1. DSP (digital signal processing) (DSP) deals with commonly signals such as speech, music, video, EKG or ECG (heart), and EEG (brain).

2. Applications of DSP Signal transmission /storage/retrieval Information extraction Speech coding, music coding, data compression communication over noisy channels Radar and sonar signal processing Speech,image and character recognition

3. Preparing the analog signal for communication through a communication channel

4. Analyzing the analog signal for use in a voice recognition telephone system.

5. DSP block diagram SIGNALS, SYSTEMS, AND SIGNAL PROCESSING A signal is defined as any physical quantity that vary with time or any independent variables A system may also be defined as a physical device that performs an operation on a signal A Signal processing is the operations that performed on the signal means processed the signal.

6. Classification of signals:- Multi channel and multi dimension signals Continuous Time versus Discrete Time Signal Continuous – Valued versus Discrete – Valued Signals Deterministic signal and Random signal

7. Analog-To-Digital convertor Sampler Quantization Coding.

8. Sampling of analog signal This is the conversion of a continuous-time signal into discrete-time signal obtained by taking samples of the continuous-time signal at discrete-time instant

10. The sampling theorem introduced by Nyquist and later by Shannon is used to determine the appropriate sampling rate Fs≥2Fmax