PCG Signal segmentation using Shannon energy
Paid on delivery
PCG Signal Segmentation Project - Freelancer.com
I am looking for a skilled freelancer to assist me in segmenting an heart sounds audio signal using Shannon energy into heart beat cycle segments and save them as wave files.
first apply Butterworth passband
1- heart sound signal using Shannon energy directly and save as wav file
2- Each PCG recording was decomposed into four frequency bands (i.e. 25-45, 45-80, 80-200, and 200-400 Hz) and then apply the (1) segmented to different cardiac cycles using PCG segmentation using Shannon energy the 1 and save each segment as wav files.
- Expertise in audio signal processing and segmentation techniques
- In-depth understanding of Shannon energy and its application in signal segmentation
- Proficiency in relevant programming languages and tools (e.g., MATLAB, Python, etc.)
- Strong analytical and problem-solving skills
- Ability to work independently and efficiently to meet project deadlines
- Segmented audio signal with high accuracy
- Documentation of the segmentation process and methodology used
The ideal freelancer for this project would have experience in audio signal processing, specifically in segmenting audio signals using Shannon energy. They should have a proven track record of achieving high accuracy in their segmentation projects. Strong programming skills and a solid understanding of signal processing concepts are a must.
If you believe you have the necessary skills and experience for this project, please submit your proposal along with relevant samples of your previous work. I look forward to collaborating with a talented freelancer to successfully segment the PCG signal using Shannon energy with high accuracy.
Project ID: #37492047