From smartphones to wearable devices, from healthcare to finance, signal processing is much closer than you think. Basically, any information can be represented as a signal: speech, audio, image, video, text, stock or electricity prices, medical parameters or any other arbitrary data. The signal processing engineering, then, can be used for the extraction, interpretation and transformation of many different types of information. 

Is Your Industry Implementing Signal Processing? 

Signals are used to encode information in almost every imaginable domain. One of the most important research areas in signal processing is associated with the healthcare industry. Clinicians are dealing with lots of physiological information: heart rate, oxygen saturation level, brain activity, the glucose level in blood etc., which is received using different devices and sensors including X-rays, IR and optical cameras, MRI and CT. Biomedical signal processing engineering helps to analyze and interpret these data in the most efficient way and often provides algorithms for early-stage diagnosis. The latest advances in research in signal processing come from augmented reality (AR) and mixed reality (MR) applications. Efficient IMU signal filtering and sensor fusion help to keep robust camera tracking even in case of occlusions and strong motion blur. What about the consumer electronics industry? With all the digital home assistants, drones, smartphones, GPS and wearable devices, signal processing is definitely there. Smart cities? Yes, in particular, when it comes to autonomous driving where input from different sensor systems, including ultrasound, radar and cameras, needs to be converted into data for control action. Entertainment? Well, guess what technologies are behind motion capture and digital cinema. 

So, is there a place for the digital signal processing research in your business? Most likely, yes.

Signal Processing Engineering at It-Jim

For the majority of It-Jim developers, the multi-year academic background is closely related to digital signal processing research. This implies the combination of fundamental knowledge of signal processing concepts and hands-on experience in numerical modeling, simulation, and implementation of digital signal processing solutions using MATLAB, C/C++, and Python. Interested? You can always learn more about our expertise through numerous research papers on digital signal processing of our team members. At signal processing conferences and symposia, we often received the best paper awards and were invited as speakers and technical program committee members. Such extensive  experience has helped us to successfully integrate lots of custom signal processing algorithms into real products and systems.  

So if you are looking for top-notch signal processing solutions, we are here to offer our services and add value to your business by: 

  • developing custom approaches and efficient implementation of signal processing algorithms and models for various applications:
    • biomedical signal analysis
    • time-series analysis and forecasting 
    • signal processing in computer vision problems
    • sensor fusion (IMU, BLE, GPS, images, etc.)
    • signal processing for AR/MR
    • signal understanding, interpretation and filtering
    • optimization of signal processing algorithms (C++, Python)
  • conducting cutting-edge research in digital signal processing:
    • participation in R&D activities
    • technical consulting, oversight and guidance for digital signal processing projects.

Let Your Success Story Begin

Whether you are looking for a job as a signal processing specialist or for the company to provide you with the advanced signal processing solutions, you’re knocking at the right door. Tell us about yourself or your idea below or join our team of innovative and passionate researchers by submitting the application.

Signal Processing