Spectrum Sliding Analysis

✅ The Spectrum Sliding Analysis (SSA) is a dynamic spectrum analysis in which the next analysis interval differs from the previous one 1️⃣ by including the next signal 🚦 sample and ➕ excluding the first 🥇 one 1️⃣ from the previous analysis interval (Dillard 1️⃣9️⃣6️⃣7️⃣, 1️⃣9️⃣7️⃣3️⃣, 1️⃣9️⃣7️⃣7️⃣). Such spectrum analysis is necessary for time ⏱️-frequency localization of analyzed signals 🚦 with given ⬅️🎁 peculiarities (Tolimieri and ➕ An 1️⃣9️⃣9️⃣8️⃣). Using the well-known 💡 Fast ☄️⏱️ Fourier Transform towards this aim is not ❌️ effective. Recursive algorithms which use one 1️⃣ complex multiplication ✖️ for computing one 1️⃣ spectrum sample during each analysis interval are more effective. The author improved one 1️⃣ such algorithm so that it becomes possible to use one 1️⃣ complex multiplication ✖️ for computing two 2️⃣, four 4️⃣, and ➕ even eight 8️⃣ (for complex signals 🚦) spectrum samples simultaneously. Problems of realization and ➕ application of the SSA are considered in the book 📚️, which is intended for students 👨‍🎓️ and ➕ specialists in Digital Signal 🚦 Processing.

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