{"id":24490207,"url":"https://github.com/anshuman-02/modulation-scheme-ber-analysis","last_synced_at":"2026-05-19T11:06:30.741Z","repository":{"id":273540407,"uuid":"920059964","full_name":"Anshuman-02/Modulation-Scheme-BER-Analysis","owner":"Anshuman-02","description":"This project analyzes the Bit Error Rate (BER) for different modulation schemes (BPSK, QPSK, 16-QAM, and 64-QAM) in the absence of error-correcting codes. The results are plotted with respect to different Signal-to-Noise Ratios (SNRs).","archived":false,"fork":false,"pushed_at":"2025-01-21T13:55:13.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-21T14:38:53.685Z","etag":null,"topics":["awgn","beranalysis","bpsk","matlab","modulationschemes","qam","qpsk","signalprocessing","snr"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Anshuman-02.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-21T13:51:35.000Z","updated_at":"2025-01-21T13:55:16.000Z","dependencies_parsed_at":"2025-01-21T14:38:54.915Z","dependency_job_id":"08b4ff58-6227-4bb2-9fa1-eb4bc71e862f","html_url":"https://github.com/Anshuman-02/Modulation-Scheme-BER-Analysis","commit_stats":null,"previous_names":["anshuman-02/modulation-scheme-ber-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FModulation-Scheme-BER-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FModulation-Scheme-BER-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FModulation-Scheme-BER-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anshuman-02%2FModulation-Scheme-BER-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anshuman-02","download_url":"https://codeload.github.com/Anshuman-02/Modulation-Scheme-BER-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243670259,"owners_count":20328433,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["awgn","beranalysis","bpsk","matlab","modulationschemes","qam","qpsk","signalprocessing","snr"],"created_at":"2025-01-21T17:17:23.148Z","updated_at":"2026-05-19T11:06:30.696Z","avatar_url":"https://github.com/Anshuman-02.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Modulation Scheme BER Analysis\n\nThis project analyzes the Bit Error Rate (BER) for different modulation schemes (BPSK, QPSK, 16-QAM, and 64-QAM) in MATLAB. It demonstrates the impact of Signal-to-Noise Ratio (SNR) on the performance of each modulation scheme without the use of error-correcting codes.\n\n## Key Features:\n- BPSK, QPSK, 16-QAM, and 64-QAM modulation schemes.\n- Additive White Gaussian Noise (AWGN) is used for simulating noisy channels.\n- BER is calculated and plotted against SNR for each modulation scheme.\n\n## MATLAB Code:\n- `modulation_scheme.m`: Main script for BER analysis and plotting results.\n\n## How to Run:\n1. Download or clone the repository.\n2. Open the MATLAB script `modulation_scheme.m`.\n3. Run the script to generate BER vs. SNR plots for each modulation scheme.\n\n## Requirements:\n- MATLAB (R2020 or later recommended)\n- Communications System Toolbox\n\n## Results:\nThe script produces a plot showing the BER for different modulation schemes against varying SNR values.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Fmodulation-scheme-ber-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanshuman-02%2Fmodulation-scheme-ber-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanshuman-02%2Fmodulation-scheme-ber-analysis/lists"}