Pinned Repositories
RADAR-Signal-Processing
Performed matched filter, windowing, and doppler processing on a radar data cube (9000 range bins x 256 pulses) to detect moving targets.
Signal-strength-on-Urban-Street
Simulated the signal strength of a mobile receiver at various locations on a street between two buildings. Observed that the total path loss and signal strength is different at each locations.
SMA-on-Music-Files
As SMA filter is a simple low pass FIR filter, the high frequency content of the audio signal is removed. Higher the order of the filter, more high frequency components are removed.
Buy-and-Sell-Signals
The closing prices of a financial data is passed through two SMA filters of different order to create crude "Buy" and "Sell" signals. The point where the output of two SMA filters intersect and the curve of first SMA filter is increasing, this is the “Sell” signal and if the curve is decreasing then it is “Buy” signal.
Denoising-EMG-signals-via-TKEO
Inclusion of the Teager–Kaiser energy operator (TKEO) in signal conditioning increases the accuracy of popular electromyography (EMG) onset detection methods.
Narrowband-Filtering
Used narrowband filtering to separate out the different sources of noise from different sources in the audio signal.
Polyphase-Filter
Welch-s-method
Welch's method (also called the periodogram method) for estimating power spectra is carried out by dividing the time signal into successive blocks, forming the periodogram for each block, and averaging.
Analog-vs-Digital-Signal-Transmission
Avoid-Edge-Effects-with-Reflection
The contamination of a signal at the edges while passing through a zero phase-shift filter can be avoided by reflection.
purvahalarnkar's Repositories
purvahalarnkar/Time-series-Denoising
purvahalarnkar/Remove-Artifact
The goal is to find some pattern in the data channel that looks like the artifact and remove it from the data channel.
purvahalarnkar/Denoising-EMG-signals-via-TKEO
Inclusion of the Teager–Kaiser energy operator (TKEO) in signal conditioning increases the accuracy of popular electromyography (EMG) onset detection methods.
purvahalarnkar/Low-pass-filter
Applied low pass filter (firls) to a randomly generated signal containing brownian noise, white noise and a large spike.
purvahalarnkar/Avoid-Edge-Effects-with-Reflection
The contamination of a signal at the edges while passing through a zero phase-shift filter can be avoided by reflection.
purvahalarnkar/Causal-and-Zero-Phase-shift-Filters
purvahalarnkar/FIR-and-IIR-Filters
purvahalarnkar/DAQmx-task-Thermocouple
purvahalarnkar/Narrowband-Filtering
Used narrowband filtering to separate out the different sources of noise from different sources in the audio signal.
purvahalarnkar/Traffic-Lights
purvahalarnkar/Moving-Average-
Calculated moving average of 5 random numbers
purvahalarnkar/Karplus-Strong-Algorithm
purvahalarnkar/Analog-vs-Digital-Signal-Transmission
purvahalarnkar/Welch-s-method
Welch's method (also called the periodogram method) for estimating power spectra is carried out by dividing the time signal into successive blocks, forming the periodogram for each block, and averaging.
purvahalarnkar/Fourier-Transform
purvahalarnkar/FIR-filter-on-audio
purvahalarnkar/FIR-Bandpass-Filter
purvahalarnkar/Digital-Lowpass-Filter
purvahalarnkar/Finite-word-length-effects
Q1) Designed a 6th order butterworth LPF with infinite precision and 24 bit precision. Q2) Designed a 2nd order recursive filter with infinite precision and 2's complement 4-bit precision
purvahalarnkar/Polyphase-Filter
purvahalarnkar/Inverse-Filter-on-Audio
The output of inverse filter is corrupted by noise. The quality of audio has decreased. Noise amplification is a major problem for the inverse filter.
purvahalarnkar/SMA-on-Music-Files
As SMA filter is a simple low pass FIR filter, the high frequency content of the audio signal is removed. Higher the order of the filter, more high frequency components are removed.
purvahalarnkar/Buy-and-Sell-Signals
The closing prices of a financial data is passed through two SMA filters of different order to create crude "Buy" and "Sell" signals. The point where the output of two SMA filters intersect and the curve of first SMA filter is increasing, this is the “Sell” signal and if the curve is decreasing then it is “Buy” signal.
purvahalarnkar/Cognitive-Radio-System
A cognitive radio system is a tranceiver which automatically detects available channels in a wireless spectrum and accordingly changes its transmissiona and reception parameters. This project is a basic simulation of a simple cognitive radio environment.
purvahalarnkar/Signal-strength-on-Urban-Street
Simulated the signal strength of a mobile receiver at various locations on a street between two buildings. Observed that the total path loss and signal strength is different at each locations.
purvahalarnkar/RADAR-Signal-Processing
Performed matched filter, windowing, and doppler processing on a radar data cube (9000 range bins x 256 pulses) to detect moving targets.
purvahalarnkar/Resource-allocation-in-Cognitive-Radio-
Resource allocation for underlay DSA Cognitive Radio networks using reinforcement learning (Q-Learning))