What will you learn?

Foundation: Time and frequency domain representation; Analog signal processing; Sampling and digitization; Over sampling and under sampling; Quantization noise; Difference equation; classification of systems; Interpolation and decimation; Fourier transform; Z transform; DFT 2. Fast Fourier Transform: FFT algorithm; Implementation; Application to digital filtering and spectral analysis; Spectral leakage and frequency resolution limitations; Picket fence error; Discrete cosine transform 3. Filter design techniques: IIR filter design using Butterworth, Chebyshev and elliptic design; Bilinear transformation; FIR design using windows; Frequency sampling design; Design by optimization; Half band and Multiband FIR; Hilbert transformer; Raised cosine filter finite word length, precision and stability analysis. 4. Tool: MATLAB, Simulink

Batch Size

No Minimum

Course Material

Provided

Module Delivery

Fast Track — 4 Hrs / Day
Regular Track — 2 Hrs / Day

Duration

50 Hrs