In this paper, we propose two scalable architectures (say, Arc and Arc 2 ) that perform the discrete wavelet transform (DWT) of an 0 -sample sequence in only 0 2 clock cycles. Therefore, they are at least twice as fast as the other known architectures. Also, they have an AT 2 parameter that is approximately 1/2 that of already existing devices. This result has been achieved by means of a carefully balanced pipelining, and it has two "faces." First, Arc and Arc 2 can be employed for performing two times faster processing than allowed by other architectures working at the same clock frequency (highspeed utilization). Second, they can be employed even using a two times lower clock frequency but reaching the same performance as other architectures. This second possibility allows for reducing the supply voltage and the power dissipation, respectively, by a factor of two and four with respect to other architectures (low-power utilization).As a final result, we show that a parallel architecture implementing an -tap filter-based DWT with decomposition levels [say, Arc OPT ( )] can be defined, aiming at having an excellent efficiency (say, eff[Arc OPT ( )]) for any value of and . For instance, the average value of eff[Arc OPT ( )] [computed in very wide set 6 of "points" ( )] is 99.1%. The minimum value of eff[Arc OPT ( )] in 6 is 93.8%, and, except for five "points," in all the others, eff[Arc OPT ( )] is not lower than 96.9%.

In this paper, we describe a processor architecture tailored to mixed-radix4/2/3 FFT algorithm. The proposed design supports all FFT sizes, namely 128-2048/1536, required by the LTE applications. The processor is based on the Transport Triggered Architecture processor architecture, which was customized with a set of function units, designed especially for the application at hand. The processor has been synthesized on an ASIC technology and both energy-efficiency and performance have been evaluated. The developed processor is programmable but shows energy-efficiency comparable to fixed-function ASIC implementations.

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