star adds white gaussian noise to the input complex data stream. | ||

cxadd | Function adds all its input complex samples to yield a complex output sample | ||

cxconj | Function has a single complex input buffer, and outputs the conjugate of each complex input sample to an arbitrary number of complex output buffers. | ||

cxcorr | This star correlates the input samples with the sequence given in a file. | ||

cxdelay | Function delays its complex input samples by any number of samples | ||

cxgain | This star multiplies the incoming complex data stream by the complex parameter coefficient, and outputs the resulting complex data values. | ||

cxmag | This star finds the magnitude of a complex data stream. | ||

cxmakecx | This star creates a complex buffer from one or two input buffers. | ||

cxmakereal | This star creates a two real buffers from one complex input buffer. | ||

cxmult | This star multiplies two complex data streams. | ||

cxnode | Function has a single complex input buffer, and outputs each complex input sample to an arbitrary number of complex output buffers. | ||

cxphase | This star finds the phase of a complex data stream. | ||

cxrdfile | This function performs the simple task of reading sample values in from a file, and then placing them on it's output buffer. | ||

cxreal | This star outputs the real part of the inputcomplex stream. | ||

cxreim | This star outputs the real part of the input complex stream. Buffer 0 contains the real part. | ||

cxsetsnr | This star adds white gaussian noise to the input data stream based on SNR. |