Digital Signal Processing Jobs
Digital Signal Processing (DSP) is the science of collecting, manipulating, and analyzing digital signals. A Digital Signal Processing expert is someone with a deep understanding of algorithms, applied mathematics and engineering that can take the digital signal, analyze it, and optimize the data processing. This expert can help clients maximize performance and quality of their products or projects and come up with more efficient scalable solutions.
What makes a Digital Signal Processing Expert so valuable is their capability to create custom and innovative solutions that clients may not have previously considered. They primarily apply their expertise to areas such as image analysis, biomedical applications, audio and video compression as well as wireless communications.
Here’s some projects our experts have made real:
- Incorporating machine learning into detecting curves with artificial neural networks
- Enhancing the accuracy of signals through fine tuning code written in C++
- Implementing adaptive filters to evaluate the properties of images measured on the pixel by pixel basis
- Generating code for complex C2000 MCU f28335 DSPs for medical development projects
- Integrating internet of things (IoT) multimedia communication
- Devising system identification technologies based on frequency domain adaptive filtering (FDAF)
- Analysing EEG & ECG readings through signal filtering and amplification technology
Digital Signal Processing is an incredibly useful tool for processing data in a quickly growing realm of hardware and software development. Our expert Digital Signal Processing experts on Freelancer.com can make the most complex of ideas come to life by offering both theoretical insight and technical know-how. If you have a project in mind, don’t hesitate to post your project here and hire one of our top rated freelancers today!
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As an individual working in the signal processing industry, I'm currently running a project that needs some expert technology adaptability. The project involves: - Converting an existing Matlab code into CUDA. - Ensuring the code correctly executes Fourier transforms when run on a Jetson Nano platform. The ideal candidate for this assignment would have: - An extensive working knowledge of Matlab and CUDA. - Strong experience in handling signal processing tasks, especially Fourier transforms. - Proven experience in dealing with the Jetson Nano platform. - Excellent debugging skills to ensure the proper functioning of the transferred code. If you possess these skills and experience, feel free to submit a bid. Looking forward to working with a proficient and dedicated freelancer who ...
I'm seeking a proficient Audio Machine Learning Engineer. The main objective of this project is to build, test, and implement a machine learning model that works effectively with multiple languages, interpreting user-uploaded audio files. Work to carry out: Make a unsupervised model of SER- Speech Emotion Recognition for 4 emotion i.e sad, happy,anger and fear. - Dataset already created of 150 sample in .wav files at 16khz, 16bit mono audio with emotion annotated of file name 4th letter. (Cannot share Dataset, as it is under process for research paper) - Feature extraction: (make sperate folder after feature extracted) 1. Time-domain features - *short-term energy of signal, zero crossing rate, maximum amplitude, minimum energy, entropy of energy* 2. Frequency-domain features-...