পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| জিরো-ফোর্সিং এবং মিনিমাম মিন-স্কোয়ার এরর ইকুয়ালাইজেশন× | মাল্টিপল-ইনপুট মাল্টিপল-আউটপুট (MIMO)× | |
|---|---|---|
| ক্ষেত্র | টেলিযোগাযোগ | টেলিযোগাযোগ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1974 | 1995 |
| প্রবর্তক≠ | Saleh Mansour and Paul Zervos | Telatar, Foschini, and Gans |
| ধরন≠ | linear equalization algorithm | spatial multiplexing technique |
| মৌলিক উৎস≠ | Proakis, J. G. (2001). Digital Communications (4th ed.). McGraw-Hill. link ↗ | Telatar, I. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585-595. DOI ↗ |
| অপর নাম | channel equalization, interference cancellation | spatial multiplexing, antenna diversity |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | Zero-Forcing (ZF) and Minimum Mean-Square Error (MMSE) equalization are fundamental linear receiver algorithms for combating intersymbol interference in dispersive channels. Developed in the context of data transmission theory, these methods form the basis of modern channel equalization in wireless and wired systems. While ZF aggressively cancels interference, MMSE balances interference suppression with noise enhancement, making it the optimal linear solution under Gaussian noise. | MIMO is a technique that uses multiple transmit and receive antennas to significantly increase channel capacity and reliability. Pioneered theoretically by Telatar (1999) and Foschini & Gans (1998), MIMO exploits multipath propagation—typically a liability in wireless—as an asset by creating independent spatial channels. It is now fundamental to all modern wireless systems including LTE, WiFi-6, and 5G, where it provides both capacity gains through spatial multiplexing and robustness through diversity. |
| ScholarGateডেটাসেট ↗ |
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