When performing frequency domain (FFT) based processing it is often useful to display a spectrogram of the frequency domain results. While there is a very good SciPy spectrogram function, this takes time domain data and does all of the clever stuff. However if you are processing data in the frequency domain you often just want to build the spectrogram dataset and keep appending FFT results to ..read more

The course first moved online in 2020 and has received excellent reviews from the attendees.The course will run from Monday 8th April to Friday 17th May 2024, with live online classes one afternoon per week.Based on the classroom course, Digital Signal Processing (Theory and Application), this online course consists of weekly live online tutorials and also includes a software lab that can be run ..read more

Over the holiday period I decided to refresh my knowledge of Kalman filters by watching the excellent video series here: Kalman Filter YouTube Lessons.Here is a diagram to show the architecture of the Kalman Filter:As a result, I have now added 1D and 2D Kalman filters to the SigLib DSP Library, which can be found here: https://github.com/Numerix-DSP/siglib.In the comments here https ..read more

Several years ago I worked on two projects that required code to be deployed on ARM devices, where the original algorithms had been developed in Matlab. I researched Matlab's Codegen capabilities and realized that it has some very useful features so I've generated a generic example, with no customer code, to demonstrate the capabilities.Among the many great features of Codegen is Whole Project ..read more

 The 31st annual running of the University Of Oxford Digital Signal Processing course will include an online edition that will be running over a six week period, from Monday 25th September to Friday 3rd November 2023.The course first moved online in 2020 and has received excellent reviews from the attendees.Based on the classroom course, Digital Signal Processing (Theory and Application), this ..read more

I often log DSP data to .log files, which are typically text files with comma separated columns. In order to plot the data I use a variant of the following Python file, which extracts the data columns and plots the results.For easier human reading, I typically use ", " for separating the columns, rather than just a single ",". This requires the use of the separator specifier and the use of the  ..read more

I needed to take a break from doing some consultancy work and writing code for customers but the weather is very British today so rather than brave the outdoors I thought I'd have a play with Chat-GPT and see how good it is at writing DSP code.I asked Chat-GPT the following: "write C code for FIR filter".Here are the results, along with the supporting comments provided by Chat-GPT:Here is an ..read more

The 31st annual running of the University Of Oxford Digital Signal Processing course will be running live, in Oxford, UK, from Monday 3rd July to Thursday 6th July 2023.The courses are presented by experts from industry for Engineers in industry and over the last 30 years has trained many hundreds of Engineers, from all areas of Science and Engineering.Here is a summary of the two courses.Digital ..read more

I was recently documenting some DSP equations in Latex and couldn't find any suitable examples so I've put them together and thought I'd share.The Fourier Transform\large \mathscr{F} \normalsize (x(t))=\int_{-\infty}^{\infty}x(t)e^{-j \omega t}dtRendering$$\large \mathscr{F} \normalsize (x(t))=\int_{-\infty}^{\infty}x(t)e^{-j \omega t}dt$$The Discrete Time Fourier TransformX(k) = \sum_{n=0}^{N-1 ..read more

The 30th annual running of the University Of Oxford Digital Signal Processing course will include a second online edition that will be running over a six week period, from Monday 17 Oct 2022 - Friday 25 Nov 2022.The course first moved online in 2020 and has received excellent reviews from the attendees.Based on the classroom course, Digital Signal Processing (Theory and Application), this online ..read more