Review of Rounding Based Approximate Multiplier (ROBA) For Digital Signal Processing
نویسندگان
چکیده
منابع مشابه
Implementation of Vedic Multiplier for Digital Signal Processing
Digital signal processors (DSPs) are very important in various engineering disciplines. Fast multiplication is very important in DSPs for convolution, Fourier transforms, etc. A fast method for multiplication based on ancient Indian Vedic mathematics is proposed in this paper. The whole of Vedic mathematics is based on 16 sutras (word formulae) and manifests a unified structure of mathematics. ...
متن کاملOptimization of Power and Area in Digital Signal Processing using Approximate Multiplier
To reduce power utilization and area are some of the most important criteria for the fabrication of Digital Signal Processing and high performance systems. Optimizing the speed and area of the multiplier is a major design issue. In most of the multiplication, the multiplier is an energyhungry component. To improve energy efficiency of multipliers, the choice of multiplier is very important. Her...
متن کاملArea Efficient Vedic Multiplier for Digital Signal Processing Applications
This paper proposes a method for area efficient fractional fixed point(Q-format) multiplier based on Urdhava Tiryakbhyam of vedic mathematics. Even though conventional or normal Urdhava multipliers carries high speed mathematical operations, they consume more chip area. Hence we proposed a pipelined multiplier architecture in this paper which consumes less chip area. The pipelined multiplier ar...
متن کاملInterval Arithmetic Multiplier for Digital Signal Processors
Interval methods offer quite new research aspects regarding Digital Signal Processing. In scenarios like finite numeric representation, limited precision sensors or the quantization process, signal processing has been practicing interval mathematics as quite a reliable gizmo for expressing the uncertainties. Some types of control systems like estimating or soft computing systems, the uncertaint...
متن کاملAnawake: Signal-Based Power Management For Digital Signal Processing Systems
Single-chip, low-power, programmable digital signal processing systems are capable of hosting complete speech processing applications, while consuming a few milliwatts of average power. We present a power management architecture that decreases the average power consumption of these systems to 3–10 microwatts, in applications where speech signals are present with a sufficiently low duty cycle. I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Recent and Innovation Trends in Computing and Communication
سال: 2019
ISSN: 2321-8169
DOI: 10.17762/ijritcc.v7i4.5277