## Intro to MATLAB – Part 4

We made it! This is the last post (for now anyway) in my four part Intro to MATLAB series. I reserve the right to go back and write more on the topic, but at the moment this is the end. If you’re just finding this and want to read the other posts in the series, I’ve made a super helpful Intro to MATLAB category where they are listed. Today we’re going to take a dive into editing code, finding ways to make your life easier, and just some bits of magic I’ve learned over the years that makes my life so much easier now. Let’s goooooo!

(more…)## Intro to MATLAB – Part 3

To debug or not to debug. Just kidding you’re always going to need to debug. My class has officially ended, so this weekend we’re posting the last two parts to the four part Intro to MATLAB series. This lecture I taught my class how to use the debugger in MATLAB to solve any sort of problem they may run into and how to make sense of any issues they had. Unfortunately this means there is no code associated with this class, but we can still go into detail. The best part about being able to debug is that it makes you look like a coding god, so it’s a skill worth learning.

(more…)## Intro to MATLAB – Part 2

I’m teaching an intro to MATLAB class and if it’s one thing I hate it’s hording knowledge so I’m sharing it here for all of you to enjoy! If you missed the first part, fear not you can find it here. I’ve also created a special category (the Intro to MATLAB category) where you can find these posts and a whole lot of other things I’ve taught, like my 10 week solid modeling for beginners classes and my incredibly detailed and surprisingly popular, know your spinal cord series (my personal favorite). Okay enough plugging my classes, let’s talk MATLAB.

(more…)## Intro to MATLAB – Part 1

Per my usual routine, I’m teaching a class and instead of hording the knowledge I’m putting it here for all of you to use! I’m even going to attach the example code I wrote, which has enough comments to fill a small book, to help everyone just starting out. As I explained to my students, this is an intro to MATLAB course so my focus is on showing how things are done in MATLAB and less on how to problem solve using MATLAB. Although the last two lectures have not been created yet so they may focus on problem solving, who knows.

(more…)## The coding hole

Help, I’ve fallen into a coding hole and I can’t get out! Okay, to be fair I actually DID get out, but at the time it felt like there was no hope and I would be trapped banging my head against a wall trying to figure out what I was doing. Today I figure we can discuss how I code and what my idea of a coding hole is, it will be a fun break for me.

(more…)## Day 17: Type 2 errors

Last post we did a quick bit on type 1 errors. As with anything, there is more than one way to make an error. Today we are talking type 2 errors! They are related in the sense and we’ll go over what that means and compare the two right… now!*

## Day 16: Type 1 errors

We did it, we cracked the coin conundrum! We managed the money mystery! We checked the change charade! We … well you get the idea. Last post we (finally) determined if our coin was bias or not. Don’t worry, I won’t spoil it for you if you haven’t read it yet. I actually enjoyed working through a completely made up problem, so if you haven’t read it, you really should. Today we’re going to talk dogs, you’ll see what I mean, so let’s dive in.*

## Day 15: Significance, Part 3

It looks like we’ve arrived at part 3 of what is now officially a trilogy of posts on statistical significance. There is so much more to say I don’t want to quite call this the conclusion. Instead, let’s give a quick review of where we left off and we can get back to determining if an observed value is significant.*

## Day 14: Significance, Part 2

Well here we are two weeks into 365DoA, I was excited until I realized that puts us at 3.8356% of the way done. So if you remember from last post we’ve started our significance talk, as in what does it mean to have a value that is significant, what does that mean exactly, and how to do we find out? Today is the day I finally break, we’re going to have to do some math. Despite my best efforts I don’t think we can finish the significance discussion without it and still manage to make sense. With that, let’s just dive in.*

## Day 13: Significance, Part 1

If you’ve read my last post I hinted that today we would discuss filtering. Instead I think I want to take this a different direction. That isn’t to say we won’t go over filtering, we most definitely will. Today I want to cover something else though, significance. So you’ve recorded your signal, took an ensemble average, and now how do we tell if it actually means something, or if you are looking at an artificial or arbitrary separation in your data (IE two separate conditions lead to no difference in your data). Let’s look at significance.*

## Day 12: Signal, cutting through the noise

Noise, it can be troublesome. Whether you are studying and someone is being loud or you are trying to record something, noise is everywhere <stern look at people who talk during movies>. Interestingly enough the concept of noise in a signal recording sense isn’t all too different from dealing with talkative movie goers, so let’s talk noise!*

## Day 11: Why even use the spectrogram?

So you wanna use a spectrogram… but why? What does a spectrogram do that we can’t do using some other methods for signal processing? As it turns out, there is a lot of reasons you may want to use the spectrogram and today we are going to cover some of those reasons and number four may shock you! (okay not really, what do you think this is a clickbait website?)*

## Day 10: Spectrogram vs. the banana of uncertainty

Well ten days in and we’ve just introduced the idea of the spectrogram. While a lot of this information is just the broad strokes, I like to think that we’ve covered enough to give you a good idea about how to use these tools and what they are used for. However, we do need to discuss a limitation to the spectrogram, something called the banana of uncertainty, okay not quite the name, but you’ll see why I keep calling it that.*

## Day 9: Reading a Spectrogram

Last post we introduced a new tool in our arsenal of signal processing analysis, the spectrogram. Without knowing how to read it, it just looks sort of like a colored mess. Don’t get me wrong, it is an interesting looking colored mess, but a mess nonetheless. Well today we are going to talk about how to interpret the plot and why exactly we would ever use this seeming monstrosity.*

## Day 8: The Spectrogram Function

To (somewhat) continue with our signal processing theme that we have going on at the moment, over the next few days, let’s look at something called the spectrogram. It’s three dimensions of fun!*