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Hardware & Design

Notes from My First Role in Leadership.

I learned a lot in my first experience in a leadership role. This list, by no means exhaustive, are the learnings I took away from the experience:

Bandwidth Sharing over Wireless

Process for determining wireless bandwidth requirements. Should be agnostic to frequency, band or protocol. It should accommodate interoperability of multiple transmitters/receivers in the environment and inside the product.

The first thing to understand is your use cases. Once you understand what your product is supposed to do the protocols and bands required usually follow directly due to the need to be compatible with 3rd party hardware.

Estimating CPU Power

Introduction
This is a basic outline for determining minimum CPU core, core mix and core frequency and also minimizing power consumption.

Define High Level Use Cases
First define what tasks your CPU will perform. This will usually be something like a certain number of computations per second, minimum frame rate in a game or video play back or web pages served.

Determine Design Constraints

Selecting an ESD Diode

Under specified datasheets and lack of understanding of ESD protection has made picking diodes a hit or miss scenario. This article will lay out a method to make your diode selection much more successful.

What is not covered:

  • Lightning strike protection
  • System level design

Choosing your ESD diode will require simultaneously solving the following four requirements:

Statistics in Engineering: Summary (Part 8 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Introduction
We've covered the basic methods of applying statistics to your design and verification environment. Now let's present them all together and discuss what method is most suited for a particular circumstance.

Statistics in Engineering: Statistical Process Control (Part 7 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Introduction
Now that we are familiar with all the basic statistical methods we can look at using them in the manufacturing space to monitor a process for error.

Statistics in Engineering: Analysis of Variance (Part 6 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Introduction
This article will demonstrate analysis of variance to analyze the results of a design of experiment (DOE).

Statistics in Engineering: Correlation (Part 5 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Introduction
This article will introduce the concept of correlation on a data set using the R Project software.

Statistics in Engineering: Hypothesis Testing Table Data (Part 4 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Introduction
This article will show step by step how to determine if one variable is dependent on a second variable. This method is useful when you are counting data and presenting it in table form.

Statistics in Engineering: Hypothesis Testing (Part 3 of 8)

Preface
This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

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