Digital signal processing (DSP) puts forward a number of specific demands to processors for realization of DSP. First of all the DSP-processors are arithmetical processors intended for arithmetical processing of big number information (signal samplings), which enter to the DSP-processor in a real scale of a time. At that arithmetical processing is reduced as a rule to realization of arithmetica...

TMS 320 C 6713 DSK is used for the implementation of signal generator (DSP). The DSP processor TMS320C6713DSK with Code Composer Studio has been used to generate the signal waveforms and is used for interfacing user and the DSP board. A look-up table method has been used to generate signal waveforms and frequencies as well as amplitude of waveforms are independently adjustable. The user can pro...

Background and Objectives: Digital signal processors are widely used in energy constrained applications in which battery lifetime is a critical concern. Accordingly, designing ultra-low-energy processors is a major concern. In this work and in the first step, we propose a sub-threshold DSP processor. Methods: As our baseline architecture, we use a modified version of an existing ultra-low-power...

This paper shows our work on performance optimized implementations of low-level vision algorithms on a Digital Signal Processor (DSP). The platform is a TI TMS320C6414 DSP running with 1 GHz and is therefore a cutting edge DSP. Performance optimization steps for DSP implementations are shown. A final benchmark compares the DSP with Field Programmable Gate Array (FPGA) implementations.

This paper describes the application of a measurement based power analysis technique for an embedded DSP processor. An instruction-level power model for the processor has been developed using this technique. Sig-niicant points of diierence have been observed between this model and the ones developed earlier for some general-purpose commercial microprocessors 1, 2]. In particular, the eeect of c...

Today, more and more products–in areas as diverse as telecom, mass storage, audio, and motor control–depend on digital signal processing. Processor vendors have responded with a dizzying array of processor designs. DSP processor manufacturers continue to add new architectures to their product lines every year. Meanwhile, nearly every microcontroller vendor has announced DSP extensions to its ar...

This paper implements a VLSI based Adaptive noise canceller (ANC) using Least Mean-Square (LMS) and Normalized Least Mean-Square (NLMS). Adaptive filters are capable of adapting their filter coefficients as per the variations in characteristics of input signal and noise to achieve a noise free signal. These algorithms have been implemented on Digital Signal Processor. Platform used for implemen...