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Signal Processing
Sparse Matrices and Compressed Sensing -- Less Is More
Sparsity is everywhere: JPEG photos, MRI scans, genomic data. Compressed sensing exploits this to recover signals from far fewer measurements than traditional theory requires. This chapter covers L1 regularization, …
ODE Chapter 4: The Laplace Transform
The engineer's secret weapon: turn differential equations into algebra with the Laplace transform. Learn the key properties, partial fractions, transfer functions, and PID control basics.