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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 222
LOW COMPLEXITY DIGIT SERIAL FIR FILTER BY MULTIPLE
CONSTANT MULTIPLICATION ALGORITHMS
A. Hema Malini1
, C.Srimathi2
1
Assistant Professor, Electronics and Communication Engineering, Saveetha Engineering College, Tamil Nadu, India
2
PG Scholar, Electronics and Communication Engineering, Saveetha Engineering College, Tamil Nadu, India
Abstract
Serial input data is multiplied with constant pair to produce constant multiplication called Multiple Constant Multiplications (MCM).
In order to reduce number of shifting, an addition/subtraction operation, Graph Based (GB) algorithm is taken as a proposed
algorithm to construct multiplier for transposed form of digit serial FIR (Finite Impulse Response) filter design 4-tap digit serial FIR
filter with digit size d=2,4,8. To analyze low complexity Digit based recoding algorithm and CSE (Common Subexpression
Elimination) algorithm simulation compared with GB algorithm based on the performance of area utilization and delay report in
Xilinx ise design suite12.1software. Finally this FIR filter is implemented in FPGA spartan3 hardware for real time implementation.
Keywords: Multiple Constant Multiplication, Digit size, Low complexity, GB algorithm
--------------------------------------------------------------------***----------------------------------------------------------------------
1. INTRODUCTION
MCM is involved to produce constant multiplication in Digital
Signal Processing (DSP) systems, MIMO (Multiple Input
Multiple Output) systems, Error correcting codes, Frequency
multiplication, Graphics and Control applications.
In such applications full fledge of multipliers are not needed.
Since coefficients are constant to produce constant
multiplication. Once the MCM architecture is constructed, it
can be called as many times it required.
Constant multiplication either can be done by digit parallel
design or digit serial design. Digit parallel design of constant
multiplier needs external wire for shifting. It requires more area
while implementation takes place in FPGA or any other ASIC.
Hence digit serial design overcomes area constrain with
acceptable delay timing.
Multiplication with constant is called constant multiplication.
This process is used in filter operation. There are two types of
constant multiplication.
One is Single Constant Multiplication (SCM) and other is
Multiple Constant Multiplication. Input is multiplied with
single specific coefficient to produce output is called SCM.
Canonical Signed Digit (CSD) number representation is used to
implement SCM multipliers.
Input is multiplied with multiple numbers of specific
coefficients to produce multiple outputs is called MCM.
Multiplication is a process of shifting and addition operation.
Constant multiplier consists of number of adder, subtractor and
shifter according to the coefficient pair.
FIR filter output can be obtained by multiplication of input and
impulse response. Direct and transposed form implementations
are two forms of FIR filter implementations. Rather than direct
form, transposed form is most effective and realizable
structure. Multiplication operation takes place in multiplier
block. These transposed form multiplier blocks in FIR filter
will replace by MCM architecture also known as shift and add
architecture.
FIR filter gives guaranteed feed forward, stable and linear
phase response. For FIR filter impulse response is equal to the
number of coefficients. But it is not the case in Infinite Impulse
Response (IIR) filters. Hence this FIR filter implementation is
sometimes called as multiplierless digit based recoding
method.
1.1 Objective
Main objective is to eliminate multiplier block and introducing
MCM architecture in digit serial FIR filter for the reduction of
multiplication in the form of shift and add operations.
Fig 1 MCM operation
In Fig.1 X denotes input, α1 and α2 are filter coefficients, Y1
and Y2 are the outputs.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 223
An operation with the same input is to be multiplied by a set of
coefficients is said to be MCM. Serial input data is multiplied
with two pair of coefficients and produces Y1, Y2 outputs.
Fig 2 Digit Serial operation
Bit serial and Digit serial are the two cases for serial addition.
Compared to bit serial operation, Fig.2 explains that Digit
Serial operation needs less number of delay elements such as
flip flop for addition or subtraction.
Fig 3 flow map for proposed system design
Fig.3 gives the flow map for proposed system design.
2. PROPOSED WORK
To design MCM architecture without partial product sharing
algorithm (Digit based recoding), Common Sub-expression
Elimination (CSE) algorithm [5]-[6] is used in existing
methods. In proposed method, Graph Based (GB) [10]-[11]
algorithm is used for this purpose.
Four constants are taken as taken as coefficient pair. According
to MCM principle constant multiplication is performed by
number of shifting and addition operation. For this purpose
compare with other algorithms, GB algorithm is used to find
number of shifting and addition operation.
Consider the first coefficient pair as 29x and 43x.For this pair,
without partial product sharing algorithm requires six addition
and six shifting operations and CSE algorithm requires four
additions and four shifting operations. But GB algorithm
requires only one subtractor, two adders and three shifting
operation.
Fig 4 GB algorithm for 29,43,59,89 coefficients
Consider the second coefficient pair as59x and 89x.For this
pair, without partial product sharing algorithm requires four
addition, one subtraction and five shifting operations and CSE
algorithm requires four subtractions and four shifting
operations. But GB algorithm requires only two subtraction,
one addition and three shifting operation.
2.1 FIR Filter [4 TAP] with MCM
Fig 5 Four tap FIR filter with MCM architecture
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 224
Steps of GB algorithm can be applied for any coefficient pair
combinations. Hence GB algorithm is used and number of
operation is reduced drastically than other algorithms.
Fig 6 Output for FIR filter with digit based recoding algorithm
Four filter coefficient 29,43,59,89 values are taken for digit
serial FIR filter design. X(n) is taken as a input sequence and
Y(n) is taken as output sequence.
Fig 7 Output for FIR filter with CSE algorithm
Fig.6 shows 4 tap FIR filter with without partial product
sharing (Digit based recoding) algorithm and Fig.7 displays 4
tap filter with CSE algorithm.
Fig 8 Output for FIR filter with GB algorithm
Fig.8 displays 4 tap filter with GB algorithm. This simulation
result was displayed by modelsim software. These are the
simulation results displayed by modelsim software.
Fig 9 RTL schematic view of FIR filter
After completion of simulation process in Modelsim tool,
synthesis process is takes place to calculate gate count and
delay report. Fig.9 shows the RTL schematic view of FIR filter
with MCM architecture.
3. FIR FILTER DEVICE UTILIZATION REPORT
Fig 10 Device utilization report
FIR filter with digit size d=2, 4, 8 was synthesized separately
for device utilization in terms of gate count with each different
algorithms. Fig 10 shows the device utilization report of FIR
filter with GB algorithm. Table-1 explains that the FIR filter
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 225
with GB algorithm utilized less number of gate count than
other two algorithms.
Table -1: Gate Count Comparison
FIR filter
digit size
WPS CSE GB
d=2 790 635 578
d=4 1157 1132 707
d=8 2048 1994 1902
4. FIR FILTER DELAY SYNTHESIS REPORT
Fig 11 Delay synthesis report
FIR filter with digit size d=2, 4, 8 was synthesized separately
for delay comparison. Fig.9 shows the delay synthesis report of
FIR filter with GB algorithm. Table-2 explains that the FIR
filter with GB algorithm has less delay time than other two
algorithms.
Table-2: Delay comparison
FIR filter
digit size
WPS CSE GB
d=2 18.884ns 11.91ns 11.885ns
d=4 16.078ns 15.384ns 17.165ns
d=8 28.759ns 19.988ns 19.476ns
5. CONCLUSIONS
Thus the implementation of digit serial FIR filter was
implemented with low complexity MCM architectures for digit
sizes d=2, 4, 8. Device utilization and delay values are
compared for hardware implementation. Hence this MCM
approach drastically reduces the system complexity, area and
delay and FPGA hardware real time implementation has
performed with spartan3 version. Future enhancement of this
paper is to design MCM architecture with more coefficient
pairs for FIR filter implementation.
REFERENCES
[1] Kenny Johansson, Oscar Gustafsson, Andrew G. D.,
and Lars Wanhammar, “Algorithm to reduce the
number of shifts and additions in multiplier blocks
using serial arithmetic” IEEE MELECON, pp. 197-
200, 2004.
[2] Levent Aksoy, Cristiano Lazzari, Eduardo Costa,Paulo
Flores, José Monteiro., “Efficient shift-adds design of
digit-serial multiple constant multiplications”
GLSVLSI’11,2011.
[3] Levent Aksoy, Cristiano Lazzari Eduardo Costa,Paulo
Flores, José Monteiro, “Design of digit-serial FIR
filters: algorithms, architectures, and a CAD tool”
IEEE Trans. on Very Large Scale Integration (VLSI)
Systems, Vol. 21, No. 3, pp 498-511, 2013.
[4] Levent Aksoy, Eduardo.D.Costa, Paulo Flores, José
Monteiro., “Exact and approximate algorithms for the
optimization of area and delay in multiple constant
multiplications” IEEE Transactions on Computer-
Aided Design of Integrated Circuits And Systems, Vol.
27, No. 6, pp. 1013-1026, 2008.
[5] Miodrag potkonjak, Mani.B.S., Anantha.P.C.,“Multiple
constant multiplications efficient and versatile
framework and algorithms for exploring common
subexpression elimination” IEEE Trans. Computer
Aided-Design of Integrated Circuits and Systems,
VOL.15,NO.2, pp 151-165, 1996.
[6] Yuen H.A.H., Chi U.L., Hing-K.K.,Ngai Wong,
“Global optimization of common subexpressions for
multiplierless synthesis of multiple constant
multiplications” IEEE Explore,pp.119-124, 2008.
[7] R. Hartley, “Subexpression sharing in filters using
canonic signed digit multipliers,” IEEE Trans. Circuits
Syst. II, Exp. Briefs, vol. 43, no. 10,pp. 677–688, Oct.
1996.
[8] I.-C. Park and H.-J. Kang, “Digital filter synthesis
based on minimal signed digit representation,” in Proc.
DAC, pp. 468–473, 2001.
[9] A. Dempster, M. Macleod, “Use of minimum-adder
multiplier blocks in FIR digital filters,” IEEE Trans.
Circuits Syst. II, Exp. Briefs, vol. 42, no. 9, pp. 569–
577, Sep. 1995.
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
__________________________________________________________________________________________
Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 226
[10] Y. Voronenko, M. Püschel, “Multiplierless multiple
constant multiplication,” ACM Trans. Algor., vol. 3,
no. 2, pp. 1–39, May, 2007.
[11] L. Aksoy, E. Gunes, and P. Flores, “Search algorithms
for the multiple constant multiplications problem:
Exact and approximate,” J. Microprocess. Microsyst.,
vol. 34, no. 5, pp. 151–162, Aug. 2010.
BIOGRAPHIES
A. Hema Malini received the B.Tech degree
in Electronics and Communication
Engineering and M.Tech degree in Wireless
Communication. Currently, She is working as
Assistant Professor in the Department of
Electronics and Communication Engineering,
Saveetha Engineering College, Chennai. Specialized in
Wireless Communication. Having 6 years of teaching
experience. Area of interest includes Mobile Communication
and Adhoc Networks.
C. Srimathi received the B.E. degree in
Electronics and Communication Engineering
in the year 2012 and pursuing M.E.degree in
VLSI Design from Saveetha Engineering
College. Her area of interests includes VLSI
Signal Processing and VLSI Design.

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Low complexity digit serial fir filter by multiple constant multiplication algorithms

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 222 LOW COMPLEXITY DIGIT SERIAL FIR FILTER BY MULTIPLE CONSTANT MULTIPLICATION ALGORITHMS A. Hema Malini1 , C.Srimathi2 1 Assistant Professor, Electronics and Communication Engineering, Saveetha Engineering College, Tamil Nadu, India 2 PG Scholar, Electronics and Communication Engineering, Saveetha Engineering College, Tamil Nadu, India Abstract Serial input data is multiplied with constant pair to produce constant multiplication called Multiple Constant Multiplications (MCM). In order to reduce number of shifting, an addition/subtraction operation, Graph Based (GB) algorithm is taken as a proposed algorithm to construct multiplier for transposed form of digit serial FIR (Finite Impulse Response) filter design 4-tap digit serial FIR filter with digit size d=2,4,8. To analyze low complexity Digit based recoding algorithm and CSE (Common Subexpression Elimination) algorithm simulation compared with GB algorithm based on the performance of area utilization and delay report in Xilinx ise design suite12.1software. Finally this FIR filter is implemented in FPGA spartan3 hardware for real time implementation. Keywords: Multiple Constant Multiplication, Digit size, Low complexity, GB algorithm --------------------------------------------------------------------***---------------------------------------------------------------------- 1. INTRODUCTION MCM is involved to produce constant multiplication in Digital Signal Processing (DSP) systems, MIMO (Multiple Input Multiple Output) systems, Error correcting codes, Frequency multiplication, Graphics and Control applications. In such applications full fledge of multipliers are not needed. Since coefficients are constant to produce constant multiplication. Once the MCM architecture is constructed, it can be called as many times it required. Constant multiplication either can be done by digit parallel design or digit serial design. Digit parallel design of constant multiplier needs external wire for shifting. It requires more area while implementation takes place in FPGA or any other ASIC. Hence digit serial design overcomes area constrain with acceptable delay timing. Multiplication with constant is called constant multiplication. This process is used in filter operation. There are two types of constant multiplication. One is Single Constant Multiplication (SCM) and other is Multiple Constant Multiplication. Input is multiplied with single specific coefficient to produce output is called SCM. Canonical Signed Digit (CSD) number representation is used to implement SCM multipliers. Input is multiplied with multiple numbers of specific coefficients to produce multiple outputs is called MCM. Multiplication is a process of shifting and addition operation. Constant multiplier consists of number of adder, subtractor and shifter according to the coefficient pair. FIR filter output can be obtained by multiplication of input and impulse response. Direct and transposed form implementations are two forms of FIR filter implementations. Rather than direct form, transposed form is most effective and realizable structure. Multiplication operation takes place in multiplier block. These transposed form multiplier blocks in FIR filter will replace by MCM architecture also known as shift and add architecture. FIR filter gives guaranteed feed forward, stable and linear phase response. For FIR filter impulse response is equal to the number of coefficients. But it is not the case in Infinite Impulse Response (IIR) filters. Hence this FIR filter implementation is sometimes called as multiplierless digit based recoding method. 1.1 Objective Main objective is to eliminate multiplier block and introducing MCM architecture in digit serial FIR filter for the reduction of multiplication in the form of shift and add operations. Fig 1 MCM operation In Fig.1 X denotes input, α1 and α2 are filter coefficients, Y1 and Y2 are the outputs.
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 223 An operation with the same input is to be multiplied by a set of coefficients is said to be MCM. Serial input data is multiplied with two pair of coefficients and produces Y1, Y2 outputs. Fig 2 Digit Serial operation Bit serial and Digit serial are the two cases for serial addition. Compared to bit serial operation, Fig.2 explains that Digit Serial operation needs less number of delay elements such as flip flop for addition or subtraction. Fig 3 flow map for proposed system design Fig.3 gives the flow map for proposed system design. 2. PROPOSED WORK To design MCM architecture without partial product sharing algorithm (Digit based recoding), Common Sub-expression Elimination (CSE) algorithm [5]-[6] is used in existing methods. In proposed method, Graph Based (GB) [10]-[11] algorithm is used for this purpose. Four constants are taken as taken as coefficient pair. According to MCM principle constant multiplication is performed by number of shifting and addition operation. For this purpose compare with other algorithms, GB algorithm is used to find number of shifting and addition operation. Consider the first coefficient pair as 29x and 43x.For this pair, without partial product sharing algorithm requires six addition and six shifting operations and CSE algorithm requires four additions and four shifting operations. But GB algorithm requires only one subtractor, two adders and three shifting operation. Fig 4 GB algorithm for 29,43,59,89 coefficients Consider the second coefficient pair as59x and 89x.For this pair, without partial product sharing algorithm requires four addition, one subtraction and five shifting operations and CSE algorithm requires four subtractions and four shifting operations. But GB algorithm requires only two subtraction, one addition and three shifting operation. 2.1 FIR Filter [4 TAP] with MCM Fig 5 Four tap FIR filter with MCM architecture
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 224 Steps of GB algorithm can be applied for any coefficient pair combinations. Hence GB algorithm is used and number of operation is reduced drastically than other algorithms. Fig 6 Output for FIR filter with digit based recoding algorithm Four filter coefficient 29,43,59,89 values are taken for digit serial FIR filter design. X(n) is taken as a input sequence and Y(n) is taken as output sequence. Fig 7 Output for FIR filter with CSE algorithm Fig.6 shows 4 tap FIR filter with without partial product sharing (Digit based recoding) algorithm and Fig.7 displays 4 tap filter with CSE algorithm. Fig 8 Output for FIR filter with GB algorithm Fig.8 displays 4 tap filter with GB algorithm. This simulation result was displayed by modelsim software. These are the simulation results displayed by modelsim software. Fig 9 RTL schematic view of FIR filter After completion of simulation process in Modelsim tool, synthesis process is takes place to calculate gate count and delay report. Fig.9 shows the RTL schematic view of FIR filter with MCM architecture. 3. FIR FILTER DEVICE UTILIZATION REPORT Fig 10 Device utilization report FIR filter with digit size d=2, 4, 8 was synthesized separately for device utilization in terms of gate count with each different algorithms. Fig 10 shows the device utilization report of FIR filter with GB algorithm. Table-1 explains that the FIR filter
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 225 with GB algorithm utilized less number of gate count than other two algorithms. Table -1: Gate Count Comparison FIR filter digit size WPS CSE GB d=2 790 635 578 d=4 1157 1132 707 d=8 2048 1994 1902 4. FIR FILTER DELAY SYNTHESIS REPORT Fig 11 Delay synthesis report FIR filter with digit size d=2, 4, 8 was synthesized separately for delay comparison. Fig.9 shows the delay synthesis report of FIR filter with GB algorithm. Table-2 explains that the FIR filter with GB algorithm has less delay time than other two algorithms. Table-2: Delay comparison FIR filter digit size WPS CSE GB d=2 18.884ns 11.91ns 11.885ns d=4 16.078ns 15.384ns 17.165ns d=8 28.759ns 19.988ns 19.476ns 5. CONCLUSIONS Thus the implementation of digit serial FIR filter was implemented with low complexity MCM architectures for digit sizes d=2, 4, 8. Device utilization and delay values are compared for hardware implementation. Hence this MCM approach drastically reduces the system complexity, area and delay and FPGA hardware real time implementation has performed with spartan3 version. Future enhancement of this paper is to design MCM architecture with more coefficient pairs for FIR filter implementation. REFERENCES [1] Kenny Johansson, Oscar Gustafsson, Andrew G. D., and Lars Wanhammar, “Algorithm to reduce the number of shifts and additions in multiplier blocks using serial arithmetic” IEEE MELECON, pp. 197- 200, 2004. [2] Levent Aksoy, Cristiano Lazzari, Eduardo Costa,Paulo Flores, José Monteiro., “Efficient shift-adds design of digit-serial multiple constant multiplications” GLSVLSI’11,2011. [3] Levent Aksoy, Cristiano Lazzari Eduardo Costa,Paulo Flores, José Monteiro, “Design of digit-serial FIR filters: algorithms, architectures, and a CAD tool” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, Vol. 21, No. 3, pp 498-511, 2013. [4] Levent Aksoy, Eduardo.D.Costa, Paulo Flores, José Monteiro., “Exact and approximate algorithms for the optimization of area and delay in multiple constant multiplications” IEEE Transactions on Computer- Aided Design of Integrated Circuits And Systems, Vol. 27, No. 6, pp. 1013-1026, 2008. [5] Miodrag potkonjak, Mani.B.S., Anantha.P.C.,“Multiple constant multiplications efficient and versatile framework and algorithms for exploring common subexpression elimination” IEEE Trans. Computer Aided-Design of Integrated Circuits and Systems, VOL.15,NO.2, pp 151-165, 1996. [6] Yuen H.A.H., Chi U.L., Hing-K.K.,Ngai Wong, “Global optimization of common subexpressions for multiplierless synthesis of multiple constant multiplications” IEEE Explore,pp.119-124, 2008. [7] R. Hartley, “Subexpression sharing in filters using canonic signed digit multipliers,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 43, no. 10,pp. 677–688, Oct. 1996. [8] I.-C. Park and H.-J. Kang, “Digital filter synthesis based on minimal signed digit representation,” in Proc. DAC, pp. 468–473, 2001. [9] A. Dempster, M. Macleod, “Use of minimum-adder multiplier blocks in FIR digital filters,” IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 42, no. 9, pp. 569– 577, Sep. 1995.
  • 5. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 __________________________________________________________________________________________ Volume: 03 Issue: 04 | Apr-2014, Available @ http://www.ijret.org 226 [10] Y. Voronenko, M. Püschel, “Multiplierless multiple constant multiplication,” ACM Trans. Algor., vol. 3, no. 2, pp. 1–39, May, 2007. [11] L. Aksoy, E. Gunes, and P. Flores, “Search algorithms for the multiple constant multiplications problem: Exact and approximate,” J. Microprocess. Microsyst., vol. 34, no. 5, pp. 151–162, Aug. 2010. BIOGRAPHIES A. Hema Malini received the B.Tech degree in Electronics and Communication Engineering and M.Tech degree in Wireless Communication. Currently, She is working as Assistant Professor in the Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai. Specialized in Wireless Communication. Having 6 years of teaching experience. Area of interest includes Mobile Communication and Adhoc Networks. C. Srimathi received the B.E. degree in Electronics and Communication Engineering in the year 2012 and pursuing M.E.degree in VLSI Design from Saveetha Engineering College. Her area of interests includes VLSI Signal Processing and VLSI Design.