SYSTEMS AND METHODS FOR COMPUTING CONTINUOUS WAVELET TRANSFORM ON A DEDICATED INTEGRATED CIRCUIT

• US 20130007083A1
• Filed: 06/30/2011
• Published: 01/03/2013
• Est. Priority Date: 06/30/2011
• Status: Abandoned Application

• Current Assignee: Nellcor Puritan Bennett Ireland
• Original Assignee: Nellcor Puritan Bennett Ireland
• Inventors: Galen, Peter, Ochs, James, Watson, James, Wilmering, Tom, Addison, Paul
• Application Number:
  US13/174,354
• Publication Number:
  US 20130007083A1
• Time in Patent Office: Days
• US Class Current: 708/400
• CPC Class Codes: G06F 17/148 Wavelet transforms

Abstract

Methods and systems are disclosed for computing one or more continuous wavelet transforms on a dedicated integrated circuit. The systems comprise an integrated circuit having a receiver, memory, and processing circuitry. The receiver receives input data corresponding to an input signal. The memory stores information corresponding to one or more wavelet functions scaled over a set of scales. The processing circuitry is configured to compute, in-parallel, various portions of a single continuous wavelet transform of the input signal based on the received input data and the stored information corresponding to a single wavelet function computed over a set of scales.

Claims

1. A system for computing a continuous wavelet transform, comprising:

an integrated circuit having a receiver, memory, and processing circuitry;

the receiver being configured to receive input data corresponding to an input signal;

the memory being configured to store information corresponding to a wavelet function scaled over a set of scales; and

the processing circuitry being configured to compute, in parallel, portions of a continuous wavelet transform of the input signal based on the received input data and the stored information corresponding to the wavelet function.

2. The system of claim 1, wherein the processing circuitry comprises a plurality of arithmetic logic units, wherein each ALU is configured to compute the continuous wavelet transform of the input signal using the wavelet function at a particular scale.

3. The system of claim 2, wherein each ALU comprises at least one buffer for storing an input signal from the receiver, at least one memory element that stores information corresponding to a first scaled version of a wavelet function, and at least one multiply-and-accumulate unit connected to the buffer and the memory element.

4. The system of claim 3, wherein the at least one multiply-and-accumulate unit is configured to compute a dot product of a scaled version of the wavelet function and the input data to generate a resultant CWT value.

5. The system of claim 1, wherein the wavelet function comprises one of Morlet wavelet, a Mexican hat wavelet, Shannon wavelet, Hermitian wavelet, Hermitian hat wavelet, Beta wavelet, Causal Wavelet, Cauchy wavelet, Addison wavelet, and a user-defined wavelet function.

6. The system of claim 1, wherein the stored information in memory comprises half of a real and an imaginary part of a scaled version of the wavelet function using which a full real and imaginary part of the scaled wavelet function is constructed.

7. The system of claim 1, wherein the system is implemented on at least one of a Field-Programmable-Gate-Array (FPGA) and an Application Specific Integrated Circuit (ASIC).

8. A method for computing a continuous wavelet transform, comprising:

receiving input data corresponding to an input signal;

storing in memory information corresponding to a wavelet function scaled over a set of scales; and

computing, in-parallel, portions of the continuous wavelet transform of the input signal based on the received input data and the stored information corresponding to the wavelet function.

9. The method of claim 8, further comprising computing the continuous wavelet transform of the input signal using a wavelet function at a particular scale.

10. The method of claim 8, further comprising computing a dot product of a scaled version of the wavelet function and the input data to generate a resultant continuous wavelet transform value.

11. The method of claim 8, wherein the wavelet function comprises one of Morlet wavelet, a Mexican hat wavelet, Shannon wavelet, Hermitian wavelet, Hermitian hat wavelet, Beta wavelet, Causal wavelet, Cauchy wavelet, Addison wavelet, and a user-defined wavelet function.

12. The method of claim 8, further comprising storing in the memory half of a real and an imaginary part of a scaled version of the single wavelet function using which a full real and imaginary part of the scaled wavelet function is constructed.

13. The method of claim 8, further comprising performing the continuous wavelet transform of the input signal on at least one of a Field-Programmable-Gate-Array (FPGA) and an Application Specific Integrated Circuit (ASIC).

14. A system for one or more wavelet transforms, comprising:

an integrated circuit having a receiver, memory, and processing circuitry;

the receiver being configured to receive input data corresponding to an input signal;

the memory being configured to store information corresponding to one or more wavelet functions scaled over one or more sets of scales; and

the processing circuitry being configured to compute, in parallel, a separate continuous wavelet transform of the input signal for each of the one or more wavelet functions based on the received input data and stored information corresponding to each of the one or more wavelet functions scaled over the one or more sets of scales.

15. The system of claim 14, wherein the processing circuitry comprises one or more processing units, each including one or more arithmetic logic units for computing the continuous wavelet transform at one or more scales.

16. The system of claim 15, wherein the one or more processing units output to a user interface one or more scalograms corresponding to the one or more wavelet transforms computed using the one or more wavelet functions.

17. The system of claim 14, wherein the processing circuitry further comprises circuitry corresponding to a selector configured to select one of the one or more wavelet functions as a most optimal wavelet function for the input signal.

18. A method for computing one or more continuous wavelet transforms, comprising:

receiving input data corresponding to an input signal;

storing in memory information corresponding to one or more wavelet functions scaled over one or more sets of scales; and

computing, in parallel, a separate continuous wavelet transform of the input signal for each of the one or more wavelet functions based on the received input data and stored information corresponding to each of the one or more wavelet functions scaled over the one or more sets of scales.

19. The method of claim 18, further comprising outputting to a user interface one or more scalograms corresponding to the one or more wavelet transforms computed using the one or more wavelet functions.

20. The method of claim 18, further comprising selecting one of the one or more wavelet functions as a most optimal wavelet function for the input signal.