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Digital Cochlea Model Implementation Using Xilinx XC3S500E Spartan-3E FPGA

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Isabel Gambin, Ivan Grech, Owen Casha, Edward Gatt and Joseph Micallef Department of Microelectronics and Nanoelectronics University of Malta – PowerPoint PPT presentation

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Title: Digital Cochlea Model Implementation Using Xilinx XC3S500E Spartan-3E FPGA


1
Digital Cochlea Model Implementation Using Xilinx
XC3S500E Spartan-3E FPGA
  • Isabel Gambin, Ivan Grech, Owen Casha, Edward
    Gatt and Joseph Micallef
  • Department of Microelectronics and
    Nanoelectronics
  • University of Malta

2
Overview
  • Biological Cochlea
  • Cochlear Model
  • Digital Filter
  • Design
  • Design Verification
  • Implementation
  • Block Diagram
  • Multiplier Module
  • Adder Module
  • Results
  • Filter Chain
  • Design
  • Implementation
  • Block Diagram
  • Results
  • FPGA Usage
  • ADC Interface
  • Conclusion

3
Biological Cochlea
  • Basilar membrane performs filtering action on
    incoming sound waves due to its varying
    parameters. Comparable to a spectrum analyser.
  • Inner hair cells the mechanical neural
    transducers of the human auditory system.
  • Outer hair cells provide positive feedback into
    the membrane to amplify otherwise inaudible
    sounds. Comparable to an AGC system.

A cross-sectional view of the Cochlea 1.
An approximate frequency map of the basilar
membrane in kHz 1.  
4
Cochlear Model
  • Basilar membrane modelled by a cascade of scaled
    filter stages.
  • The filter stages are tuned at frequencies
    following an exponential distribution.
  • The model covers the human auditory range from 20
    Hz to 20 kHz.
  • Inner hair cells functionality is mimicked by
    taps set at regular intervals along the chain.
  • Outer hair cells are typically modelled by a
    controllable Q- factor in the filters transfer
    function.

5
Digital Filter Design
Digital Architecture of an IIR second-order
filter module 2.  
  • 2nd order IIR low-pass filter
  • Transfer function in analogue domain
  • Bilinear transform applied to map from s-plane to
    z-plane
  • Frequency warping is taken into account using
  • Comparable to the normalised generic transfer
    function
  • For implementation purposes the difference
    equation is utilised

6
Digital Filter Design Verification
  • Matworks Matlab is utilised to perform
    verification on two levels
  • that the bilinear transform is applied correctly
  • that the filter displays the required
    characteristics

7
Digital Filter Implementation
  • Implements the filters difference equation using
    multiplier and adder sub-modules.
  • Six sets of internal registers for storing past
    input and output values due to time multiplexing
    scheme.
  • Filter index identifies the filter stages in the
    chain.
  • Hence, it is used for proper loading of
    coefficients and to access the right set of
    registers.

8
Digital Filter Block Diagram
9
DFX Representation Used
  • Uses a single bit exponent to choose between two
    fixed point representations, lower Num 0 range
    and a higher Num 1 range
  • DFX representation implemented is 19_16_8
    (n_p0_p1)
  • n - word length
  • p0/p1 - positions of the radix from the LSB for
    the lower and higher range
    respectively.

10
Multiplier module (1)
  • Computes product terms in filters difference
    equation
  • Based on dedicated 18-bit input multiplier
    blocks available on the FPGA
  • Coefficient input is in fixed point (FX)
    representation 18_16 (m_pm)
  • Sample input and output are in dual-fixed point
    (DFX) representation 19_16_8 (n_p0_p1)
  • The Range Detector Equation was adapted
    throughout to test the range

11
Multiplier module (2)
  • Algorithm focuses on two main cases
  • Case1 DFX input has E 0
  • Case2 DFX input has E 1

12
Multiplier Module Results
  • Using Xilinx ISim simulator, VHDL testbenches
    where implemented to verify the operation of the
    Multiplier Module for different exponent
    combinations.
  • Two such cases are

13
Adder module (1)
  • Performs addition of product terms.
  • All inputs and output are in dual-fixed point
    (DFX) representation 19_16_8 (n_p0_p1)
  • Particular attention is paid to inputs with
    different exponents so as to scale them
    accordingly before performing addition.

14
Adder module (2)
  • Algorithm focuses on two main cases
  • Case1 All inputs have same exponent
  • Case2 Inputs have different exponents

15
Adder Module Results
  • Using Xilinx ISim simulator, VHDL testbenches
    are implemented to verify the operation of the
    Adder Module for different exponent combinations.
  • One such case is

16
Digital Filter Results (1)
  • Tests to verify correct functionality of filter
    module when all the registers in a particular set
    are in use.
  • Tests t0 confirm correct switching between sets
    of registers to retrieve the past input and
    output values according to filter stage index.
  • Input signals, output signals and contents of
    sub-modules are monitored at each clock cycle
    during testing.

17
Digital Filter Results (2)
18
Filter Chain Design
  • Composed of a 24-stage cascade utilising the 2nd
    order lowpass filter modules implemented.
  • Basilar membrane parameters vary in an
    exponential fashion.
  • Hence, filter stages are tuned at frequencies
    derived using the exponential relation
  • where ?x is the filter spacing, d? is the
    characteristic distance and t is the time
    constant of the filter.
  • Taps are implemented at every 4-stage filter
    cascade section.
  • Coefficients are generated in C code and stored
    in a VHDL package accessible to filter modules.

19
Filter Chain Implementation
  • Inputs are samples from a 14-bit ADC represented
    using the Num 1 range of the DFX representation.
  • Maximum sample rate of ADC is approximately
    1.5MHz.
  • Overflow flags to indicate whether samples fit
    within the adopted DFX range and any overflow
    within any of the sub-modules utilised.
  • FPGA has 20 dedicated onboard multipliers ,
    filter module uses 5, therefore only 4 filters
    could be employed at any one time.
  • Hence, time division multiplexing.
  • A 24-stage filter chain is implemented using
    filter modules with 6 sets of internal registers
    which emulate different filter stages.

20
Filter Chain Block Diagram
21
Filter Chain Results (1)
  • Verified that sample values are represented
    correctly in DFX format.
  • Verified correct propagation of samples
    throughout the filter chain by monitoring
    intermediate signals and variables.

22
Filter Chain Results (2)
  • Propagation of samples throughout the cascade are
    observed via values given on output port
    tap1_tl and tap2_tl.
  • Corresponding overflow indicated on
    tap1_overflow_tl and tap2_overflow_tl.
  • Overflow samples indicated by sample_overflow_tl
    .

23
FPGA Usage
  • The target FPGA is the Xilinx XC3S500E from the
    Spartan-3E family of devices.

24
ADC Interface
  • Required to utilise the evaluation boards
    analogue capture circuit which consists of
    programmable pre-amplifiers (LTC6912-1) and
    2-channel ADC (LTC1407A-1).
  • Enables/disables pins as described in timing
    diagrams.
  • Frequency Divider required to generate SPI_SCK
    clock signal which controls the SPI bus.
  • Moreover, twin channel facilitates the
    possibility of binaural cochlea modeling.

SPI timing diagram for communication between FPGA
master and programmable pre-amplifier chip 3.
SPI timing diagram for communication between FPGA
master and ADC chip 3.
25
Conclusion
  • The qualitative behaviour of the biological
    cochlea designed as a cascade of 2nd order IIR
    lowpass filter modules.
  • DFX arithmetic allowing the model to operate on a
    wider range of audio samples without overflow.
  • In future work, the design could be enhanced by
  • Modelling to a greater degree of accuracy the
    nonlinearities produced by outer hair cells
    (Automatic Gain Control).
  • Designing a means for outputting data from the
    cochlear filter model.
  • Including post-cochlea processing such as pitch
    detection, amplitude modulation detection,
    correlation , speech recognition, monaural and
    binaural sound localization cues extraction.

26
References
  • 1Lloyd Watts, Cochlear Mechanics Analysis and
    Analog VLSI, Ph.D. Thesis, California
    Institute of Technology, 1993
  • 2M. P. Leong, Craig T. Jin, Philip H. W. Leong,
    An FPGA-Based Electronic Cochlea, EURASIP
    Journal on Applied Signal Processing, Vol. 2003,
    No. 7, pp. 629-638, January 2003
  • 3Xilinx. (March 2006), Spartan-3E Starter Kit
    Board User Guide Version 1.0a, Online.
  • Available http//www.digilentinc.com/Data/Produc
    ts/S3EBOARD/S3EStarter_ug230.pdf
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