OPTIMIZATION OF LOW POWER USING FIR FILTER
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 6
Abstract
In this paper we proposed a three stage pipelined finite-impulse response (FIR) filter, this FIR filter contains multipliers such as Hybrid multiplier, Booth multiplier algorithm and Array multiplier. In general, multiplication process consists of two parts as multiplicand and multiplier. According to the array multiplier, the numbers of partial products (PP) are equal to the number of bits in multiplier. Booth multiplier is a multiplication algorithm that multiplies two signed binary numbers in two's complement notation. Booth's algorithm can be reduced by half using booth recoding. But in the hybrid multiplication technique, the partial products can still be reduced which in turn reduces the switching activity and power consumption. Multiplication is a very important operation in many digital signal processing (DSP) applications. In our proposed system, the performance of our hybrid multiplier is compared with an array multiplier and booth multiplier. The comparison is based on synthesis results obtained by synthesizing the multiplier architectures targeting a Xilinx FPGA.
Authors and Affiliations
S. Prem Kumar , S. Sivaprakasam , G. Damodharan , V. Ellappan
Keywords
Related Articles
- EP ID EP139857
- DOI -
- Views 105
- Downloads 0
Mobile Wireless Enhanced Routing Protocol in Adhoc Networks
Adhoc network consists of peer-to-peer communicating nodes that are highly mobile. As such, an ad-hoc network lacks nfrastructure and the topology of the network changes ynamically. The task of routing data from a source...
Performance Evaluation and Optimization of TCP Parameters over Frame Relay Network
The TCP window size value, which is contained in the window size field of the TCP segment is a very important TCP Parameter. The window size value determines the number of bytes of data that can be sent before an acknowl...
Day-ahead prediction using time series partitioning with Auto-Regressive model
Wind speed forecasting has received a lot of attention in the recent past from researchers due to its enormous benefits in the generation of wind power and distribution. The biggest challenge still remains to be accurate...
Comparison a Performance of Data Mining Algorithms (CPDMA) in Prediction Of Diabetes Disease
Detection of knowledge patterns in clinicial data through data mining. Data mining algorithms can be trained from past examples in clinical data and model the frequent times non-linear relationships between the independe...
Effective Implementation of Agile Practices – Incoordination with Lean Kanban
Increased productivity, return on investment and decreased defect rate are the major concerns in now-a days. Agile software development methodologies are in their way into the software mainstream. Agility created revolut...