DSP – Linear Phase FIR filters

Filtering a signal means removing out the unwanted frequencies from signal while preserving the desired frequencies. One application of filtering is removing the noise from a signal. Digital filters are polynomial functions that does the wave-shaping of the signal. In this article we will see the overview of FIR filters, Linear Phase FIR filters and … Continue reading DSP – Linear Phase FIR filters

DSP Icebreaker – FFT and its interpretation. Windowing

In the first tutorial we saw how to draw a signal of given frequency. In this tutorial we will see how to observe the spectrum of a signal. We know to draw a sinusoidal signal we need two information : frequency of the signal and sampling frequency. Also Nyquist rule has to be respected. But … Continue reading DSP Icebreaker – FFT and its interpretation. Windowing

DSP Icebreaker – Adding white noise to signals, the proper way.

This article is in addition to the last article where we saw how to plot a sinusoidal wave using python. In this article we will see how can we add noise to signals. And later we will see the power of filters by removing our added noise. Noise is a unwanted disturbance in the signal. … Continue reading DSP Icebreaker – Adding white noise to signals, the proper way.

DSP Icebreaker – Drawing a Sine Wave in python of 100 Hz

In this article I'll show you the practical aspect of DSP, by simply drawing a sinusoidal signal in Digital domain, I will show you how all that theoretical knowledge we learn in classroom is used in implementing in something simple as a sine signal