Paper Info
Title
Quantization analysis tool for fixed-point implementation of real time algorithms on the TMS320C5000.
Abstract
Digital Signal Processing (DSP) chips are getting faster, with higher available performance and lower power consumption. Simultaneously, the complexity of algorithms that are being implemented on these devices is increasing rapidly. Currently, Texas Instruments (TI) has targeted the TMS320C5000, fixed point (16 bits), family of DSPs to be the most power efficient DSP engine. Implementing complex algorithms on a fixed-point platform is not a trivial task. Fixed-point programs require variables to have a quantization format, and prevent (minimize) overflow and underflow quantization errors The process of converting a successful floating-point implementation of an algorithm to fixed-point can be a long and tedious process. This paper presents software tool (Fast Quantization Tool (FaQT)), which simplifies the process of converting an algorithm from floating-point to fixed-point. The paper also presents the application of FaQT to a Noise Reduction (NR) algorithm used in speech processing for cell-phone and other audio applications.
Year
DOI
Venue
2002
10.1109/ICASSP.2002.5745480
ICASSP
Keywords
Field
DocType
noise,speech processing,power efficiency,noise reduction,algorithm design and analysis,fixed point,digital signal processing,real time,correlation,floating point,quantization error,chip
Noise reduction,Speech processing,Arithmetic underflow,Digital signal processing,Algorithm design,Computer science,Algorithm,Fixed point,Quantization (signal processing),Power consumption
Conference
Volume
ISSN
ISBN
4
1520-6149
0-7803-7402-9
Citations 
PageRank 
References 
4
0.87
0
Authors
3
Name
Order
Citations
PageRank
Sanmati Kamath1101.81
Neeraj Magotra2144.19
Ashish Shrivastava317213.32