Design and Comparison of Constant Transconductance Architectures
RAJATH ITHAL H. L.1, SHYLASHREE N.1, MAMATHA A. S.2, NIKHIL B. G.3
1Department of Electronics & Communication Engineering,
R. V. College of Engineering, Bangalore, Affiliated to Visvesvaraya Technological University,
Belagavi-590018, Karnataka,
INDIA
2Department of Electronics & Communication Engineering,
NITTE (Deemed to be University), NMAM Institute of Technology,
Nitte-574110, Karnataka,
INDIA
3Signal Chip, Bangalore,
Karnataka,
INDIA
Abstract: - Constant transconductance (Gm) biasing circuits, as the name suggests, generate a bias current that
ensures that the Gm of a MOS transistor remains constant. The Gm of a MOS transistor is a very important
parameter as various other parameters of a circuit such as the gain, UGB (Unity Gain Bandwidth, poles, and
zeros are strongly dependent upon it. Every analog circuit in a chip is subjected to varying PVT (Process,
Voltage, and Temperature) conditions. This leads to a varying Gm of the devices, and hence the parameters such
as the gain and UGB also tend to vary. Hence, constant Gm biasing is crucial in systems, where the parameters
are expected to be constant regardless of the external factors. The majority of constant Gm biasing circuits make
use of an external off-chip resistor. While this is a reasonable solution, it adds to the cost, area, and complexity
of the solution. Hence, it is vital to model and design all the required functionalities within the chip, eliminating
the requirement for any external components. In this paper, different architectures of constant Gm biasing
circuits are designed and simulated in Cadence Virtuoso software. The proposed architecture has an error of
6.42% in the variation of transconductance, which is a significant improvement concerning the other
architectures simulated. Additionally, the proposed architecture does not require any off-chip components while
the other architectures require an off-chip resistor. Hence, the proposed solution has reduced cost and
complexity.
Key-Words: - Constant Gm, off-chip resistor, Gain, UGB, Biasing, Common Mode Feedback.
Received: April 12, 2023. Revised: November 14, 2023. Accepted: December 15, 2023. Published: April 2, 2024.
1 Introduction
Constant transconductance biasing circuit, or CTB
circuit, is an important technique used in electronic
circuits to maintain a consistent transconductance
(Gm) for active devices like transistors. The
transconductance of a device represents its ability to
convert changes in input voltage into corresponding
changes in output current. By ensuring a constant
transconductance, CTB circuits help to achieve
stable and predictable performance of active devices
across various operating conditions, including
temperature fluctuations, process variations, and
power supply changes.
The necessity of constant transconductance
biasing arises due to several factors. Firstly,
temperature variations can significantly impact the
behavior of transistors. By implementing CTB
circuits, the impact of temperature changes can be
compensated, ensuring that the circuit operates
consistently over a wide temperature range.
Secondly, process variations in integrated circuit
manufacturing can lead to differences in transistor
parameters. CTB circuits help to mitigate these
process discrepancies thus enabling uniform
performance across different manufacturing batches.
Moreover, fluctuations in the power supply can
affect the behavior of transistors and consequently
the circuit’s overall performance. Constant
transconductance biasing reduces the dependency
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on the power supply voltage, resulting in improved
stability and power supply rejection.
The standard constant Gm bias architecture,
described in, [1], employs a supply-independent
configuration and a switched capacitor resistor. This
ensures that the resistor remains unchanged
regardless of process and temperature variations. A
modified version of the constant Gm bias
architecture is discussed in, [2], where the deviation
is limited to 0.5% even with a temperature range of
120°C and a device mismatch of ±4%. Beta-
multiplier circuits described in, [3] and [4], generate
a Gm that tracks an off-chip conductance (Goff chip =
1/Roff chip) to maintain consistency with temperature
changes and on-chip process variations. However,
using an off-chip component increases the cost and
the beta-multiplier topology relies on the
assumption of square law behavior of MOS devices,
which does not apply to modern sub-micron
processes, [5].
An alternative approach for achieving a constant
Gm without an off-chip resistor is presented in, [6]
and, [7]. This temperature-compensated method
generates current references that are proportional
and constant, compensating for temperature-induced
variations in the electron mobility of a MOSFET.
Here the assumption of a square law model for the
MOSFET’s Gm is made. Another technique
described in, [8] utilizes a small signal method to
generate a fixed transconductance. By applying a
small voltage (I × Roff chip) to a differential pair and
adjusting the bias current through negative
feedback, the incremental differential drain current
is set to I. This method also requires an off-chip
resistor.
In, [9], the simulation of the standard constant
Gm technique has been demonstrated, revealing the
need for high current and reliance on the square law
model of transistors. The technique used in, [9], is
modified in, [10], in which the current consumption
is reduced by sacrificing the circuit speed.
Nevertheless, both the architectures are still bound
by the square law model assumption. The theoretical
understanding and limitations of the conventional
constant Gm circuit are emphasized in, [11], where
the effect of Channel Length Modulation (CLM) is
identified as a crucial factor in maintaining a
constant Gm.
In, [12], a unique method is introduced, which
achieves constant transconductance by subtracting
the output currents of two independent
transconductance references. This approach
minimizes second-order effects by taking the current
difference, resulting in a PVT (Process-Voltage-
Temperature) invariant transconductance. [13] and
[14], presents a novel 9 nW PVT invariant
subthreshold transconductance bias circuit that
extracts a transistor’s specific current and subjects it
to a squaring circuit to provide an invariable
transconductance bias over temperature in the
subthreshold region.
Furthermore, [15], proposes a new PVT
independent constant Gm bias technique applicable
to any Iout monotonic convex transconductors. This,
[16], method transforms the traditional approach of
maintaining a constant transconductance bias into an
analog computation procedure. It involves using an
input current to calculate the desired constant
transconductance bias voltage, denoted as V0. The
process is carried out by an analog computer that
assesses the effective transconductance obtained
from two identical transconductors and then
modifies V0 to align it with the inverse of precise
resistance.
2 Design of Constant Gm Biasing
Circuit Architectures
In this paper, four architectures are designed, and
simulated and a comparative analysis of these
architectures is performed. The architectures
designed are: Standard beta multiplier circuit, beta
multiplier circuit with cascade stage, beta multiplier
circuit with Common Mode Feedback (CMFB), and
the modified constant Gm circuit, which is also the
proposed architecture.
2.1 Standard Beta Multiplier Circuit
The standard beta multiplier circuit, also known as
the supply-independent biasing circuit, comprises of
four transistors and an external resistor.
Figure 1 represents the standard beta multiplier
circuit.
Fig. 1: Standard Beta Multiplier Circuit, [1]
where IREF is the reference current that is to be
mirrored, IOUT is the output current or the mirrored
current, and RS is the external resistor that is added
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as a constraint to uniquely define the currents. The
external resistor RS decreases the current of mosfet
M2 in 1 while the PMOS devices, M3 and M4 require
that IREF and IOUT are the same as they have identical
threshold voltages and dimensions.
  (1)

󰇡
󰇢
󰇡
󰇢(2)
Equation 1 and Equation 2 are derived from the
standard MOS transistor equations in the saturation
region. Further, by neglecting the body effect,
equation 2 becomes (3):

󰇡
󰇢󰇡
󰇢 󰇛󰇜

󰇡
󰇢󰇧
󰇨
󰇛󰇜
Equation 4 shows that the current is independent
of the supply voltage. Hence the name, supply
independent biasing circuit. In the derivation, VTH1
is assumed to be equal to VTH2 which introduces
some amount of error due to body effect as the
source voltages of M1 and M2 are different. Also
CLM is neglected, which will introduce a significant
amount of error in lower technology nodes.
The transconductance of a MOSFET is related
to the current as follows (5):

󰇛󰇜
Hence, the transconductance of M1 is obtained as
follows (6): 

󰇛󰇜
2.2 Beta Multiplier Circuit with Cascade
Stage
Cascading is a commonly used configuration in
amplifier design that offers several advantages over
other amplifier topologies. It consists of two
transistors connected in a series configuration: a
common source transistor on the bottom and a
common gate transistor on the top. The output of the
common source stage is connected to the input of
the common gate stage. The cascade configuration
provides enhanced performance characteristics such
as high gain, improved linearity, increased output
impedance and better bandwidth.
The advantage of cascading exploited in this
architecture is the reduced effect of CLM. As
mentioned earlier, the derivation of
transconductance in the standard beta multiplier
circuit assumes that CLM is negligible and hence it
is ignored. CLM is the phenomenon in which the
current variation of a transistor in the saturation
region is proportional to the variation in the drain-
to-source voltage, which deviates from the behavior
of a current source. In practical cases, the supply
voltage varies from the desired value, and hence the
drain-to-source voltage varies as well. This leads to
an error in the transconductance of the circuit due to
CLM.
Fig. 2: Beta Multiplier Circuit with Cascade Stage
Figure 2 represents the beta multiplier circuit
with a cascade stage. The transconductance is given
by Equation 6. Transistors M3 and M4 represent the
cascade stage which reduces the effect of CLM. The
effect of CLM is reduced by the shielding property
of the cascade device. The impedance seen from the
drain of the cascade stage is very high and hence a
variation in the voltage value at the drain translates
to a lesser variation at the drain of the input stage
(M1 and M2 in Figure 2).
2.3 Beta Multiplier Circuit with Common
Mode Feedback
The third architecture utilizes CMFB biasing to
reduce the effect of CLM significantly, which aids
in obtaining a constant Gm. CMFB biasing is a
technique used in analog circuit design to stabilize
the operating point of differential amplifiers and to
ensure proper operation in the presence of common-
mode input signals. In differential amplifiers, it is
important to maintain a balanced and stable biasing
condition to achieve accurate amplification of
differential signals while rejecting common-mode
signals. CMFB biasing provides a feedback
mechanism to monitor the common-mode voltage
and adjust the biasing current accordingly.
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Fig. 3: Beta Multiplier Circuit with CMFB
The CMFB circuit typically consists of a
differential amplifier that compares the common-
mode voltage at the input with a reference voltage.
The differential amplifier produces an error signal
that is fed back to the biasing circuitry to control the
biasing currents in the differential pair. By
dynamically adjusting the biasing currents, the
CMFB circuit keeps the common-mode voltage at
the desired level, ensuring stable and linear
operation of the amplifier.
Figure 3 represents the third architecture. The
Gm is once again governed by Equation 6. The three
architectures explained so far require an off-chip
resistor, which adds to the cost, area, and
complexity of the solution.
2.4 Modified Constant Gm Architecture
The fundamental concept of the idea involves
creating an on-chip conductance using a MOSFET,
operating in its linear region and utilizing it to track
the Gm of the transconductance through a negative
feedback loop. The success of this solution relies on
effectively maintaining a constant conductance of
the MOSFET regardless of changes in the operating
conditions.
2.4.1 Principle of Operation
The basic idea for the generation of a constant Gm is
represented in Figure 4.
Fig. 4: Principle of Operation, [2]
A small voltage (∆V) is applied to a
transconductor to generate an incremental current
(Gm ∆V). This current is then passed through a fixed
resistance ‘R’. The resistor R is a constant on-chip
resistor that is modeled with the help of Op-Amp
and a transistor in the deep linear region. The
resulting incremental voltage (Gm ∆V R) is
compared to the applied voltage (∆V) and the
transconductance value is adjusted through negative
feedback by modifying its bias current. The
adjustment continues until Gm ∆V R equals ∆V,
thereby ensuring that Gm is equal to 1/R. The bias
current generated in this process is mirrored in all
the on-chip transconductors that require stabilization
of their transconductances.
2.4.2 Generation of Constant On-Chip Resistance
Fig. 5: On-chip resistor, [2]
The depicted on-chip resistance R, in Figure 5 is
achieved by utilizing a PMOS transistor (Mlinear in
Figure 5) operating in the deep linear region. A
precise current, ISD = Ibias, is directed through this
transistor, while a precise source-to-drain voltage,
VSD = ∆V is maintained through negative feedback.
This feedback mechanism ensures that the resistance
between the source and drain terminals of the
PMOS transistor remains constant at ∆V/Ibias,
regardless of changes in the surrounding conditions.
Importantly, the replicated version of this resistance
can be implemented anywhere on the chip to
establish a consistent on-chip resistance.
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2.4.3 Circuit
Figure 6 represents the modified constant Gm circuit
employed for stabilizing the transconductance of a
fully differential transconductor. MR1 and MR2
function as the constant resistors whose gate
voltages Vg1 and Vg2 are routed from the circuit as
explained in Figure 5. These transistors are sized
significantly larger to ensure that any random
mismatches on the chip have a negligible effect on
the conductance. M1 and M2 form the input pair of
the transconductor where Gm needs to be fixed,
while M0 regulates the bias current through the pair.
The cascade transistors M5 and M6, are employed to
enhance the transconductor’ s output resistance.
Additionally, the PMOS loads M3 and M4 are sized
in such a way that their output conductance is
negligible in comparison to MR1 and MR2.
Fig. 6: Modified Constant Gm Circuit, [2]
A small differential DC voltage, 2∆V is
applied to the differential pair M
1
-M
2
, which
operates around the common mode voltage V
cm
.
This results in an incremental current,
Gm
∆V
flowing through M
1
-M
2
and into M
R1
-M
R2
. The
incremental voltages,
Gm
∆VR
MR1
and
Gm
∆VR
MR2
appear at V
om
and V
op
respectively, where R
MR1
and R
MR2
represent the source-to-drain resistances
of M
R1
and M
R2
. The circuit’s behavior can be
understood through negative
feedback. If the Gm
of M1-M2 is too high, Vom decreases and
V
op
increases. Consequently, transconductors T2 and T3
drive the gate of M7 higher, reducing the current
through M10. This mirrored current flowing through
M0 into the differential pair corrects the increase in
Gm of M1-M2. With high loop gain in the negative
feedback, the difference between the differential
inputs of T1 and T2 is forced to zero. This results in
the incremental resistances being identical (that is,
RMR1 = RMR2 = ∆V/Ibias). Furthermore, since Gm|M1,
M2∆VRMR1,RMR2 = ∆V, Gm |M1,M2 settles to Ibias/∆V.
The current biasing of the differential pair
possesses all the necessary characteristics to ensure
the insensitivity of Gm|M1, M2 to variations in ambient
conditions. As a result, this current is replicated
through a precise current mirror consisting of M12-
M13 and distributed to the transconductors
throughout the remaining sections of the chip.
2.4.4 Telescopic Operational Amplifier
Transconductors T1, T2, and T3 are replaced by
telescopic amplifier configuration. The telescopic
Op-Amp is a commonly used configuration in
analog integrated circuit design. It is a variation of
the classical two-stage Op-Amp architecture,
featuring a combination of a common-source input
stage and a common-gate output stage.
Fig. 7: Telescopic Op-amp Circuit
Figure 7 represents the telescopic Op-Amp
circuit. Transistors M1-M2 represent the input pair,
transistors M1C -M2C and M3C -M4C represent the
cascade stages, and transistors M3- M4 represent the
PMOS current source loads. The gain of the circuit
is given by Equation 7.
󰇛󰇜
3 Simulation Results
The architectures aforementioned are simulated
using the Cadence Virtuoso software tool and the
results obtained are analyzed in this section.
3.1 Standard Beta Multiplier Circuit
The Gm of ’M2in Figure 1 was swept with process
corners and supply voltage (PV variation).
Consequently, the Gm of ’M2 was swept with
temperature. The graphs obtained are shown in
Figure 8 and Figure 9 respectively.
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Fig. 8: Gm Variation with Process Corner and
Supply Voltage
Fig. 9: Gm Variation with Temperature
The variation of Gm of ’NM1’ with process
corner and supply voltage is shown in Figure 8. As
shown in Table 1, for supply voltage varying from
1.08V to 1.32V, the maximum and minimum values
of Gm are 1.42mS and 0.671mS respectively, which
translates to an error of 35.77% due to PV
variations.
Table 1. Gm values at Different Process Corners
Process
Corner
Minimum Gm
Value
(mS)
Maximum Gm
Value (mS)
ss
0.67178
0.99544
tt
0.82327
1.17
ff
1.05
1.42
As observed in Figure 9, the value of Gm varies
from 0.95418mS to 1.03mS for temperatures
varying from -40C to 125C, which translates to an
error of 3.8%.
3.2 Beta Multiplier Circuit with Cascade
Stage
The Gm of ’M2in Figure 2 was swept with process
corners and supply voltage (PV variation).
Consequently, the Gm of ’M2 was swept with
temperature. The graphs obtained are shown in
Figure 10 and Figure 11 respectively.
Fig. 10: Gm Variation with Process Corner and
Supply Voltage
Fig. 11: Gm Variation with Temperature
As observed in Figure 10, the variation of Gm
across process corners for a supply voltage varying
from 1.08V to 1.32V is obtained and tabulated in
Table 2. The maximum and minimum values of Gm
are 1.18mS and 0.745mS respectively, which
translates to an error of 22.55% due to PV
variations. This is an improvement from the
standard beta multiplier circuit which arises due to
the mitigation of CLM effect by cascade shielding
property.
Table 2. Gm values at Different Process Corners
Minimum Gm
Value (mS)
Maximum Gm
Value (mS)
0.745
1.03
0.89414
1.08
1
1.18
As observed in Figure 11, the value of Gm
varies from 0.923331mS to 1.05mS for temperatures
varying from -40C to 125C, which translates to an
error of 6.24%.
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3.3 Beta Multiplier Circuit with Common
Mode Feedback
The Gm of ’M2in Figure 3 was swept with process
corners and supply voltage (PV variation).
Consequently, the Gm of ’M2 was swept with
temperature. The graphs obtained are shown in
Figure 12 and Figure 13 respectively. The Op-Amp
is modelled by a VCVS, which is an ideal case of an
Op-Amp.
Fig. 12: Gm Variation with Process Corner and
Supply Voltage
Fig. 13: Gm Variation with Temperature
As observed in Figure 12, the variation of Gm
across process corners for a supply voltage varying
from 1.08V to 1.32V is obtained and tabulated in
Table 3. The maximum value of Gm is 1.053mS
which occurs at 125C in the ff corner. The
minimum value of Gm is 0.95972mS which occurs at
-40◦C in the ss corner. Hence, the error obtained for
PVT variation is 4.63%. This is an improvement
from the previous architectures and is due to the
property of CMFB, which stabilizes the voltages at
the input of the CMFB Op-Amp. Monte Carlo
simulation was performed for this architecture as the
error due to PVT variations is less.
Table 3. Gm values at Different Process Corners
Minimum Gm
Value (mS)
Maximum Gm
Value (mS)
0.99850
0.99935
1.006
1.007
1.012
1.137
As observed in Figure 14, the standard deviation
is 0.0108mS while the mean value is 1.006mS.
Hence, the error obtained is 3.24%. It is important to
note that the Op-Amp used in this simulation is
ideal. A non-ideal Op-Amp would contribute
significantly to the mismatch variation and
moderately to PVT variations.
Fig. 14: Monte Carlo Simulation
All the architectures mentioned above use an
external off chip resistor which adds to the cost,
area, as well as complexity of the circuit.
3.4 Modified Constant Gm Architecture
In this architecture, a differential on-chip resistor is
built with the help of an Op-Amp and PMOS biased
in the deep linear region as shown in Figure 5. For
the design, the value of Gm was chosen to be 1mS
while Ibias was set to 10µA. As discussed in Section
2:
 
󰇛󰇜
Therefore, from Equation 8 we get R = 1kΩ and
∆V = 10mV.
Fig. 15: V-I Curve at Different Process Corners
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The current ’Igm in Figure 6 is mirrored and
sent to another test transconductor whose
configuration is the same as the ‘Gm cell’ in Figure
6. The transistor ‘M41’ of the test transconductor is
to be stabilized as hown in Figure 15. The Gm of
’M0’ and ’M41’ in Figure 6 were swept with
process corners, supply voltage, and temperature
(PVT variation). ’M0’ refers to the NMOS which
functions as the tail current source at the input
transconductor. ’M41’ is the output NMOS whose
Gm is to be stabilized.
Fig. 16: Gm Variation with Process Corner and
Temperature
From Figure 16, it can be observed that the
maximum value of Gm is 1.6615mS for M0 and
1.081mS for M41. The minimum value of Gm is
1.5348mS for M0 and 1.036mS for M41. Hence, the
error for PVT variation is 3.965% for M0 and
2.108% for M41.
Fig. 17: Monte Carlo Simulation
Figure 17 represents the Monte Carlo
Simulation performed for the modified constant Gm
architecture. As observed in Figure 17, the standard
deviations of ’M0’ and ’M41’ are 15.1048 µS and
14.9713 µS respectively while their means are 1.55
mS and 1.03 mS respectively. Hence the error in Gm
due to mismatch is 2.91% for M0 and 4.32% for
M41.
3.5 Comparison of Architectures
The error in the value of Gm across the different
architectures is tabulated in Table 4. For the first 2
architectures, Monte Carlo mismatch simulation was
not carried out as the error of Gm is very high.
Monte Carlo simulation would increase the error
while the architecture is rejected due to the high
error caused by PVT variations itself. The second
architecture shows an improvement from the first
architecture by approximately 13%. This
improvement is due to the result of reducing the
second-order CLM effect, which was assumed to be
negligible in theory for the first architecture.
Table 4. Variation of Gm across Architectures
Sl.
No.
Architecture
Error in Gm (%)
1
Standard Beta Multiplier Circuit
35.77% (PVT Variations)
2
Beta Multiplier Circuit with
Cascade Stage
22.55% (PVT Variations)
3
Beta Multiplier Circuit with
CMFB
7.87% (PVT + Monte Carlo
Variations)
4
Modified Constant Gm Circuit
6.43% (PVT + Monte Carlo
Variations)
As observed in Table 4, architectures 3 and 4
show a similar percentage of error in Gm.
Nevertheless, it is worth to note that an ideal Op-
Amp is used in architecture 3 while there are no
ideal components used in the simulation of
Architecture 4. Along with variations in Gm, the first
3 architectures require an external off-chip resistor.
This increases the complexity, cost, and area of the
circuit. This problem is eliminated in the fourth
architecture as an on-chip resistor is designed using
transistors.
4 Conclusion
The different architectures were designed and
simulated successfully and the error in Gm was noted
down. The standard beta multiplier circuit had an
error of 35.77% in the transconductance due to PV
variations alone. The large value in error is due to
CLM. A cascade stage added to the standard beta
multiplier circuit showed an improvement of
13.22% as the cascade stage shields the input
transistor pair from the supply voltage, hence
reducing CLM. Further, the usage of common mode
feedback, which reduces the effect of CLM
significantly showed an improvement of 17.92%
from the cascade version. The aggregate error with
using feedback is 7.87%, which includes errors due
to PVT variations and Monte Carlo mismatch. The
feedback amplifier used is an ideal VCVS. Hence, it
is to be noted that in the practical case, the error will
increase further due to the usage of nonideal
WSEAS TRANSACTIONS on ELECTRONICS
DOI: 10.37394/232017.2024.15.3
Rajath Ithal H. L., Shylashree N.,
Mamatha A. S., Nikhil B. G.
E-ISSN: 2415-1513
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Volume 15, 2024
elements. The proposed architecture, which
stabilizes the transconductance through negative
feedback with the help of an on-chip resistor shows
an improvement of 1.442%.
Additionally, all the architectures apart from the
proposed one, require an off-chip resistor. This
introduces additional parasitic capacitance and
inductance, which can degrade the performance of
the circuit by introducing unwanted delays, signal
distortion, and noise. Moreover, off-chip resistors
require additional space on the circuit board, and
also increase the complexity of the manufacturing
process, as they need to be individually placed and
soldered onto the board.
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WSEAS TRANSACTIONS on ELECTRONICS
DOI: 10.37394/232017.2024.15.3
Rajath Ithal H. L., Shylashree N.,
Mamatha A. S., Nikhil B. G.
E-ISSN: 2415-1513
25
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed in the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare.
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WSEAS TRANSACTIONS on ELECTRONICS
DOI: 10.37394/232017.2024.15.3
Rajath Ithal H. L., Shylashree N.,
Mamatha A. S., Nikhil B. G.
E-ISSN: 2415-1513
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