Algorithm-based low-power transform coding architectures

In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes down. In this paper, we propose new algorithmic-level techniques for compensating the increased delays based on the multirate approach. We will show how to compute most of the discrete sinusoidal transforms through the decimated low-speed sequences with reasonable linear hardware overhead. For the case the decimation factor equal to two, the overall power consumption can be reduced to about onethird of the original design. The resulting multirate lowpower architectures are regular, modular, and free of global communications. Such properties are very suitable for VLSI implementations. The proposed architectures can also be applied to very high-speed block transforms where only lowspeed operators are required.