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AT4 wireless Increases Internal Test Coverage to Over 90% for LTE Physical Layer Test Equipment Desi

“MATLAB is a universal language that makes it easy to exchange algorithms and test results across our team. Our physical layer model in MATLAB and Simulink enabled us to better understand the LTE specifications, and Model-Based Design enabled us to verify that our FPGA implementation conformed to those specifications.” —Francisco Javier Campos, AT4 wireless

Samsung UK Develops 4G Wireless Systems with Simulink

"Simulink enables us to easily share proposals and knowledge with other design centers. Simulink also allows us to focus on algorithm design and perform state-of-art mathematical analysis, assessment, simulation, and optimization." - Dr.Thierry Lestable, SERI

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Signal Processing Toolbox

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Perform signal processing, analysis, and algorithm development

signal-processing-toolbox 51826 wm figure1 wAnalysis and visualization tools for verifying numerical accuracy and performance. Example plots from Signal Processing Toolbox include (clockwise from top left): A periodogram of a numerically controlled oscillator; a reconstructed ECG signal using the Walsh-Hadamard transform shown with the original ECG signal; the magnitude response of a low-pass FIR filter, with a specification mask overlay; and the impulse response of a Gaussian pulse-shaping filter for various bandwidths.

 

Signal Processing Toolbox™ provides industry-standard algorithms for analog and digital signal processing (DSP). You can use the toolbox to visualize signals in time and frequency domains, compute FFTs for spectral analysis, design FIR and IIR filters, and implement convolution, modulation, resampling, and other signal processing techniques. Algorithms in the toolbox can be used as a basis for developing custom algorithms for audio and speech processing, instrumentation, and baseband wireless communications.

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