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---

license: mit
tags:
- pytorch
- safetensors
- threshold-logic
- neuromorphic
- error-correction
- hamming-code
---


# threshold-hamming74encoder

Hamming(7,4) encoder. Transforms 4 data bits into a 7-bit codeword with single-error correction capability.

## Circuit Overview

```

     d1  d2  d3  d4

      β”‚   β”‚   β”‚   β”‚

      β”œβ”€β”€β”€β”Όβ”€β”€β”€β”Όβ”€β”€β”€β”€

      β”‚   β”‚   β”‚   β”‚

      β”‚   β”‚   β”‚   └────────────────────────────► c7 = d4

      β”‚   β”‚   └───────────────────────► c6 = d3

      β”‚   └──────────────────► c5 = d2

      └─────────────► c3 = d1

      β”‚   β”‚   β”‚   β”‚

      β–Ό   β–Ό   β”‚   β–Ό

    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”

    β”‚ d1 XOR d2 XOR │──────► c1 = p1

    β”‚      d4       β”‚

    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

      β”‚       β”‚   β”‚

      β–Ό       β–Ό   β–Ό

    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”

    β”‚ d1 XOR d3 XOR │──────► c2 = p2

    β”‚      d4       β”‚

    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

          β”‚   β”‚   β”‚

          β–Ό   β–Ό   β–Ό

        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”

        β”‚ d2 XOR d3 XOR │──► c4 = p3

        β”‚      d4       β”‚

        β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

```

## The Hamming(7,4) Code

Richard Hamming invented this code in 1950. It encodes 4 data bits into 7 bits such that any single-bit error can be detected and corrected.

**Codeword structure:**

| Position | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|----------|---|---|---|---|---|---|---|
| Bit | p1 | p2 | d1 | p3 | d2 | d3 | d4 |
| Type | parity | parity | data | parity | data | data | data |

**Parity equations:**
- p1 = d1 βŠ• d2 βŠ• d4 (covers positions 1,3,5,7)
- p2 = d1 βŠ• d3 βŠ• d4 (covers positions 2,3,6,7)
- p3 = d2 βŠ• d3 βŠ• d4 (covers positions 4,5,6,7)

## 3-Way XOR Implementation

Each parity bit requires a 3-input XOR. In threshold logic:

```

XOR(a,b,c) = XOR(XOR(a,b), c)



      a   b

      β”‚   β”‚

      β””β”€β”¬β”€β”˜

        β–Ό

    β”Œβ”€β”€β”€β”€β”€β”€β”€β”

    β”‚ XOR   β”‚  (2 layers)

    β””β”€β”€β”€β”€β”€β”€β”€β”˜

        β”‚

        β”‚   c

        β””β”€β”¬β”€β”˜

          β–Ό

      β”Œβ”€β”€β”€β”€β”€β”€β”€β”

      β”‚ XOR   β”‚  (2 more layers)

      β””β”€β”€β”€β”€β”€β”€β”€β”˜

          β”‚

          β–Ό

     XOR(a,b,c)

```

Total depth: 4 layers per parity. All three parities compute in parallel.

## Code Properties

| Property | Value |
|----------|-------|
| Data bits (k) | 4 |
| Codeword bits (n) | 7 |
| Parity bits (n-k) | 3 |
| Minimum distance | 3 |
| Error correction | 1 bit |
| Error detection | 2 bits |

## Example Encoding

```

Data: 1011



p1 = 1 βŠ• 0 βŠ• 1 = 0

p2 = 1 βŠ• 1 βŠ• 1 = 1

p3 = 0 βŠ• 1 βŠ• 1 = 0



Codeword: 0110011

          ↑↑ ↑

          p1p2p3

```

## Architecture

| Component | Neurons | Parameters |
|-----------|---------|------------|
| p1 (3-way XOR) | 6 | 22 |
| p2 (3-way XOR) | 6 | 22 |
| p3 (3-way XOR) | 6 | 22 |
| d1-d4 pass-through | 4 | 20 |
| **Total** | **22** | **86** |

**Layers: 4** (two cascaded XOR stages)

## All 16 Codewords

| Data | Codeword | HW |
|------|----------|-----|
| 0000 | 0000000 | 0 |
| 1000 | 1110000 | 3 |
| 0100 | 1001100 | 3 |
| 1100 | 0111100 | 4 |
| 0010 | 0101010 | 3 |
| 1010 | 1011010 | 4 |
| 0110 | 1100110 | 4 |
| 1110 | 0010110 | 3 |
| 0001 | 1101001 | 4 |
| 1001 | 0011001 | 3 |
| 0101 | 0100101 | 3 |
| 1101 | 1010101 | 4 |
| 0011 | 1000011 | 3 |
| 1011 | 0110011 | 4 |
| 0111 | 0001111 | 4 |
| 1111 | 1111111 | 7 |

Note: Minimum Hamming distance between any two codewords is 3.

## Usage

```python

from safetensors.torch import load_file



w = load_file('model.safetensors')



def hamming74_encode(d1, d2, d3, d4):

    """Encode 4 data bits to 7-bit Hamming codeword"""

    # See model.py for full implementation

    pass



# Encode data word 1011

codeword = hamming74_encode(1, 0, 1, 1)

# Returns [0, 1, 1, 0, 0, 1, 1]

```

## Files

```

threshold-hamming74encoder/

β”œβ”€β”€ model.safetensors

β”œβ”€β”€ model.py

β”œβ”€β”€ config.json

└── README.md

```

## License

MIT