1. Noise Canceling in 1-D Data: Presentation #2 Seri Rahayu Abd Rauf Fatima Boujarwah Juan Chen Liyana Mohd Sharipp Arti Thumar M2 Jan 24, 2005 Architecture Proposal Overall Project Objective: Implementing Noise Cancellation Algorithm in Hardware

2. Status Design proposal (Done) Architecture proposal: –Final algorithm description (Done) –High level simulation in C (Done) –Mapping of algorithm into hardware (Done) –Behavioral Verilog simulation and test bench (Debugging) To be done: –Floor plan –Structural Verilog –Layout –Spice simulation

3. Design Decisions Use 16-bit floating point numbers approximating up to 10 -5 Choose M=1 because target applications do not usually have higher harmonics Change integer multipliers and adders to floating point Make a bigger ROM table for the sine and cosine functions

4. Algorithm Description Goal: To minimize noise Algorithm: Based on adaptive filtering depending on signal weights Pseudo-code: i)Take the input signal and model it using Fourier Transform ii)For each sample, model it by approximating the weight constant and feeding it back to the next sample iii)Each sample model is then subtracted from the original input signal to monitor the error

5. Original Flow-chart

6. Revised Flow-chart

7. The Micron Experiment

8. High Level Simulation in C Simulation of input before the modification

9. Simulation of input file after the modification

10. Error comparison

11. Mapping of Algorithm into Hardware Major functional components: –Floating point multipliers (FPM) –Floating point adders (FPA) –16-bit Registers (Reg) –ROM – sine, cosine –SRAM – μ, μ 0, ω 0

12. Block Diagram

13. Behavioral Verilog always@(datum) begin w1=0; w2=0; offset = 10; in = datum - offset; sumw0 = sumw0 + w0; x1 = sin(sumw0); x2 = cos(sumw0); /* output = truncated Fourier Series*/ out = 0; out = w1 * x1 + w2 * x2; /* calculate error*/ e = in - out; /*update amplitude weights */ temp = 2*mu*e; w1 = w1 + temp*x1; w2 = w2 + temp*x2; end

14. Revised Transistor Count PartTransistors 16-bit FPA5x500 = 2500 16-bit FPM5x4000 = 20000 SRAM500 ROM1600 Registers7x16x14 = 1568 Total≈ 26168

15. Challenges… Timing issues –Need to reuse hardware (multipliers) –Clock skew –Pipelined architecture to increase speed and throughput SRAM implementation ROM implementation Transistor count is too high

16. Questions?