Module 4 Basic Elements of Real-time DSP systems

The component of a DSP system responsible for converting digital signals back to analog form is

• ADC

• DAC

• Memory

• Processor

Distinguishes a DSP from a general-purpose microprocessor by

• DSPs can only process audio signals

• DSPs are not programmable

• DSPs are optimized for processing digital signals

• DSPs have fewer memory resources

The architecture does the TMS320C67x processor used is

• CISC (Complex Instruction Set Computer)

• RISC (Reduced Instruction Set Computer)

• VLIW (Very Long Instruction Word)

• SIMD (Single Instruction, Multiple Data)

The following techniques that can be employed to optimize memory usage in image processing algorithms is

• Fragmentation

• Memory pooling

• Data alignment

• Dynamic memory allocation

How does the TMS320C67x processor achieve parallel execution of instructions?

• By using a single-core configuration

• By increasing clock frequency

• By executing multiple instructions simultaneously

• By disabling DMA controllers

How does the TMS320C67x processor handle memory access in parallel?

• By accessing memory sequentially

• By using DMA controllers

• By increasing memory latency

• By accessing multiple memory banks simultaneously

The component of the TMS320C67x processor responsible for coordinating data transfers between memory and peripherals is

• Program Control Unit (PCU)

• Data Memory Unit (DMU)

• Direct Memory Access (DMA) Controller

• Memory Management Unit (MMU)

The optimization technique that can enhance the performance of image processing algorithms on the TMS320C67x processor

• Increasing clock frequency

• Utilizing multi-core configurations

• Minimizing memory usage

• Disabling parallel execution

The peripheral on C 6 X processor which allows buffering of serial samples in memory by port automatically & especially with an assistance of EDMA controller is

• Boot Loader

• HPI

• EMIF

• McBSP

The feature of  TMS320C67x processor architecture which enables efficient handling of complex signal processing tasks is

• Vector processing

• Scalar processing

• Sequential processing

• Branch prediction