1. بسم الله الرحمن الرحيم Lecture (1) Introduction to DSP Dr. Iman Abuel Maaly University of Khartoum Department of Electrical and Electronic Engineering Fourth Year (2015-2016) Digital Signal processing معالجة الإشارة الرقمية Digital Signal processing معالجة الإشارة الرقمية

2. What is Digital Signal Processing? 2 2015-2016

3. What is Digital Signal Processing? DSP is the mathematics, the algorithms, and the techniques used to manipulate signals after they have been converted into a digital form. 3 2015-2016

4. What is Digital Signal Processing? 4 H x(n) y(n) 2015-2016

5. Continuous Time Continuous Value Signal 5 Time Value 2015-2016

6. Discrete-time Continuous Value Signal 6 Time Value Sampling 2015-2016 T n

7. Discrete-time discrete Value Signal 7 x(4) 2015-2016 Quantization Time Value n x q (4)

8. Digital Signal 8 Decimal to Binary 00100010 10011001 - - - - - - - - 01100110 2015-2016 Coding Decimal -  binary

9. The Roots of DSP Digital Signal Processing is distinguished from other areas in computer science by the unique type of data it uses: signals. In most cases, these signals originate as sensory data from the real world: sound waves, visual images, etc. 9 2015-2016

10. The Breadth and Depth of DSP Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. 10 2015-2016

11. Historical Background The roots of DSP are in the 1960s and 1970s when digital computers first became available. Applications (military and governmental): – radar & sonar, – oil exploration, – space exploration, – and medical imaging, 11 2015-2016

12. Signal Theory/transforms Signal Space, Orthogonal, Wavelets Advanced DSP Band pass Sampling Theory, STFT, Filter banks, Multirate Basic DSP Sampling Theory, DFT, FFT, Filter Design & Implementation Major Signal Processing Areas Deterministic DSP Statistical DSP Mathematical Analysis Matrices Linear Algebra Random Processes Correlation, PDFs, Linear Systems Probability Statistics Optimization Theory Detection Theory Optimization Theory Modeling & Optimum Filters Adaptive Filters Supporting materials

13. ApplicationsApplications Telecommunications Multiplexing –Compression- Echo control Audio Processing Music - Speech processing Echo Location Radar –Sonar - Reflection seismology Image Processing Medical – Space - Commercial Imaging Products 13 2015-2016

14. Speech Processing The purpose of speech is communication. Man-machine communication by voice implies that it is possible for the computer to accept information given to it, or to give information in the form of spoken messages. 2015-2016 14

15. Block diagram of the pre-processor ADC Sampling +quantization Pre- emphasis Framing and Windowing End point Detection Raw Speech Speech Frames Detected speech 2015-2016 15

16. Speech Processing 2015-2016 16

17. The Future of DSP DSP uses mathematics and other techniques to manipulate signals like visual images and sound waves after those signals have been converted to a digital form. What are the latest technologies? 2015-2016 17

18. 2015-2016 18 Next Lecture