Working backwards through a deep convolutional network, to recreate the input image - and identify areas for improvement.
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Updated
Apr 1, 2021 - Python
Working backwards through a deep convolutional network, to recreate the input image - and identify areas for improvement.
dispersion.py - A Python algorithm for phase angle and amplitude correction of pressure bar signals
SImple guitar tuner for classical guitar
personal programs for signal analysis
Tuning guitar using Discrete Fourier transform and Harmonic Product Specturm
Python implementation of pulse profile scattering deconvolution
Menu driven python script plots oscilloscope trace results from ADI's ADALM2000 Advanced Learning Module CSV export files. Includes FFT and filter analysis options.
Signal analysis exercises which follow ACS 597 at Penn State
For continuity tests of the wire planes in the ICARUS detector
Test for phase shift for Comb signal step by step
Collection of audio tools for inspecting and processing.
Stock price predicetion (classification and regression) using LSTM.
A Light-weight Deep-learning Quant Framework
speed_trap_velocity.py - A Python algorithm for calculating the velocity of the striker bar during split-Hopkinson pressure bar experiments
phase_velocity.py - A Python algorithm for calculating frequency-dependent phase velocity and radial variation of elastic waves in cylindrical bars
Digital signal processng using Python
process_SHPB.py - A Python algorithm for stress wave dispersion correction in split-Hopkinson pressure bar experiments
Derivation, entirely by probability theory, of the correlation coefficient for a two-channel Bell test, with simulation in Ada and other languages. The Nobel Committee for Physics has banned this program. (Mirrored at https://eprb-signal-correlations.sf.net)
SHPB_Processing.py - An open-source Python algorithm for correcting stress wave dispersion in split-Hopkinson pressure bar experiments
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