MATLAB EXPO 2023 Japan is the world’s largest comprehensive technology conference for MATLAB and Simulink. In addition to keynote speeches, you can listen to technical lectures and case study presentations by various users. We also have various programs such as MathWorks demo booths where you can talk directly with… Read More
Date: Thursday, September 22, 2022
Time: 12:00pm – 1:00pm (PDT)
As semiconductor process technology advances, predicting and achieving design power, performance, and area (PPA) goals become increasingly difficult. Developing high-performance algorithms for AI and signal processing is particularly challenging… Read More
It hard to imagine design of a complex signal processing or computer vision application starting somewhere other than in MATLAB. Prove out the algorithm in MATLAB, then re-model in Simulink, to move closer to hardware. First probably an architectural model, using MATLAB library functions to prove out behavior of the larger system.… Read More
AI accelerators as engines for object or speech recognition (among many possibilities), are becoming increasingly popular for inference in mobile and power-constrained applications. Today much of this inferencing runs largely in software on CPUs or GPUs thanks to the sheer size of the smartphone market, but that will shift… Read More
At the Design Automation Conference, no one is busier than an EDA company executive — conference panels, product launch briefings, customer meetings, and corporate dinners all place considerable demands on their time. I was fortunate enough to be able to meet with Anirudh Devgan, President of Cadence, at the recent DAC55 in San… Read More
Floating-point computation has been a staple of mainframe, minicomputer, supercomputer, workstation, and PC platforms for decades. Almost all modern microprocessor IP supports the IEEE 754 floating-point standard. Embedded design, for reasons of power and area and thereby cost, often eschews floating-point hardware… Read More
On the first two chapters of this Tutorial we started with a simple LFSR module and added a test bench. Then, on chapters three and four we upgraded our module with some features and learned to export the test bench data to files.
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In the first part of this tutorialwe started with a simple implementation of an LFSR block (Chapter 1) and its test bench (Chapter 2). Let’s make our code look a bit more professional.
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In this tutorial we will see how to design a VHDL block. We will start with a very simple block and we will gradually add features to it. We will also simulate it and test its output with Matlab. Over the process we will see:
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The simple answer is when everything in the world is smart. But if you think deeply, you would find that the continuous progression to make things easy in life is what makes the world smarter day-by-day – the sky is the limit. In the world of computing, consider the 17[SUP]th[/SUP] century era when humanbrain was used as a computer … Read More