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

What is Digital Signal Processing?

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

What is Digital Signal Processing? 4 H x(n) y(n)

Continuous Time Continuous Value Signal 5 Time Value

Discrete-time Continuous Value Signal 6 Time Value Sampling T n

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

Digital Signal 8 Decimal to Binary Coding Decimal -  binary

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

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

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,

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

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

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

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

Speech Processing

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?

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