26-12-2010, 09:56 AM
DESIGN OF A HIGH-SPEED SPECTRAL SIGNAL PROCESSING SYSTEM FOR FTIR SPECTROMETER
Presented By:
Anoop E M
S7 ECE
College Of Engineering, Trivandrum
2007-11 batch
Design of a High-speed Spectral Signal Processing System with a Floating-point.pptx (Size: 1.29 MB / Downloads: 62)
OUTLINE
Introduction to FTIR spectroscopy
FTIR versus older technology
Challenges of high speed DSP design
Hardware architecture of SSPS
Software architecture of SSPS
Signal processing method
Software Implementation
Applications
Advantages
WHAT IS FTIR?
FTIR stands for Fourier Transform Infra Red
A method for obtaining IR spectra by first collecting an interferogram of a sample using an interferometer
Resulting spectrum represents molecular absorption and transmission
Molecular fingerprint
It can identify unknown materials
It can determine the quality or consistency of a sample
It can determine the amount of components in a mixture
SAMPLE ANALYSIS PROCESS
THE INTERFEROMETER
Beam splitter divides the
incoming IR beam into two
parts
Waves interfere either
constructively or destructively
depending on the position of
the moving mirror
Position of moving mirror is
expressed as Optical Path
Difference (OPD)
Mirror movement and interference of single wavelength beam
When moving mirror is in the
original position, the two paths
are identical and interference
is constructive
When the moving mirror moves
¼ of wavelength, the path
difference is ½ wavelength and
interference is destructive
The resulting signal is called an
interferogram
DESIGN SOLUTION OF UART STANDARD BY DSP
Stores blocks of code and data of SSPS
Despite of the internal memory of TMS320C6713, there are four kinds of memories:
Synchronous pipelined cache RAM
NOR FLASH memory
Synchronous dynamic RAM
Dual port RAM
Clock to four devices is provided by internal PLL of DSP
Original interferogram is stored in Dual port RAM, which is shared by both SSPS and spectrometer
All the data are stored in floating point mode
SIGNAL PROCESSING METHOD
SOFTWARE IMPLEMENTATION
ADVANTAGES OF FTIR
Fast and easy
Sensitive to “molecules”-anything that contains
chemical bonds
Internally calibrated
Positive identification
Quality control
Quantitative analysis
CONCLUSION
Both hardware and software architecture of the SSPS
module are designed
The use of high speed floating point DSP in the module
effectively accounts for the overall performance of FTIR
spectrometer
An effective signal processing method is designed for the
system
The module can also be used as a effective signal processing
platform for other real time systems which need high speed
signal processing
REFERENCES
[1] DONG Da-ming, FANG Yong-hua, XIONG Wei, LAN Tian-ge,”Design of a high speed
spectral Signal processing system with floating point DSP for FTIR spectroscopy”, The
Ninth International Conference on Electronic Measurement & Instruments (ICEMI),vol.1,
p.35-39, 2009
[2] Paduart Johan, Schoukens Johan, Rolain Yves ."Fast measurement of quantization
distortions in DSP algorithms", IEEE Transactions on Instrumentation and Measurement,
vol.5, p.1917-1923, October 2007
[3] Donatus ."DSP-based real-time implementation of a hybrid H infinity adaptive fuzzy
racking controller for servo-motor drives“, IEEE Transactions on Industry Applications,
vol 2, p.476-484, March/April 2007
Presented By:
Anoop E M
S7 ECE
College Of Engineering, Trivandrum
2007-11 batch
Design of a High-speed Spectral Signal Processing System with a Floating-point.pptx (Size: 1.29 MB / Downloads: 62)
OUTLINE
Introduction to FTIR spectroscopy
FTIR versus older technology
Challenges of high speed DSP design
Hardware architecture of SSPS
Software architecture of SSPS
Signal processing method
Software Implementation
Applications
Advantages
WHAT IS FTIR?
FTIR stands for Fourier Transform Infra Red
A method for obtaining IR spectra by first collecting an interferogram of a sample using an interferometer
Resulting spectrum represents molecular absorption and transmission
Molecular fingerprint
It can identify unknown materials
It can determine the quality or consistency of a sample
It can determine the amount of components in a mixture
SAMPLE ANALYSIS PROCESS
THE INTERFEROMETER
Beam splitter divides the
incoming IR beam into two
parts
Waves interfere either
constructively or destructively
depending on the position of
the moving mirror
Position of moving mirror is
expressed as Optical Path
Difference (OPD)
Mirror movement and interference of single wavelength beam
When moving mirror is in the
original position, the two paths
are identical and interference
is constructive
When the moving mirror moves
¼ of wavelength, the path
difference is ½ wavelength and
interference is destructive
The resulting signal is called an
interferogram
DESIGN SOLUTION OF UART STANDARD BY DSP
Stores blocks of code and data of SSPS
Despite of the internal memory of TMS320C6713, there are four kinds of memories:
Synchronous pipelined cache RAM
NOR FLASH memory
Synchronous dynamic RAM
Dual port RAM
Clock to four devices is provided by internal PLL of DSP
Original interferogram is stored in Dual port RAM, which is shared by both SSPS and spectrometer
All the data are stored in floating point mode
SIGNAL PROCESSING METHOD
SOFTWARE IMPLEMENTATION
ADVANTAGES OF FTIR
Fast and easy
Sensitive to “molecules”-anything that contains
chemical bonds
Internally calibrated
Positive identification
Quality control
Quantitative analysis
CONCLUSION
Both hardware and software architecture of the SSPS
module are designed
The use of high speed floating point DSP in the module
effectively accounts for the overall performance of FTIR
spectrometer
An effective signal processing method is designed for the
system
The module can also be used as a effective signal processing
platform for other real time systems which need high speed
signal processing
REFERENCES
[1] DONG Da-ming, FANG Yong-hua, XIONG Wei, LAN Tian-ge,”Design of a high speed
spectral Signal processing system with floating point DSP for FTIR spectroscopy”, The
Ninth International Conference on Electronic Measurement & Instruments (ICEMI),vol.1,
p.35-39, 2009
[2] Paduart Johan, Schoukens Johan, Rolain Yves ."Fast measurement of quantization
distortions in DSP algorithms", IEEE Transactions on Instrumentation and Measurement,
vol.5, p.1917-1923, October 2007
[3] Donatus ."DSP-based real-time implementation of a hybrid H infinity adaptive fuzzy
racking controller for servo-motor drives“, IEEE Transactions on Industry Applications,
vol 2, p.476-484, March/April 2007