Digital Signal Processing Techniques example essay topic

TITLE: VLSI and DSP applications This paper serves as a brief introduction to VLSI and DSP application. Digital audio, speech recognition, cable modems, radar, high-definition television, medical electronics, instrumentation and measurement, industrial motor control -these are but a few of the applications relying on digital signal processing (DSP) and very large scale integration (VLSI). VLSI is the technology, which has the power of integrating millions of transistors on single silicon chip. VLSI families i.e. Plus, FPGAs, ASICs along with electronic design automation tools have improved the VLSI technology.

Digital Signal Processing is distinguished from other areas in computer science by the unique type of data it uses: signals. These signals originate as sensory data from the real world: seismic vibrations, visual images, sound waves, etc. DSP is the mathematics, the algorithms, and the techniques used to manipulate these signals after they have been converted into a digital form. The following are the VLSI applications: . Consumer electronics (flat TV, washing machine, video camera, cd, etc. ).

Defense (radar). Computers (add on cards, motherboards, processor etc. ). Communication (computer networking, mobile communication, modem) DSP IS a main application of VLSI. Today, dedicated DSP hardware is developed primarily for the fields of image filtering, compression and coding.

As standards are adopted, even general-purpose microprocessors are being designed to integrate basic digital signal processing functionality. VLSI processors are capable of implementing a wide variety of tasks at high levels of efficiency. The main advantage of VLSI is that it can work at high frequencies. In the field of DSP, VLSI architecture has been used to substantially reduce system power consumption through forms of data manipulation, such as shift operations. Consequently, as industrial demand for extensive signal processing has increased over the years, DSP has evolved into one of the primary applications of VLSI technology. The following are the applications of dsp: Space (improvement of images obtained from unmanned satellites and space exploration vehicles) Military (radar) Seismology medicine: Medicine was revolutionized by the ability to look inside the living human body Computed tomography (CT) is a classic example of Digital Signal Processing.

X-rays from many directions are passed through the section of the patient's body being examined. Instead of simply forming images with the detected x-rays, the signals are converted into digital data and stored in a computer. The information is then used to calculate images that appear to be slices through the body. These images show much greater detail than conventional techniques, allowing significantly better diagnosis and treatment.

Magnetic Resonance Imaging (MRI) uses magnetic fields in conjunction with radio waves to probe the interior of the human body. Besides providing excellent discrimination between different types of soft tissue, MRI can provide information about physiology, such as blood flow through arteries. MRI relies totally on Digital Signal Processing techniques, and could not be implemented without them.