Author(s): |
| Aditi , DIT University, Dehradun; Abhinav Chauhan, DIT University, Dehradun; D. N. Rao, DIT University, Dehradun; Sandeep Sharma, DIT University, Dehradun |
Keywords: |
| Digital Signal Processing, Filters, Multirate, Decimation, Interpolation And Matlab Simulink |
Abstract |
The need to process data at more than one sampling rate is
increasing in modern digital systems. Through this paper we are
presenting the various techniques of altering the sampling rate in a
multi rate system and we have also discussed the filter requirements for
efficient output of the decimator for the professional recording
production equipment application having a sampling rate of 96 kHz. We
have also compared the total storage requirements (TSR) and
multiplications per second (MPS) requirements at each stage of decimator
using Matlab Simulink.PreviewFor Full Article Click Here.... |
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Showing posts with label ijsrd contact. Show all posts
Monday, 16 November 2015
A Nobel Design of An Efficient Decimator using Matlab Simulink
Tuesday, 22 September 2015
Ijsrd Call For Paper : Data Mining
Special Issue For Data Mining 
Dear Researchers/Authors,
IJSRD is promoting a new field of this Digital Generation-“Data Mining”. In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.
To submit your research paper on Data Mining Click here
IJSRD is promoting a new field of this Digital Generation-“Data Mining”. In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.
To submit your research paper on Data Mining Click here
What is Data Mining..?
Data mining (the analysis step of the "Knowledge Discovery in Databases" process. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:
(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.
The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:
(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.
For More information click here
Saturday, 21 March 2015
IJSRD JOURNAL : IJSRD.COM
IJSRD.COM : INTERNATIONAL JOURNAL FOR SCIENCE RESEARCH AND DEVELOPMENT.
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