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Audio_equalizer_gterra1970 Downloaded：0: AUDIO EQUALIZER by gterra1970 equalizer in the audio band with gain settable in a limited number of sub-bands
Date : 2025-10-31 Size : 31kb User : terra1970
WOSA_Spectral_analisys_gterra1970 Downloaded：0: NON PARAMETRIC SPECTRAL ANALISYS (WOSA) by gterra1970 spectral analysis of a signal from 2 different musical instruments received on 2 separate channels and sent to a packet analyzer of 1024 samples at a frequency of 64
Date : 2025-10-31 Size : 16kb User : terra1970
Notch_filtering_gterra1970 Downloaded：0: NOTCH FILTERING by gterra1970 filtering a 60 khz noise superimposed on a real signal in the 0-5 kHz band
Date : 2025-10-31 Size : 190kb User : terra1970
earthquake_simulation_gterra1970 Downloaded：0: CHARACTERISTICS OF AN EARTHQUAKE by gterra1970 seismic event recorded by 100 fixed stations in the territory. known the epicenter obtained from the arrival times to the stations we seek the power of the earthquake and th
Date : 2025-10-31 Size : 184kb User : terra1970
ADJUSTMENT Downloaded：0: it is used for a adjustment only
Date : 2025-10-31 Size : 1.07mb User : mahd
probabilistic lane association Downloaded：0: paper based on radar lane imaging
Date : 2025-10-31 Size : 2.13mb User : u1991
Iris_LinearRegression Downloaded：0: Python iris data classification example, using linear regression algorithm.
Date : 2025-10-31 Size : 2kb User : rhlee2k
Numerical_methods__Stahel_2012 Downloaded：0: The principal goal of this book is to provide the reader with a thorough knowledge of the fundamentals of numerical methods utilized in various disciplines in engineering and science
Date : 2025-10-31 Size : 2.09mb User : Pica
ADPCM Downloaded：0: ADPCM encoder and decoder
Date : 2025-10-31 Size : 283kb User : midpush
Chapter 5 (Monte Carlo Methods) Downloaded：0: Explain the basic ideas of intensive learning and how to write intensive learning through an example.
Date : 2025-10-31 Size : 14kb User : xinjiangafanti
Chapter 6 (Temporal Difference Learning) Downloaded：0: Explain Q learning and sarsa learning in intensive learning, and explain how to use these learning methods through concrete examples
Date : 2025-10-31 Size : 24kb User : xinjiangafanti
RBMLIB Downloaded：0: This is deep neural network
Date : 2025-10-31 Size : 2.79mb User : omajiman

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