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First commit - contains polar, TBCC encoder, and some 5G

.gitattributes

@@ -57,3 +57,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+rx/dec_polar_scf/scf_n256_k192_crc8_t10_Q0.in filter=lfs diff=lfs merge=lfs -text
+tx/tbcc_encoder_lte/conv_encoder_tvec.out filter=lfs diff=lfs merge=lfs -text
+tx/tbcc_encoder_lte/tbcc_encoder_tvec.out filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,52 @@
----
-license: mit
----
+# Arkastone Test Vectors
+
+This dataset contains structured, versioned, and reproducible test vectors used in the **Arkastone** simulation framework for validating various encoder and decoder modules in a 5G-like communication stack.
+
+The test vectors are grouped by subsystem — `coding`, `tx`, and `rx` — and organized for clarity, reproducibility, and CI/CD integration.
+
+---
+
+## 📁 Folder Structure
+
+- `coding/` – Reference encoder data, matrices, and metadata (e.g., Polar, NR5G)
+- `rx/` – Test inputs and expected outputs for decoder validation (SC, SCF, etc.)
+- `tx/` – Encoder test vectors for LTE-like Turbo Convolutional Coding (TBCC)
+
+---
+
+## ✅ Highlights
+
+- Files follow naming convention:  
+  `ppile_<scheme>_n<N>_k<K>_[extra]_Q<quant>.in/.out`
+- All `.in` files are input to decoder/encoder modules
+- All `.out` files represent validated output (bit-level)
+- Large metadata is compressed (`.tar`), grouped under `polar_nr5g_wrapper`
+- Quantization schemes follow Q0 fixed-point rules (unless noted)
+- Readme files are provided in each directory for more detailed usage
+
+---
+
+## 💡 Design Principles
+
+- Avoid deep nesting for visibility and accessibility
+- Ensure reproducibility across CI and local testing
+- Separate heavy test vectors from source code repositories
+- Enable scalable testing without Git LFS constraints
+- Hosted externally for easy integration and public collaboration
+
+---
+
+## 📜 License
+
+All test vectors and associated metadata are released under the **MIT License** unless stated otherwise.
+
+---
+
+## 🧠 Notes
+
+- This structure is optimized for [Hugging Face Datasets](https://huggingface.co/datasets) and integrates cleanly with Python-based simulations.
+- You may reference these vectors from simulation scripts or GitHub Actions using a downloader script and manifest.
+
+---
+
+Maintained by [Furkan Ercan](https://github.com/furkanercan)

coding/polar_gmat_64x128/Gmat.csv

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coding/polar_gmat_64x128/README.md

@@ -0,0 +1,27 @@
+# Polar GMAT 64x128 Test Vectors
+
+This directory contains test data extracted using the traditional polar encoder implemented in the Arkastone framework.
+
+---
+
+## 📄 Files
+
+- `Gmat.csv`: Generator matrix used for encoding
+- `uncoded_data.csv`: Input information bits
+- `encoded_data.csv`: Output bits after encoding
+
+---
+
+## ✅ Notes
+
+- The generator matrix and associated data were extracted using a **64x128** Polar code configuration.
+- These vectors are generated from the same encoder implementation used in simulation, ensuring consistency.
+- The polar framework used here has been **extensively validated**, so these test cases are considered reference-grade.
+
+---
+
+## 🔒 Assumptions
+
+- No CRC or puncturing applied
+- Systematic encoding is not enabled
+- Q0 quantization is assumed where applicable

coding/polar_nr5g_wrapper/README.md

@@ -0,0 +1,32 @@
+# Polar NR5G Wrapper Test Metadata
+
+This directory contains digitized plot data extracted from Valerio's paper, used to validate performance of the Polar NR5G wrapper encoder in Arkastone.
+
+---
+
+## 📄 Contents
+
+- `automeris_pdcch_1.tar`: Full-resolution PDCCH curve
+- `automeris_pdcch_2.tar`: Zoomed-in version of PDCCH curve
+- `automeris_pucch_1.tar`: Full-resolution PUCCH curve
+- `automeris_pucch_2.tar`: Zoomed-in version of PUCCH curve
+
+---
+
+## 🧰 How to Use
+
+These `.tar` files contain digitized data extracted using the [WebPlotDigitizer](https://automeris.io/wpd/) tool.  
+To reuse the digitized plots:
+
+1. Visit: [https://automeris.io/wpd/](https://automeris.io/wpd/)
+2. Log in (free account)
+3. Upload the `.tar` file to view and export the dataset
+
+---
+
+## 📌 Notes
+
+- The digitized plots correspond to PDCCH and PUCCH performance curves from Valerio's publication.
+- Each signal type includes a zoomed-in version to support fine-grain analysis.
+
+"""

coding/polar_nr5g_wrapper/polar_nr5g_test_metadata/automeris_pdcch_1.tar

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rx/README.md

@@ -0,0 +1 @@
+This repository contains the test vectors for the Arkastone framework.

rx/dec_polar_sc/README.md

@@ -0,0 +1,48 @@
+# SC Decoder Test Vectors (Polar)
+
+This directory contains validated test vectors used for **Successive Cancellation (SC)** decoding in the Arkastone framework.
+
+---
+
+## 📄 File Naming Convention
+
+Each test case includes:
+- `.in` — Input LLRs for the SC decoder
+- `.out` — Expected hard-decoded output bits
+
+Files follow this format:
+```
+sc_n<N>_k<K>_Q<quant>.in/.out
+```
+
+---
+
+## 🔢 Quantization Format (Q-notation)
+
+The suffix `Q<format>` describes the quantization used:
+
+- `Q0` → No quantization (i.e., floating-point LLRs)
+- `QXYZ` → Quantized format, where:
+  - **X** = number of bits for internal decoder quantization
+  - **Y** = number of bits for external (channel) quantization
+  - **Z** = number of fractional bits (for fixed-point representation)
+
+Example:  
+`Q751` → 7-bit internal, 5-bit external input, 1 fractional bit (fixed-point)
+
+---
+
+## 📌 Notes
+
+- These vectors are generated from a private repository developed during Furkan Ercan's PhD, named **ppile**.
+- SC decoder configurations are modeled after realistic **3GPP NR Polar codes**, as defined in TS 38.212.
+- Naming is consistent with encoder settings used in the Arkastone simulation chain.
+
+---
+
+## 🔒 Assumptions
+
+- CRC is not applied in these test vectors
+- Test vectors are generated using various SNR points, which are intentionally not provided. The goal is to verify the functionality, not the performance.
+- LLRs are either raw float (Q0) or fixed-point (QXYZ)
+- Channel model is AWGN with zero mean

rx/dec_polar_scf/README.md

@@ -0,0 +1,49 @@
+# SCF Decoder Test Vectors (Polar)
+
+This directory contains validated test vectors used for **Successive Cancellation Flip (SCF)** decoding in the Arkastone framework.
+
+---
+
+## 📄 File Naming Convention
+
+Each test case includes:
+- `.in` — Input LLRs for the SCF decoder
+- `.out` — Expected hard-decoded output bits
+- `.txt.raw` — Raw trace or metadata used for analysis (optional)
+
+Files follow this format:
+```
+scf_n<N>_k<K>_crc<crc>_t<max_flips>_Q<quant>.in/.out
+```
+
+---
+
+## 🔢 Quantization Format (Q-notation)
+
+The suffix `Q<format>` describes the quantization used:
+
+- `Q0` → No quantization (i.e., floating-point LLRs)
+- `QXYZ` → Quantized format, where:
+  - **X** = number of bits for internal decoder quantization
+  - **Y** = number of bits for external (channel) quantization
+  - **Z** = number of fractional bits (for fixed-point representation)
+
+Example:  
+`Q562` → 5-bit internal, 6-bit external input, 2 fractional bits
+
+---
+
+## 📌 Notes
+
+- These test vectors are produced using a private decoding framework developed during Furkan Ercan's PhD called **ppile**.
+- All configurations are aligned with **3GPP NR Polar codes** as defined in TS 38.212.
+- `crc<crc>` denotes the CRC length used (e.g., `crc8`)
+- `t<max_flips>` specifies the maximum number of bit-flips allowed in the SCF process
+
+---
+
+## 🔒 Assumptions
+
+- AWGN channel model
+- LLRs are in either floating-point (`Q0`) or fixed-point (`QXYZ`) format
+- Output is the final decoded bitstream after SCF post-processing

rx/dec_polar_scf/scf_n256_k192_crc8_t10_Q0.in

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+size 19692474

rx/dec_polar_scf/scf_n256_k192_crc8_t10_Q0.txt.raw

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tx/tbcc_encoder_lte/README.md

@@ -0,0 +1,123 @@
+# Tail Biting Convolutional Encoder (LTE Rate 1/3)
+
+This project provides a minimal test wrapper for the LTE-style tail biting convolutional encoder using an isolated function from the SRSRAN stack.
+
+---
+
+## 📌 Dependency: `srsran_convcoder_encode`
+
+This project depends on a stripped-down version of the convolutional encoder module from [SRSRAN](https://github.com/srsran/srsRAN). Only the following function and struct are used:
+
+### 🔧 Function
+
+```c
+int srsran_convcoder_encode(srsran_convcoder_t* q, uint8_t* input, uint8_t* output, uint32_t frame_length);
+```
+
+### 🧱 Struct
+
+```c
+typedef struct {
+   uint32_t R;             // Code rate denominator (e.g., 3 for rate-1/3)
+   uint32_t K;             // Constraint length (e.g., 7)
+   int      poly[3];       // Generator polynomials (octal): 0133, 0171, 0165
+   bool     tail_biting;   // Enables tail biting (set true for LTE)
+} srsran_convcoder_t;
+```
+
+### ⚠️ Frame Length Requirement
+
+```c
+frame_length > q->K + 1
+```
+
+- For LTE (K=7), `frame_length` must be at least **9**.
+
+---
+
+## 🛠 Build Instructions
+
+### ✅ GCC (Command Line)
+
+```bash
+gcc -g main.c convcoder.c -o tbcc_test
+./tbcc_test
+```
+
+> Make sure both `main.c` and `convcoder.c` are in the same folder.
+
+---
+
+### 🐞 VSCode Setup
+
+1. Install the **C/C++ Extension** by Microsoft
+2. Create a `.vscode/tasks.json` file:
+    ```json
+    {
+      "version": "2.0.0",
+      "tasks": [
+        {
+          "label": "build",
+          "type": "shell",
+          "command": "gcc",
+          "args": ["-g", "main.c", "convcoder.c", "-o", "tbcc_test"],
+          "group": { "kind": "build", "isDefault": true },
+          "problemMatcher": ["$gcc"]
+        }
+      ]
+    }
+    ```
+
+3. Create `.vscode/launch.json` for debugging:
+    ```json
+    {
+      "version": "0.2.0",
+      "configurations": [
+        {
+          "name": "Debug TBCC",
+          "type": "cppdbg",
+          "request": "launch",
+          "program": "${workspaceFolder}/tbcc_test",
+          "args": [],
+          "stopAtEntry": false,
+          "cwd": "${workspaceFolder}",
+          "environment": [],
+          "MIMode": "gdb",
+          "preLaunchTask": "build"
+        }
+      ]
+    }
+    ```
+
+---
+
+## 🧪 Example Use
+
+```c
+uint8_t input_bits[] = {1,0,1,1,0,0,1,1,1};
+srsran_convcoder_t coder = {
+    .R = 3,
+    .K = 7,
+    .poly = {0133, 0171, 0165},
+    .tail_biting = true
+};
+srsran_convcoder_encode(&coder, input_bits, output_bits, 9);
+```
+
+---
+
+## 📂 File List
+
+```
+main.c              # Test harness
+convcoder.c         # TBCC encoder implementation
+convcoder.h         # Struct and function prototype
+.vscode/            # VSCode debug/build configs
+README.md           # This file
+```
+
+---
+
+## 🔗 License
+
+Derived from open-source SRSRAN; retain license compliance if redistributing.

tx/tbcc_encoder_lte/conv_encoder_tvec.out

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