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Energy consumption is an issue in general in information and communication technologies (ICT), but also cellular communications in particular. Base station sites are the main energy consumers in a mobile network. Their energy consumption significantly contributes to green house gas (Co2) emissions. It has been found that digital baseband is the main contributor to dynamic part of the power consumption...
New telecommunication systems are based more than ever before on digital signal processing. High speed digital telecommunication systems such as OFDM and DSL need real-time high-speed computation of the Fast Fourier Transform. Thus there is a need of innovative algorithms to improve the speed. In this paper, we propose vedic algorithm for the implementation of multipliers to be used in the FFT. Vedic...
The computation amount of SAR radar image is huge. To reach real-time speed, we need high-function device. The computation task of SAR concentrates on range and azimuth compressions. Usual measure of compression is using high speed DSP, but FPGA technique is improving so fast that it has become a better way to realize compression than DSP. DSP often needs external interface and control chips to work...
The fast Fourier transform (FFT)is a computationally intensive digital signal processing(DSP)function widely used in applications such as imaging ,software-defined radio, wireless communication, instrumentation and machine inspection. Historically, this has been a relatively difficult function to implement optimally in hardware leading many software designers to use digital signal processors in soft...
FFT algorithm is the popular software design for spectrum analyzer, but doesnpsilat work well for parallel hardware system due to complex calculation and huge memory requirement. Observing the key components of a spectrum analyzer are the intensities for respective frequencies, we propose a Goertzel algorithm to directly extract the intensity factors for respective frequency components in the input...
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