Computational characteristics of DSP algorithms and applications; their influence on defining a generic instruction-set architecture for DSPs. Architectural requirement of DSPs: high throughput, low cost, low power, small code size, embedded applications. Techniques for enhancing computational throughput: parallelism and pipelining. Data-path of DSPs: multiple on-chip memories and buses, dedicated address generatorunits, specialized processing units (hardware multiplier, ALU, shifter) and on-chipperipherals for communication and control.Control-unit of DSPs: pipelined instruction execution, specialized hardware for zero-overhead looping, interrupts.Architecture of Texas Instruments fixed-point and floating-point DSPs: brief descriptionof TMS320 C5x /C54x/C3x DSPs; Programmer’s model. Architecture of Analog Devicesfixed-point and floating-point DSPs: brief description of ADSP 218x / 2106x DSPs;Programmer’s model.

Advanced DSPs: TI’s TMS 320C6x, ADI’s Tiger-SHARC, Lucent Technologies’ DSP 16000VLIW processors.

Applications: a few case studies of application of DSPs in communication andmultimedia.Introduction to FPGA, RTOS, OS, Basics of Embedded systems

1.Architectures for Digital Signal Processing; P. Pirsch: John Wiley, 1999.

2.Digital Signal Processing in VLSI; R. J. Higgins: Prentice-Hall, 1990.

3.Texas Instruments TMSC5x, C54x and C6x Users Manuals.

4.Analog Devices ADSP 2100-family and 2106x-family Users Manuals.

5.VLSI Digital Signal Processing Systems; K. Parhi: John Wiley, 1999.

6.Digital Signal Processing for Multimedia Systems; K. Parhi and T. Nishitani: MarcelDekker, 1999