DSP applications using C and the TMS320C6X DSK (P3)

Architecture and Instruction Set of the C6x Processor • • • • • Architecture and instruction set of the TMS320C6x processor Addressing modes Assembler directives Linear assembler Programming examples using C, assembly, and linear assembly code INTRODUCTION Texas Instruments introduced the first-generation TMS32010 digital signal processor in 1982, the TMS320C25 in 1986 [1], and the TMS320C50 in 1991. Several versions of each of these processors—C1x, C2x, and C5x—are available with different features, such as faster execution speed. These 16-bit processors are all fixed-point processors and are code-compatible. In a von Neumann architecture, program instructions and data are stored in a single memory. | DSP Applications Using C and the TMS320C6x DSK. Rulph Chassaing Copyright 2002 John Wiley Sons Inc. ISBNs 0-471-20754-3 Hardback 0-471-22112-0 Electronic 3 Architecture and Instruction Set of the C6x Processor Architecture and instruction set of the TMS320C6x processor Addressing modes Assembler directives Linear assembler Programming examples using C assembly and linear assembly code INTRODUCTION Texas Instruments introduced the first-generation TMS32010 digital signal processor in 1982 the TMS320C25 in 1986 1 and the TMS320C50 in 1991. Several versions of each of these processors C1x C2x and C5x are available with different features such as faster execution speed. These 16-bit processors are all fixed-point processors and are code-compatible. In a von Neumann architecture program instructions and data are stored in a single memory space. A processor with a von Neumann architecture can make a read or a write to memory during each instruction cycle. Typical DSP applications require several accesses to memory within one instruction cycle. The fixed-point processors C1x C2x and C5x are based on a modified Harvard architecture with separate memory spaces for data and instructions that allow concurrent accesses. Quantization error or round-off noise from an ADC is a concern with a fixed-point processor. An ADC uses only a best-estimate digital value to represent an input. For example consider an ADC with a word length of 8 bits and an input range of V. The steps represented by the ADC are input range 28 3 256 . This produces errors which can be up to 2 . Only a best estimate can be used by the ADC to represent input values that are not multiples of 61 62 Architecture and Instruction Set of the C6x Processor mV. With an 8-bit ADC 28 or 256 different levels can represent the input signal. An ADC with a larger word length such as a 16-bit ADC currently very common can reduce the quantization error yielding a higher resolution. The more .

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