T
T. Sansaloni
Researcher at Polytechnic University of Valencia
Publications - 23
Citations - 351
T. Sansaloni is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Field-programmable gate array & Viterbi decoder. The author has an hindex of 9, co-authored 23 publications receiving 339 citations.
Papers
More filters
Journal ArticleDOI
The use of CORDIC in software defined radios: a tutorial
TL;DR: This article shows how to use CORDIC to implement direct digital synthesizers, AM, PM, and FM analog modulators and ASK, PSK and FSK modulators, up-/down-converters of in-phase and quadrature signals, full mixers for complex signals, and phase detection for synchronizers.
Proceedings ArticleDOI
A study about FPGA-based digital filters
TL;DR: A set of operators suitable for digit-serial FIR filtering is presented and the main results show that the canonical form presents less occupation and higher throughput.
Journal ArticleDOI
FFT Spectrum Analyzer Project for Teaching Digital Signal Processing With FPGA Devices
TL;DR: The structure and methodology used in the proposed course are oriented to the design and implementation of an fast Fourier transform (FFT) spectrum analyzer, which enables students and engineers to understand and develop complex fixed-point applications.
Proceedings ArticleDOI
Efficient FPGA implementation of Cordic algorithm for circular and linear coordinates
TL;DR: This paper proposes an efficient FPGA implementation of a common CORDIC architecture for circular and linear coordinates and it is shown that if a common architecture is modeled with RTL style its implementation requires the double of area and the maximum throughput decreases more than a half.
Proceedings ArticleDOI
Design and FPGA implementation of digit-serial FIR filters
TL;DR: In this paper the design of a family of digit-serial 8th-order FIR filters with programmable coefficients is presented and every filter of the family allows the computation with full precision of the intermediate data.