There is a natural preference to use floating-point implementations in custom embedded applications because they offer a much higher dynamic range and as a byproduct bypass the design hassle of ...

The FFT1-32-512/4 core implements 32, 64, 128, 256, and 512 point FFT and IFFT in hardware that runs at the clock frequency four times higher than the ...

Although it has found many uses in signal processing, the Fast Fourier Transform (FFT) has taken on even more importance as a fundamental part of the algorithms used for communications protocols based ...

Engineers targeting DSP to FPGAs have traditionally used fixed-point arithmetic, mainly because of the high cost associated with implementing floating-point arithmetic. That cost comes in the form of ...