Unformatted text preview: T . 1. (50 points) You are now set to learn this kernel. Hand the input and the output signal to a new program that attempts to learn the kernel h ( t ) via a simple gradient descent rule. Quantify how well your program learns the kernel by plotting the squareerror on the output signal as time progresses. 2. (50 points) Now assume that the output signal passes thru the static nonlinearity ˜ y ( t ) = ( y ( t )) 3 . Ask your program to learn a kernel for this pair of input and output, i.e., x ( t ) and ˜ y ( t ) . Quantify how well your system performs on this case. 1...
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 Spring '08
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 Digital Signal Processing, Algorithms, LTI system theory, Timeinvariant system, Computational Neuroscience Spring

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