An Introduction to Signal Processing
Signal processing is an emerging technology that incorporates the fundamental theory, algorithms, processing and transferring information in different patterns broadly designated as signals.
The Components of Digital Signal Processing
Computation: Mathematical operations, and processes by accessing the program from the program memory, and the information stored in the data memory.
Data Memory: Stores the information to be processed and works with program memory.
Program Memory: Stores the programs; the processor compresses or manipulates data.
Input/output ports: Used for data processing and analysis.
Digital Signal Processing Applications
Audio compression. digital image processing. compression of videos, speech processing and recognition, digital communications, radio detection and ranging system, seismology and sound navigation and ranging system.
Digital Signal Processing Applications - Engineering Devices
Radar is an object -detection system. Sonar is an application of DSP.
Digital Signal Processor Performance
The most important challenge in executing DSP algorithms is transferring the data from the memory.The goal of digital signal processing is to measure, filter and compress analog signals.