Brief Introduction
Intuition, Theory and ApplicationsDescription
This course covers main concepts of digital signal processing, using intuitions not only the theory, also covers the topics with examples, and illustrations. You will learn techniques like Correlation, Fourier Transform, Laplace Transform, Z Transform, FIR filters, IIR Filters, Multirate Filters, Floating point representation,Fixed point representation, Convolution, Continuous Wavelet transform, Discrete Wavelet transform.
Requirements
- Requirements
- Basic Matlab and C programming
Digital Signal Processing (DSP) From Ground Up™ in C
- 4
-
![]()
![]()
![]()
![]()
![]()
Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc This version of the course uses the C programming language....
Digital Signal Processing (DSP) From Ground Up™ with MATLAB
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Practical DSP with Matlab : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, ECG processing This version of the course uses the MATLAB programming language....
Discrete-Time Signal Processing
- 0.0
-
![]()
![]()
![]()
![]()
![]()
A focused view into the theory behind modern discrete-time signal processing systems and applications. 6. 6. The course text is the widely used text by Oppenheim and Schafer (third edition)....
Discrete Time Signals and Systems
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Enter the world of signal processing: analyze and extract meaning from the signals around us! Coming Soon February 2021. Coaching S....
