DSPP Class of 2018

-
DSPP Class of 2018- was one of the best experiences this semester. An extension to the fascinating subject of Signals and Systems, we sure developed a lot more understanding and insight to Digital Signal Processing. Under the amazing guidance of Prof. K.T.Talele who taught us Digital Signal Processing in a very interactive and enriching classroom. He also taught us the importance of respect and classroom behavior. The practicals enabled us to get a stronger foundation in C, explore patents online- learn how to write reviews apart from the subject. Blog writing has been very enjoyable and something different from the monotony of writing journals.. This sure has been a fantastic experience.

Comments

Post a Comment

Popular posts from this blog

Exp- 4 Filtering of Long Data Sequence using Overlap Add and Overlap Save method

-
Overlap Add and Overlap Save method are used for filtering long data sequences. Such a long data sequence would need a very high order FFT- which is not feasible and the process can only start after we've obtained the entire data sequence which leads to a delay. The long data sequence is broken into smaller parts and performed FFT analysis. It is then fitted with one another, the overlapped portion is discarded in Overlap Save Method whereas it is added in OAM to get required output sequence.
Read more

Exp-2 Discrete Fourier Transform

-
This practical really helped me understand DFT in a greater depth. It helped me connect the knowledge sir taught in the class, and aquire a greater understanding. In  mathematics , the  discrete Fourier transform  ( DFT ) converts a finite sequence of equally-spaced  samples  of a  function  into a same-length sequence of equally-spaced samples of the  discrete-time Fourier transform  (DTFT), which is a  complex-valued  function of frequency. The interval at which the DTFT is sampled is the reciprocal of the duration of the input sequence. To understand DFT better, we've performed discrete Fourier transform of a 4 point sequence by coding it. What I learned in that experiment is: 1) Results by DFT are always periodic about the number of input values. 2)The spectrum is discrete from o to pi. 3)Upon zero-padding the input signal, the length of the input signal increased- which increases the frequency spacing. 4)As frequ...
Read more

Exp-3 Fast Fourier Transform

-
Image
Fast Fourier Transform(FFT) A   Fast Fourier transform  ( FFT ) is an algorithm that samples a signal over a period of time (or space) and divides it into its frequency components. FFT is manually verified and performed using flowgraphs. FFT is much faster than DFT and more efficient as it requires less number of real and complex additions and multiplication. The computation is considerably reduced from M2N2 to MNlogMlogN
Read more