Recently, significant improvement has been achieved for hardware architecture design of
deep neural networks (DNNs). However, the hardware implementation of one widely used …

2. Direct Digital Synthesizer 2.1 Conventional Direct Digital Synthesizer ~f = fC/k . 2J Page 1
2. Direct Digital Synthesizer In this chapter the operation of the direct digital synthesizer is first …

The softmax function has been widely used in deep neural networks (DNNs), and studies on
efficient hardware accelerators for DNN have also attracted tremendous attention. However …

In the deep sub-micron regime, the power consumption has become one of the most
important issues for competitive design of digital circuits. Due to dramatically increasing …

The CORDIC algorithm is a well-known iterative method for the efficient computation of
vector rotations, and trigonometric and hyperbolic functions. Basically, CORDIC performs a …

Addresses a wide selection of multimedia applications, programmable and custom
architectures for the implementations of multimedia systems, and arithmetic architectures …

An approach to automating the design of memory-based VLSI architectures for FIR (finite
impulse response) filters has been developed. The automation is based on the exploration …

We present a unified mixed radix CORDIC algorithm with carry-save arithmetic with a
constant scale factor. The pipelined architecture of the processor is determined by a unique …

A very-large-scale integration architecture for Reed-Solomon (RS) decoding is presented
that is scalable with respect to the throughput rate. This architecture enables given system …

Although much research has been done on efficient high-speed filter architectures, much of
this work has focused on filters with fixed coefficients, such as Canonical Signed Digit …